IIAI Letters on Informatics and Interdisciplinary Research

The Impact of Avatar Customization Flexibility on Con-versational Satisfaction

2024-05-27T04:33:25+00:00

The use of the metaverse is becoming more widespread. Virtual space is believed to serve as a platform where young people with interpersonal concerns can gain confidence in their social participation. Ichino et al. have shown that self-disclosure is more likely when avatars do not resemble the user. However, a unique feature of the metaverse is the ability to communicate through an avatar of one's choice. In this study, we examined whether the level of conversation satisfaction in a virtual space differs when avatars are freely designed versus when they are not. The results suggest that participants who created their own avatars experienced an increase in conversation excitement.

Development of a Communication Analysis System for Detecting Isolated Users in Slack

2024-05-30T09:51:10+00:00

In recent years, various online communication tools such as Slack and Teams have been attracting attention. Unlike email, these tools have the advantage of reducing information oversight by enabling closed communication within an organization. Furthermore, they are more useful than email as they allow for easy messaging in a chat format and the ability to organize conversations by topic (a feature known as channels in Slack). Additionally, with the spread of remote work due to the COVID-19 pandemic, these tools have become increasingly utilized in many companies.
On the other hand, a drawback of online communication is that it becomes difficult to notice things that were visible in the workplace before. For example, employees who feel isolated and have trouble fitting into the organization could be discerned from their presence in the office or their expressions, but this is less visible online. Similarly, it’s harder to gauge the atmosphere of teams that are not performing well. In this study, to address these issues caused by the emphasis on online communication, we designed and developed a system to analyze online communication histories. We defined i ndicators to i dentify i solated users and developed a system capable of analyzing and visualizing data from the widely used Slack. In this paper, we outline the system, discuss the results of organizational analysis using the system, and provide insights into future prospects.

Changes in Students' Motivation to Study and Their Predictions

2023-12-20T02:57:18+00:00

The students' motivation to study in class is presumed to be closely related to their concentration. Previously, we have pointed out the similarity between the temporal variation of the motivation to study and the radioactive decay process. (A) In this paper, we attempted to verify the radioactive-decay approximation for the students' motivation. We also examined the validity for the predictive equation to describe the motivation. (B) For these verifications, we used data from 2022 and 2023 academic year. As a result, although there remains some degree of uncertainty in the approximation using continuous functions (including decay functions), we confirmed that the assumption of the radioactive-decay approximation is valid for the entire flow of ten sessions. It is also noted that the accuracy of the assumption of the radioactive-decay approximation is found to be higher than that of the linear approximation for only the six classes in the present study. Furthermore, we conclude that the formula for predicting radiative decay derived by the method we have found are valid to some extent. This implies that motivation level to study follows a natural law.

Decision Support System to Determine Feasibility of Rice Aid Recipient Group Based on K-Means

2023-12-29T03:23:41+00:00

Poverty is a crucial social problem in many countries. High economic inequality can lead to social instability. The Indonesian government seeks to alleviate poverty through the Rice for the Poor program. However, aid distribution is often off-target. This study proposes a decision support system based on the K-Means method to determine the group of poor rice recipients. The system was developed by following the user's functional requirements, in this case, the Banjarmasin City Social Service. This study involved 50 respondents as a test sample to evaluate the performance of the proposed system. In addition, this study conducted accuracy tests to assess the accuracy of system processing results. The test results show that the system's accuracy in distinguishing qualified and non-qualified candidates further strengthens its potential use in facilitating the allocation of social assistance to those in need.

Visualization for Easier Recognition of Low-risk and Successful Passes in a Basketball Match

2024-05-28T05:04:54+00:00

In order for a novice-player to improve the decision-making skill in basketball, s/he needs an ability to assess the game situation of every moment and select an appropriate movement for the succeeding future. In this study, the pressure fields obtained by calculation of the positioning metrics of all players on the court are used to assess the situation, and the values are used to find a low-risk and successful receiver for the pass thrown by the ball holder. We also propose and evaluate the prototype that visualizes the pressure fields as a VR-based simulator.

Banua Anyar Floating Net Cages, Is It Suitable or Not

2023-12-28T01:45:05+00:00

Floating Net Cages is a fishery business developed in Banua Anyar, Banjarmasin City. A total of 544 cages are managed by the Banua Anyar community. The majority of cages in Banua Anyar are used to cultivate Bawal fish. In 2019 there was a sudden death of all the fish in Floating Net Cages. This case was happened because low value of dissolved oxygen and high water salinity. So the study must be done to find out whether the location of the Floating Net Cages is suitable based on the physical and chemical parameters of fresh waters. This study is to ensure the sustainability of the Floating Net Cages and environmental carrying capacity. This study has used spatial analysis to perform scoring, spatial join and overlay in Inverse Distance Weighting (IDW) to obtained some information on physical and chemical parameters. The results indicated that of the 25 Floating Net Cages sample points, a total of 19 sample points were declared potential for Floating Net Cage and 6 sample points indicate quite suitable for Floating Net Cages. If examined based on physical and chemical parameters, it is indicated that several parameters do not meet the optimal value for aquaculture. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity. Physical parameters that indicate sample points are not optimal for cultivation include water depth, brightness and current speed. Chemical parameters indicating not optimal for cultivation include dissolved oxygen and salinity.

The Effect of Classroom Interventions of Reflection and Foreseeing on Mitigating Passive Procrastination in a Hybrid Learning Environment

2023-12-30T00:54:33+00:00

Online learning is often overlooked by teachers, making it easier for learners to procrastinate compared to face-to-face learning. Conversely, the online setting offers the advantage of customizable study schedules for learners to fit into their busy lives. Hybrid learning utilizes a combination of online and face-to-face instruction, and becomes a widely adopted approach to foreign language education. The focus of this study is to examine how teacher support can enhance self-regulated learning (SRL) awareness when conducting online learning tasks, while still promoting learner autonomy in a face-to-face environment The findings indicated that students’ tendency to procrastinate could not be regulated through assignments that were optimized for difficulty. However, some students were able to achieve learning without procrastination through reflection activities, even though the tendency to procrastinate was predictable based on psychological factors.

The Learning Effectiveness of IoT-enhanced Historical Role-Play Educational Game < Unveil Dutch Times >

2024-05-21T14:12:14+00:00

This research aims to develop an Internet of Things (IoT)-based large-scale board game to enhance elementary school students' history learning. The game <Unveil Dutch Times> integrates role-playing, scenario design, and Internet of Things (IoT), and emphasizes player interaction and immersion to enhance learning with GNS theory. The game uses the historical background of the Dutch colonial period in Taiwan as the teaching content, and places students in scenarios based on real historical events, so that they can explore and solve historical problems from the perspectives of different characters, thus enhancing their understanding of and emotional connection to the historical events. The pre-test and post-test analyses of a class of 22 sixth-grade students showed that the students' understanding of history increased significantly after participating in the game. The students' overall response to the game experience was positive, and they found the game process interesting and educational. This research established that the integration of Internet of Things (IoT) technology and role-playing board games can enhance students' sense of historical identity, enable learners to understand and empathize with various perspectives, emotions, and experiences of people in the past, and promote historical thinking and respect for diversity, thereby improving the effectiveness of history learning. This research provides a framework for teaching and learning that can be generalized to other history contents and curricula. This learning approach not only deepens students' understanding of history, but also stimulates their interests and engagement in learning.

Investigation of the Diversity of News Reading Article and Browsing Trends Using Sentence-BERT

2024-05-30T10:40:43+00:00

In modern life, platforms like a social networking service (SNS) play a crucial role by utilizing recommender systems to present useful information from vast datasets. However, the advancement of these systems has led to biases in user-exposed information, causing societal issues like public opinion conflicts and defamation. Furthermore, sentiment biases in the information viewed contribute to this problem, described as “informational malnutrition”. This highlights the need for “informational health”, where user access to various information maintains the balance of information intake they seek. In this work, we explored differences in user viewing tendencies based on the diversity of viewed articles, employing a dataset of news articles and user logs. We utilized Sentence-BERT, a natural language processing model known for its effective sentence similarity analysis, to vectorize articles and score their similarity, measuring users’ article diversity. Our analysis, considering sentiment content biases, used multiple regression. The results suggest that users with diverse viewing habits tend to prefer articles with a negative bias and that news in categories such as music, current affairs, and politics have a low contribution to the diversity of information viewed, and conversely, categories like entertainment and lifestyle content tend to have a high contribution to the diversity of information viewed.

Effects of Habit-Enhanced Assignment Design on Learning Behaviors and Psychological Factors of Japanese EFL Learners Under a Distant Online Learning Environment

2023-12-28T12:42:23+00:00

The COVID-19 pandemic has accelerated the integration of Information and Communication Technology (ICT) into education, with blended learning - a combination of in-person and online teaching - gaining significant attention. This study investigates two primary aspects: (1) how classroom interventions enhance habitual learning, focusing on the promotion and control of students' habitual learning behavior, and (2) the role of psychological factors, including cognitive aspects of Self-Regulated Learning and International Posture as a motivational factor, in facilitating habitual learning. This investigation takes place within a blended learning environment where asynchronous online learning complements traditional instruction. During a thirteen-week period, students were tasked with engaging in courseware in a habitual manner, completing one lesson every two or three days. At the beginning of each class every week, “Reflectio” and “Foresight” interventions were conducted. Subsequently, students' learning behaviors were meticulously analyzed and classified into distinct types. The findings revealed that some students displayed habitual learning behavior, some showed semi-habitual learning behavior, while others struggled to complete the tasks. Through a quantitative and qualitative analysis of psychological factors, including questionnaire responses and open-ended interview data, it was evident that students from various behavior types exhibited a diverse range of psychological influences. Despite these differences, almost all students concurred that classroom interventions effectively served as reminders to maintain habitual learning awareness. In conclusion, while these interventions proved effective as reminders and sources of encouragement, further attention to task design is imperative for enhancing habitual learning behavior across a spectrum of psychological factors.

Construction of Comprehensive Student Support Using Metaverse Platforms in a Distance Learning University

2024-05-27T11:36:11+00:00

In recent years, correspondence education has become more common, and the number of educa-tional institutions incorporating correspondence courses has increased enormously. As distance learning universities offer online classes via videos and other media, students do not need to commute to the campus and can engage in learning at any time of their choice. Therefore, these universities have students of a wide range of ages, including not only high school students, but also working adults and the older people. However, as these universities do not have campuses like the in-person learning universities, they have not established an environment to support stu-dents. Hence, student support is lacking, and many students are unable to keep up with their classes and choose to take a leave of absence or withdraw from school. Therefore, this study aims to construct an environment that enables comprehensive learning support not originally existing in distance learning. It specifically proposes and examines the construction of a comprehensive learning support environment for distance learning universities by building learning commons, a third place where students can casually interact with each other, and a student counseling room in the virtual space of the metaverse.

Application of Mental Health Android-based using Forward Chaining Method

2023-12-27T15:05:05+00:00

Someone who is experiencing mental disorders must carry out medical consultations and seek experts in the psychiatric field and this requires a lot of funds. Doing a self-diagnosis of mental health can result in mishandling, because you will carelessly take drugs that are not recommended by doctors, while going to a doctor requires a lot of money. This research was carried out to develop an android-based expert system to determine mental health using forward chaining method. This application was developed using the Kodular web operating system. Meanwhile, for supporting the application development, the data were gathered through direct observation, interviews, and library research. The final product of the research was Android-based mental health diagnosis application that makes it easier for someone to do an early analysis. By using this application, users are able to take action from the initial treatment suggestions displayed. In addition, as proof that this application runs well, the black box test has been carried out.

Measuring Usability on Mobile Education Game: the UMUX

2023-12-29T09:45:52+00:00

Layout inconsistencies within the system, redundant functionality, or the absence of a help button. All of these are instances of elements that make mobile gaming education quite frustrating. The purpose of this study is to assess the level of usefulness and value that may be found in mobile game education. The use of UMUX as a measuring instrument is a new addition to the usual collection of usability questionnaires, to test the perceived usability of a product or service by employing a smaller number of items that are more closely aligned with the definition of usability. In our study, we used method UMUX for online questionnaire. Respondents on this study is 50 people. The usability testing is done on a total of eight different instructional mobile game layouts. Result showed that layout with the highest value and grade is number 8 (85/A+), which displays the page for the “Tes Hafalan”. The layout with the lowest value and grade is number 5 (77/B+), which presents a page view of the Tajweed Law. Based on the CGS Table, mobile game education that was researched obtained an average score of 80.5, which corresponds to a grade of A-. These findings indicate a positive user experience, which is relevant to usability. On the other hand, UMUX is capable of interpreting a system in a way that is usable, albeit subject to a number of restrictions.

Development and Proposal of an Interactive Educational Platform Based on the Concept of Augmented Intelligence

2024-05-30T12:29:22+00:00

This research proposes a new form of digital educational content model, “Dynamic Textbook,” which combines artificial intelligence (AI) and education. In recent years, in distance learning, the prolifer-ation of digital learning materials and online learning platforms has made it possible to optimize learn-ing for individual students, irrespective of time and location constraints. However, this learning is predominantly in the form of on-demand teaching, which does not facilitate interactive learning be-tween educators and learners. Therefore, this research proposes a “Dynamic Textbook,” which incor-porates learner feedback and new information. “Dynamic Textbooks” enable an interactive learning process rather than traditional one-way learning and promote learners’ active participation. Moreover, it views the use of neuro-symbolic AI as a goal to create interactive and new digital educational content. In this research, we developed a prototype system with four main functions namely, presentation area, thumbnail navigation, interactive chat area, and AI-integrated response system and pro-posed its usefulness arising from its functionality and interactivity.

The Effect of Digital Workflows on Revenue Collection

2024-05-29T09:55:47+00:00

This study examines the impact of digital workflows on the efficiency of hotel tax collection within Provincial Administrative Organizations (PAOs) in Thailand. With the increasing com-plexity and demands of tax collection in a digital economy, traditional methods often fall short, leading to significant discrepancies in revenue collection and compliance enforcement. This research aims to assess whether implementing digital workflows can streamline pro-cesses, enhance compliance, and increase tax revenues. Using a quantitative research meth-odology, data from five provincial administrative organizations in northeastern Thailand were analyzed. The findings indicate that digital workflows significantly increase compli-ance rates among taxpayers. The results suggest that adopting digital solutions in tax collec-tion not only enhances operational efficiency but also contributes to more robust local gov-ernance and financial outcomes. This study contributes to public administration and finance literature by providing empirical evidence on the benefits of integrating technology into gov-ernment tax collection processes.

Geospatial Analysis of Road Networks in Determining Land Fire Evacuation Routes in Banjar Regency, South Kalimantan

2023-12-28T09:38:27+00:00

The land fires that occurred in 2019 in Banjar Regency, South Kalimantan disrupted economic, educational and public health activities. A total of 269,777 ha is flammable peatland. Banjar Regency experienced land fires of 22,943 ha. The number of hotspots in Banjar Regency was detected as many as 2000 points. Using analysisNetwork Analysis which is one of the analysis Geographic Information System (GIS) used to analyze the movement.The route will be built with the assumption that the route will be optimal for the distance traveled against the time it takes. Thus, this analysis will produce the fastest route (based on time) and the shortest route (based on distance).. The results indicate that from 8 sample points of API hotspots on peatlands, there are 8 evacuation buildings for evacuation routes with the fastest route and time in Road Class I, road width, road conditions and vehicle category.

Detecting Outliers from Quiz Response Times and Scores by Classifying Weekly Learning Patterns in a Blended Learning Course

2024-05-26T18:22:40+00:00

Learning management systems are now widely used in many classes, and learning logs are accu-mulated daily, making it increasingly important to mine knowledge and data for learning analyt-ics. In this study, a new experimental class was conducted to collect and analyze Moodle learning logs in a blended learning course in which 57 university students had pre-enrolled.Weekly learn-ing analytics were conducted focusing on quiz answer times and scores. Furthermore, the clus-tering heatmaps were generated to visualize the transition of learning status. Outliers were iden-tified using the interquartile range, 3σ method, and Mahalanobis’ generalized distance. The ex-perimental results observed that there were weeks when outlier learners appeared, whereas in other weeks, they did not.Although the majority of learners did not fall under the outlier category, it became clear that some learners were identified as outliermultiple times. Learners who repeat-edly fall into the outlier category are at risk of encountering challenges in their learning, so early academic intervention is desirable. Clustering heatmaps and outlier visualizations, which depict learning status, are influenced by attendees' learning motivation and prerequisite knowledge, re-sulting in varying outcomes across different classes. By performing outlier detection according to this paper every week, teachers can easily discover learners who are having trouble learning.

The Tahfizh Qur'an Learning Outcomes Monitoring System

2023-12-27T14:20:13+00:00

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Health History Information System for Medical Machine Analyzer Users

2023-12-29T07:21:45+00:00

In recent years, wearable technology has grown quickly in many areas, including health care, thanks to the Internet, more advanced hardware, and a lot of data. One example is the Quantum Analyzer. Patients won't be able to look at the results of medical tests done with the Medical Machine Analyzer tool, though. The goal of our study is to create a health records system for users of the quantum machine analyzer. You can only see these results by using the program, which is only available to the person who bought the tool. The system is built using the waterfall method of software development, which has steps for figuring out what needs to be done, designing it, writing the code, and testing it. The Health History Information System has many pages, such as the User homepage, the Patient page, the Consultant page, the Schedule page, the Contact page, the Form login page, the Homepage for the administrator, the Patient data page, the Registration data page, the History result data page, and the Form user page. Test two things to find out how well this method works: how well it works and how well it works. The Health History Information System was put together in a good way. This is clear from the results of testing for usefulness and efficiency by both users and administrators. Effective means that the Health History Information System is able to support the organization's business strategy, improve organizational structure and culture, and raise customer and business value in the health sector. While efficient means that this system has all the features it needs and has been built to its best potential.

How Smartphone Natives Can Learn Animation Principle: Introductory Animation Class for Students with No Art Background

2024-01-03T08:46:40+00:00

This paper presents a four-year case study on animation education within an Information Media department, focusing on smartphone integration. Although animation is commonly associated with fine arts departments, its use in various visual communication contexts on digital devices has expanded. Despite the conventional premise that animation is for students with art backgrounds, Kanagawa Institute of Technology (KAIT), Department of Information Media considers it essential to teach animation basics, even to students without art backgrounds. To address this, stop-motion on smartphones is adopted as a teaching tool for its low learning cost. The paper discusses how this approach, initiated during the COVID-19 pandemic, improved the efficiency of animation education. Notably, the use of smartphones extended beyond remote learning, enhancing the outreach of animation education even in face-to-face classes. The students who participated in this course not only had high learning enthusiasm, but also submitted excellent works. The paper concludes by confirming the potential of mobile technology to enhance learning.

Investigating the Influence of Competencies and Attitudes Nurtured through K-12 Education on Student Performance in Scrum-based System Development of Project Based Learning

2024-05-28T09:06:07+00:00

In software engineering curriculums at universities, project-based learning often incorporates agile methodologies, such as Scrum, to teach students how to continuously develop high-value software. However, the students’ implementation of Scrum is frequently met with challenges. This study investigates the relationship between the development processes of Scrum and the competencies and attitudes of the students, arguing that the problem may be due to the compe-tencies and attitudes nurtured through K-12 education.

Web-based Performances Evaluation Analysis of Civil Servants in Banjarmasin City Government Using Fuzzy Method

2023-12-28T04:59:25+00:00

The problem with reporting civil servants activities with the current system is that each activity uses points where civil servants who have many activities can easily collect points in a relatively short time. As well as the difficulty of determining civil servants who are diligent and who are not. In this study, a program was created to determine the diligent and not diligent civil servants using the web-based Fuzzy Tsukamoto method with the Laravel framework. This study uses 3 indicators, namely the number of activities, the number of minutes of activity and the percentage of attendance. Of the 3 indicators, for the first stage, the fuzzification value is sought, then from the results of the fuzzification value, inference and defuzzification can be calculated. The results obtained are the classification of civil servants, namely diligent and not diligent. From this final score, the government can determine the level of discipline of civil servants and can provide disciplinary awards or punishments.

Improving Usability of Smartphone Applications through User Inter-face Design Theory and Eye Tracking

2024-05-23T10:25:58+00:00

Smartphones have become ubiquitous devices used by individuals of all ages and back-grounds in modern society. In this context, User Interface (UI) design has emerged as a crit-ical element. UI design focuses on designing the usability of applications and similar plat-forms, prioritizing enhancing usability over aesthetics and visual appeal. Unlike software development, which has well-established methodologies, UI design methods are not yet fully established due to the subjective nature of design, heavily influenced by individual sensibil-ities and preferences. Creating a completely original service often necessitates designing from scratch, making it essential to find relevant design theories for reference. A compilation of essential design theories that must be adhered to can simplify the design process and make it more approachable. However, as UI design methodologies are still evolving, designers need to explore design approaches based on information from the internet and books. The "Four Principles of Design" are prevalent among the various design theories presented by designers. Yet, the effectiveness of these principles has not been extensively studied quanti-tatively. This paper aims to contribute to facilitating the initiation of UI design endeavors by elucidating the effects of the Four Principles of Design through the lenses of eye-tracking, cognitive psychology, flow theory, and mental models.

Analyzing the Learning Process in a Card Operation-Based Programming Learning Support System

2024-05-30T13:37:25+00:00

The Card Operation-based Programming Learning Support System (COPS) was developed as a tool to assist programming learning with a focus on helping learners understand the structure of programs. Previous studies have demonstrated that when this system is introduced into classes, it maintains learning outcomes equivalent to those of traditional coding-based learning while re-ducing learning time. However, as the difficulty of tasks increases, learners tend to systemati-cally search for answers relying solely on feedback functions (hints) without engaging in thoughtful problem-solving, a phenomenon known as knowledge-free solutions. Therefore, this study aims to enable instructors to intuitively grasp learners engaged in inappropriate learning activities by analyzing and visualizing the learning log data from COPS. Traditionally, the Le-venshtein distance has been used as a quantitative measure to evaluate learners' learning progress. In this study, we aim to enhance the analysis and visualization of the learning process by in-corporating the concept of taboo choices, aiming to improve the accuracy of detecting learners engaged in inappropriate learning activities. Taboo choices are selections with heavier penalties when chosen compared to regular dummy choices. We compared the detection accuracy of inappropriate learners using three patterns of visualization results with different weights for the penalties of taboo choices. The results demonstrate the significance of introducing the taboo choices mechanism in the analysis and visualization process.

Development of a Cybersecurity Training System Based on SaaS

2023-12-20T15:54:10+00:00

This study proposes the development of a cloud-based cyber attack and defense exercise system that enables practical cybersecurity exercises and experiences by using the Cyber Range environment built in a virtual space on the cloud via a local web browser. The platform and exercise programs will be developed on an open-source software platform built on the cloud as an ecosystem. The exercise contents will be developed using Docker, which has excellent portability, and attack and defense exercise scenarios will be produced as containers. By building the system in the cloud, this study proposes a platform that can be configured with various exercise scenarios independent of local PC performance. This study (1) develops a SaaS platform that can be connected to the cloud-based training environment via a web browser. (2) Enable users to interactively respond to attacks and defenses in a virtual space on the cloud in an internet environment. Finally, (3) The curriculums are structured based on microservices to be configured flexibly.

Using C4.5 Decision Tree to Determine the Majors of Students in SMAN 4 Banjarmasin to Reduce the Cause of DropOut from School

2023-12-29T03:49:08+00:00

Choosing the right major is important for students. Choosing the wrong major by students can make the learning process difficult and ineffective. Ineffective learning outcomes can lead to decreased grades. The worst case can cause students to drop out of school. In this study, the C4.5 algorithm is used to generate decision trees to determine major recommendations. The data used is data from previous year prospective students such as exam results, interests and talents used in the decision tree. The results of the decision tree are used for recommendations for selecting student majors. Students with the right majors can make the learning process more effective and can get better grades. Good grades can reduce the reasons for dropping out of school and make students more enthusiastic about learning.

Extraction of Emotional Patterns in Novels and Analysis of Their Transitions

2024-05-28T05:29:26+00:00

As part of research to analyze novels, this paper extracts emotions from novels and performs clustering to classify the patterns in which emotions appear in novels. Since transitions in emo-tions are important in novels, we clarify how emotions transition from the preceding parts of the novel to the ending parts, which are important for concluding the story. We also examine whether the patterns of appearance of emotions differ depending on the authors.

Design and Development of Student Attendance and Academic Consultation Information System in Bussiness Ad-ministration Department of Politeknik Negeri Banjarmasin

2023-12-28T02:07:31+00:00

The role of academic information systems is of utmost importance in the education sector, specifically in managing both academic and non-academic data and activities. The integration of information technology has become an essential requirement in developing valuable information systems to meet the academic service needs within a university campus. The provision of prompt and transparent services is vital for establishing a reputable institution with high value. However, many campuses still rely on traditional methods and have yet to fully harness the potential of technology as a source of information to enhance student services. By leveraging technology, students can conveniently access attendance records, receive academic consultation, and express their concerns without being constrained by time and location. To address the challenges faced by academic departments in handling a significant volume of student complaints, a reliable, user-friendly, and transparent information system is necessary. Web-based academic services serve as one feasible option for streamlining the management and resolution of student issues on campus, accessible through mobile devices and computers with internet connectivity. A web-based academic information system will be designed to cater encompassing academic services, administration, and suggestions. Through the implementation of such a system, it is anticipated that academic services on campus will become more effective, efficient, and transparent.

Epistemic Stance and Contextualization on MLM and NSP

2023-12-30T10:04:59+00:00

Error analysis in non-task-oriented dialogue systems has been discussed from many perspectives, mainly in the fields of Artificial Intelligence and Informatics. However, the current trend of error analysis focuses only on local elements and fails to incorporate the whole discourse, as shown in the masked language model and next language prediction. From a linguistic perspective, there are several reasons for errors and unnatural flow in conversations with a Chatbot. These can be stated as: 1) narrowly defined fragments of discourse and the concept of cohesion, 2) a lack of social intelligence in Chatbots due to the limited variety of corpora, and 3) the algorism uncertainty based on the limited variety of data.

This paper analyses the range of references seen in a Chatbot conversation, via qualitative and quantitative methods, and observes how errors are related to the coverage of references, why and how it occurs, and how this kind of error is related to current architectures.

The hypotheses are examined using two processes: 1) comparing the length of references between Chatbot and human interactions, 2) the frequency of errors in Chatbot conversations based on recognition of turn issues (such as insufficient recognition of references, recognition limited to two turns, and the fixed feedback move in a three-turn exchange structure) based on data from “Airfriend” and real, human-produced conversational data.

Exploring Elementary School Students’ Perceptions Towards Socioscientific Issues Through the Role-Playing GamePerceptions

2024-05-21T14:12:25+00:00

This study develops the simulation game <Future City> with role-playing mechanism and inquiry-based learning structure aiming to enhance the elementary school students' perceptions towards socioscientific issues. The research was conducted through a learning activity in a public elementary school in Taiwan, collecting data through pre- and post-tests administered to sixth-grade students. During the game, students took on different social roles, engaged in interactions, and made decisions to explore issues such as environmental protection, economic development, and social justice. The main findings of this study indicate that after participating in the <Future City>game-based learning, students showed significant positive changes in their perceptions towards environmental and social issues. There were divergent opinions among students when balancing economic benefits with sustainability and development, reflecting their depth of thought in understanding the balance between economic development and environmental protection. The results of the research emphasize the potential of educational games in promoting students' understanding of socioscientific issues and the development of critical thinking skills.

Changes in Teacher’s Awareness When First Supporting the Utilization of 1:1 Information Devices by Elementary School Students

2024-05-30T04:04:46+00:00

In this study, we conducted a structured interview with a teacher who supported elementary school students utilizing 1:1 information devices for the first time and evaluated the re-sponses to analyzed changes in the teacher’s awareness. Before the 1:1 information devices were used, the teacher was concerned about how to utilize them and the students’ unfamili-arity. In particular, the teacher did not expect to teach the students until after completely mastering their use herself. However, the teacher and students increased their familiarity with the 1:1 information devices in class, and as the students taught each other, they were even-tually able to utilize them. The teacher’s mindset had changed, and she tried to have the students teach her. Even with the 1:1 information devices, however, there were some aspects of the teacher’s awareness of classroom management and learning guidance that did not change.

Question Generation for English Reading Comprehension Exercises using Transformers

2023-11-27T07:02:00+00:00

In secondary language education, one tool used by teachers to test students' language ability is reading comprehension. The construction of these problems can take a lot of time as the text needs to contain only the vocabulary and grammar the students know, and the questions also need to test the reasoning skills the teachers want to evaluate. To allow educators to use reading comprehension exercises more frequently, this research aims to alleviate the time constraint of creating these questions by training a controllable transformer-based natural language processing model to create questions of varying types and about a passage of text as specified by the user. After fine-tuning, the questions generated using the new controls either suffered from overfitting or from a lack of diversity between them, however the output of an existing question generation control was altered and became capable of generating questions suitable for use in reading comprehension. To improve the output of the new controls, more data could be used in the training, or an alternative training scheme would need to be utilized.

A Web-based Information System of Receivables and Supplies with LIFO Method

2023-12-29T01:27:55+00:00

CV.Serasi is running a business on material buildings. However, it does not have any stock card.A large number of commercial items, but each item does not have a stock card since the adminsimply checks and knows whether the commodities are still there or have been depleted, so theycannot compute the worth of the commodity's primary price. Therefore, the researchers conducted a study on designing and creating an accounting information system entitled AWeb-Based Receivables and Inventory Information System with the Lifo Method at CV SerasiKota Banjarmasin. This system is expected to help the management performance at the store onthe transaction process, because it is planned to provide calculations in each sales transactionexpected to facilitate in the management of the store management. The system tools used in thedesign of this information system were: Data Flow Diagram (DFD) which functioned to describean existing system or a new system that would be developed logically and Entity RelationshipDiagram (ERD) which was useful for modeling a system that will later develop its database.

Confidence Effects in an EMI Classroom about Using Transcription Tools for Chinese-speaking Students

2024-05-28T06:44:27+00:00

With the rise of globalization, English has become an indispensable communication tool interna-tionally. To effectively respond to this trend, English Medium Instruction (EMI) is broadly adopted in Taiwan. This study uses an English meeting transcription tool to visualize speech as text, allowing oral learners to discover areas for improvement in their speaking through the text. By integrating scientific methods into English-speaking classes through visual aids, we enhance individualized speaking learning guidance, enabling students to reflect on their pronunciation and ultimately mitigate anxiety related to English speaking. While using the English meeting tran-scription tool in class, the study also incorporates the concept of cooperative learning jigsaw method, breaking down the teaching content into small chapters for each student to read aloud in English to the rest of the class every other week. In the eighteenth week of the course, qualitative research was conducted with eight students to deeply explore the changes in students' confidence in speaking English under the use of speaking aids and the arrangement of cooperative learning courses. The interview content was based on the Foreign Language Classroom Speaking Confi-dence (FLCSC) questionnaire, covering the following five areas: self-assessment of English-speaking ability, past English class experiences, classroom speaking anxiety, perception of the course teaching arrangement, and the effectiveness of the English-speaking aid. Student feedback indicated that the easy-to-use transcription tool and the engaging classroom design facilitated participation in discussions and information retrieval. The classroom design not only meets teach-ing objectives but also inspires students' thinking and desire for exploration in an inspiring way. Through appropriate challenges and interactions, students have shown enthusiasm and initiative in the learning process, with improvements in reflective abilities and confidence in English-speaking-. In the environment of technology-enhanced language learning, the results of this re-search show that students improve their confidence in speaking English. The research findings provide a valuable reference point for educators in English-speaking-related education. These findings can serve as a basis for subsequent teaching improvements and extensions, such as inte-grating meeting recording tools into English-speaking education.

The Implementation of The Analytical Hierarchy Process Method to Determine the Potential for Tourism Village Development

2023-12-27T15:35:05+00:00

The province of South Kalimantan currently lacks an information system capable of managing and mapping data related to tourism village potential in the region. However, if properly utilized, this data can offer valuable insights into the cultural and locally inspired tourist attractions in South Kalimantan. This research aims to develop a web-based decision support system that utilizes the Analytical Hierarchy Process (AHP) method to gather and map data on tourism villages, providing recommendations for tourism purposes. By integrating the AHP method into the decision support system, users can identify and choose potential areas with the capacity to be developed into regional tourist destinations in South Kalimantan. The accuracy of the system's calculations was validated by comparing them with manual calculations using the AHP method, yielding precise results. The top recommendation, with a weight value of 0.51, was Tiwingan Lama, followed by Loksado in second place with a weight value of 0.36, and Tiwingan Baru in third place with a weight value of 0.2. Utilizing the AHP method for suggesting tourism potentials can enhance the objectivity of the decision-making process, optimize the use of resources, and maximize the advantages for all stakeholders involved in the tourism sector.

Designing Mobile-Based Interactive Learning Media in MICE Courses

2023-12-29T12:22:55+00:00

The emergence of the MICE industry, which is multifaceted and involves various stakeholders, presents a novel opportunity for multiple parties to derive benefits. This reason has made the growth rate of MICE organizers appear, so it is undeniable that the MICE industry, as an industry today, requires a lot of skilled human resources. So, education for MICE courses must be conducted optimally to produce quality human resources through excellent learning. This study aims to design mobile-based interactive media applications for MICE courses. so that it can increase student interest in learning and improve the quality of learning. the application is designed using the Multimedia Development Life Cycle (MDLC) method. The design is carried out in six stages starting with concept, design, material collecting, assembly, testing and distribution. It is hoped that the development of this application can contribute to the creation of superior human resources for the MICE industry and have capabilities that are in line with industry needs.

Optimizing an Automatic Text Analysis Model with Generative Artificial Intelligence System for Gaming Strategic Behaviors

2024-05-21T14:12:08+00:00

ChatGPT, as an important system of Generative Artificial Intelligence (GenAI), has had a profound impact on various fields, and has the potential for processing textual dialogues regarding gaming behavior analysis. Therefore, this study aims to build an automatic text analysis model for gaming strategic behaviors by enhancing its objectivity and efficiency. Three stages of tests were conducted to optimize its function for achieving comprehensive understanding of using GenAI. Behavior coding with clear definition, gaming contexts, and analysis goals are all important factors. Through the analysis model, we can ensure the capability of the analysis accuracy. By using GenAI, researchers significantly reduce the time and cost associated with manual analysis that enables the process of large volumes of textual dialogue data.

I Can See Your Voice! Analyzing Public Opinions on Urban Issues in Thailand’s Khon Kaen Municipality Through Social Media

2024-05-29T10:05:49+00:00

This study investigates the role of social listening tools (SLTs) in local governance within Khon Kaen Municipality, Thailand, highlighting the interaction between digital discourse and urban management. Through the strategic deployment of SLTs on popular social media platforms such as Facebook, Twitter, and TikTok, the research examines public sentiments on urban issues, focusing on how these sentiments are expressed and can be leveraged to enhance governance. The study encompasses a period of data collection from March to April 2024, employing Mandala AI to analyze online mentions, hashtags, and engagement across diverse social platforms. The findings indicate that Facebook is the primary communication channel, with significant public interaction and engagement, followed by Twitter and TikTok, which cater to specific demographic groups and issues. The sentiment analysis reveals a pre-dominance of neutral tones, punctuated by notable instances of positive and negative senti-ments, particularly around local events and municipal issues. These insights are critical for policymakers, suggesting that real-time public feedback through SLTs can significantly in-form and improve urban planning and policy responsiveness. The research underscores the transformative potential of integrating digital tools in local governance, proposing a model for other municipalities to enhance engagement, transparency, and responsiveness to citizen needs.

Optimized Website Traffic Forecasting with Automatic Models and Optuna

2023-12-28T12:22:27+00:00

Although time-series forecasting has emerged as a key area of interest in recent years for analyzing historical data to make predictions about future trends, accurately forecasting web traffic can be challenging due to the dynamic nature of the internet and the many factors that can influence user behavior. Existing traffic flow prediction approaches primarily use simple models that are often inadequate for real-world applications. This research aims to develop an optimized machine learning model using FB-Prophet and NeuralProphet for forecasting website traffic and to compare their relative performance and effectiveness in predicting web traffic. This study aims to develop an optimized machine learning model using FB-Prophet and NeuralProphet for forecasting website traffic and to compare their performance in predicting web traffic. Our study found that both FB-Prophet and NeuralProphet models performed better than the simple models used in existing traffic flow prediction approaches. However, the NeuralProphet model outperformed FB-Prophet in terms of accuracy and computational efficiency. The best result obtained from the study was achieved by the NeuralProphet model, which had a Mean Average Error (MAE) of 25.61, Mean Square Error (MSE) of 1354, Root Mean Square Error (RMSE) of 5.060, and a Coefficient of Determination (R2) of 0.882, indicating its superior performance in accurately forecasting website traffic. The results suggest that an optimized machine learning model using NeuralProphet can be an effective way to forecast website traffic and help businesses and organizations better understand web traffic patterns.

Virtual Drum System Development using Motion Detection

2024-05-27T05:55:31+00:00

This paper proposes an innovative approach to overcome the spatial, cost, and mobility constraints of traditional drum playing. By combining the latest deep learning technolo- gies, YOLOv8 and the Pose Landmark model, we have developed a virtual drum system that precisely tracks the user’s movements in real-time, allowing drumming anywhere. This technology significantly enhances musical creativity and accessibility by providing an ex- perience similar to actual drumming without requiring expensive drum equipment. Further- more, this system minimizes geographical and economic constraints in music education and practice, offering educators and learners a flexible and effective way to learn music. This study explores the technical details of the virtual drum system and its potential impact on music education and performance, making a significant contribution to the future of digital music performance tools.

User Interface Modeling for Rental Information System Using a User-Centered Design

2023-12-27T15:00:59+00:00

Logik Filter is a business that focuses on technological creativity such as rental lighting, lighting installation services, multimedia, and art installations. Rentals at Lojik Filter can only be done via whatsapp or direct transaction. This type of transaction process requires many steps and con-sumes more time. This business requires a website to ease customers from various regions to rent equipment or order services. To develop this website, a user interface (UI) is needed that can meet user needs and make it easier for them to get information and make rentals. A user-centered design (UCD) approach is used to design a rental website UI according to the needs of customers and the business processes of Logik Filter. This research aims to design a rental website UI using UCD approach. UCD in this research is carried out in four stages: discovering requirements, designing alternative, prototyping, and evaluation. Usability testing in the evaluation stage uses a Single Ease Question (SEQ) metric. Based on the research conducted, the proposed UI model for this multimedia equipment rental information system meets the users’ needs. A SEQ value of 6,2 indicates that the UI design has a good level of usability and is easy to use. This UI design will be used in developing a rental information system.

IoT Based Smart Aquarium using NodeMCU

2023-12-29T09:39:48+00:00

Important aspects of aquarium fish maintenance include the timing of fish nutrition, the availability of water, the temperature of the water, and the monitoring of the aquarium's condition. This study aims to develop an IoT-based aquarium, also known as an internet of things aquarium, that is capable of automatically sending images via telegraph, feeding fish, setting the time that the light turns on, detecting the temperature and level of the aquarium water, and setting the time that the light turns off. A Smart Aquarium consists of an Arduino IDE, an ESP8266 Microcontroller, an ESP32 Cam, a Water Level Sensor, a Buzzer, a PIR Sensor, an RTC DS3231 Module, CP1202 Modules USB to TTL, a 12 Volt DC Fan, a Relay, a Lamp, an Adapter, an LCD, and a Motor Servo. Based on functional and unit testing, the functionality of this tool is satisfactory.

Algorithm Analysis of Association Rule Apriori to Determine the Prediction of Sasirangan Production Based on the Patterns of Sales Transactions

2024-03-25T05:05:05+00:00

The Sasirangan production house in Banjarmasin is one of the manufacturers of several cloth and convection of Sasirangan products. Based on a marketing perspective, the Sasirangan production house had difficulty in determining the number of products to be produced based on the type of cloth, color, and pattern of the Sasirangan cloth. This is very crucial in controlling the production of sasirangan, namely how much sasirangan production must be made with the type of cloth, color and pattern of sasirangan cloth and sold according to the interests of the majority of con-sumers. In business man-agement, namely in controlling sasirangan marketing, the administra-tive performers would like to have a clear understanding of the circulation of products sold ac-cording to the categories of shapes, types of fabrics, patterns, and colors that consumers prefer in terms of sales transactions. In a trading transaction, there must be a record, especially if the transaction is a massive transaction, a database is definitely needed to store the record, so that it can be used as information. The stored information must contain a hidden value that can be used as additional information where the information was not previously known. Data mining is a set of techniques that are used automatically to thoroughly explore and bring to the surface complex relations on very large data sets. The process of deciphering the discovery of knowledge in a database (in this case the data on sales transactions that occur at home) production of Sasirangan Banjarmasin) as is done in terms of seeing the relationship of the sales process of each transaction item variable above, is a concept called data mining. Data mining Algorithm Association Rule Apriori can both assist in grouping and classifying the sales process by providing a relationship between sales data made by customers so that customer purchasing patterns will be obtained as a form of more dominant consumer interest, allowing the Banjar-masin sasirangan production house to determine predictions of Sasirangan fabric production according to patterns consumer interest. The Banjarmasin sasirangan pro-duction house is expected to be able to determine pre-dictions of Sasirangan fabric production according to consumer demand patterns, as a form of marketing strategy that can be implemented by considering the production materials that must be prepared. In order to reduce production costs and maximize profits.

Development of Teaching Methods in Basic Nursing Education Using Process Flow Diagram

2024-05-28T13:43:43+00:00

New nurses must be able to take on multiple patients at the same time once employed, observe patient conditions and respond to patient complaints while determining priorities and resolving multiple issues as the same as experienced nurses. In the Japanese basic nursing education, how-ever, the only practical training in which multiple patients are assigned is the integration practice in the highest grade. In many cases, the pre-training exercises (pre-supervision) and post-training review (post-supervision) for effective integrated practice are left to the discretion of each edu-cational institution and each nursing faculty member in charge. To solve this problem, we devel-oped, implemented, and evaluated a simulation method for pre- and post-instruction using the Process Flow Diagram. This paper presents the specifics of these activities and explain how Pro-cess Flow Diagram was useful in this case study.

Early Diagnosis of Damage to Automatic Injection Motorcycles Using a Decision Tree Algorithm Based on Mobile Application

2023-12-28T07:41:09+00:00

Indonesia is the country with the most motorcycle users, where nearly a third of the population owns motorcycles. Automatic motorcycles are the most widely used type because of their agility and ability to save fuel. However, if there is sudden damage, it can hamper activity. In addition, most users do not know the cause of the damage they are experiencing. The purpose of this research is to develop a mobile-based application to help users of automatic injection motorcycles in diagnosing earlier the problems they are experiencing. All data related to damage and its solutions were obtained based on interviews with experts and conforming to existing theories. The research method used is to develop applications using the System Development Life Cycle (SDLC) and the artificial intelligence algorithm used is the Decision Tree. Decision Tree has become one of the popular algorithms for diagnosing damage to various systems and devices, including in this context for diagnosing damage to automatic injection motorcycles. This method is used because it is a key path for identifying damage that has rules. The Decision Tree is a technique of exploring data into a branch to produce a solution. The results of this study are that the application is fully functional, both from the user and admin side. In addition, through the application of the Decision Tree Algorithm with an accuracy rate of 100% without any discrepancies. Finally, we can also confirm that the application can be used by users to assist in solving damage problems by accommodating maintenance actions or also choosing repair services.

Impression Evaluation of Instructor Placement in Online Lecture Screen Displays

2024-05-25T15:56:51+00:00

This study investigated whether the instructor's placement with slides in video lecture displays affect the ease of viewing, interest, and understandability of the lecture. Results indicated that positioning the instructor in the same frame as the slides, overlapping them, was more highly evaluated than positioning them in a separate frame. Additionally, positioning the instructor on the right side of the slide was found to be easier to view than on the left side within the same frame. Moreover, within the same frame display, the display where the instructor overlapped the slides, offering a more natural way, was more likely to be interesting than one where the back-ground of the instructor is the classroom scene and the instructor is positioned seamlessly alongside the slide.

Proposal of Food Design Methods in the Age of Recipe 3.0

2024-06-13T06:33:39+00:00

This paper will investigate the integration of artificial intelligence (AI) into the creative process of recipe creation by the average consumer and its potential to improve everyday life through personalized cooking and nutrition science. By engaging food and nutrition students in a practical experiment to generate recipes using a language understanding model (LLM), we will assess the feasibility and user impact of Recipe 3.0, a model that democratizes culinary knowledge and promotes innovative culinary activities. certain limitations, such as the lack of taste experience in AI. Nevertheless, the results demonstrate the important role of AI in assisting with recipe creation and suggest a possibility of creating dishes through a creative process while incorporating essential requirements and considerations.

An Attempt at Peer Learning with Explanation in Introductory Programming Education

2023-12-26T04:00:21+00:00

This paper introduces "Peer Learning with Explanation" (PLE), an innovative approach in introductory programming education, inspired by pair programming. PLE is a collaborative learning strategy where students work in pairs to solve programming tasks, with one student explaining their reasoning and methods to their partner. This approach aims to deepen understanding and enhance learning outcomes through the sharing of ideas and feedback. A key feature of PLE is its structured method for addressing exercise problems, clearly outlining the steps involved, what actions to take, what to explain, and what to discuss. This structured approach ensures that students are focused on their learning goals, thereby improving their comprehension and problem-solving abilities. The study, conducted with first-year students at the Kanagawa Institute of Technology, Department of Information Media, investigated the effectiveness of PLE compared to traditional solo programming methods. Results indicated that students engaged in PLE demonstrated a better grasp of programming concepts and skills. PLE encourages students to articulate their thought processes and problem-solving strategies, leading to a more profound understanding and retention of programming knowledge. It is also expected to foster improved communication and collaboration skills, which are essential in the programming field. The findings suggest that PLE can be a valuable tool in programming education, significantly contributing to students' learning experiences and outcomes.

An Prototype: Mobile based Fire Extinguisher Count Requirement System

2023-12-29T06:30:37+00:00

It is possible to make an effort to meet active fire protection standards by having fire extinguishers available, which refer to the rules for the number of requirements and placement of fire extinguishers in each building. These rules can be found in the active fire protection standards document. Formulas are used in accordance with the Regulation of the Minister of Manpower and Transmigration No. Per.04 / MEN / 1980 in order to determine how many fire extinguishers are required for a given location. Currently, the problem that occurs is that there are still many buildings that have not met active fire protection standards such as not matching the number of fire extinguisher needs and their placement in a building. Data collection is carried out with two approaches to qualitative and quantitative methods. It was found that the prototype of the system that was built can be understood by users very well, and that the level of usability has met good results based on the SUS method. These findings were based on the findings of tests that evaluated the system's effectiveness and efficiency. It is anticipated that this prototype system will contribute to efforts in active fire protection.

Effectiveness of Pitch Discrimination Practice Using a Method of Listening for Pitch in a Learner's Own Voice Quality

2024-05-28T08:24:59+00:00

In order to sing in tune, it is necessary to hear a modeled pitch correctly. However, differences in audibility of pitches may arise depending on different sound sources used as exemplars. Previous studies have reported that when one's own familiar voice is used as a model voice, one is able to sing pitches correctly. In this study, we examined whether learners who were unable to distin-guish pitches fromvoices of others would be able to judge the difference in pitches by using their own voice quality as a model voice. The results showed that learners who could not distinguish all pitches from voices of others were able to distinguish all of them correctly with their own voice quality.We think that difference in vocal range and other factors may have contributed to difficulty in hearing when the model sound was from a voice of another person. When the model was their own voice, all they had to focus on was changes in pitch, making it easier for them to notice differences.

An Integrated Self-Determination Theory and Theory of Planned Behavior towards Utilize Technology

2023-12-28T04:24:25+00:00

Smart City is closely related to technological innovation and application. This study will analyze the individual motivation for WiFi Trash Bin in Taman Edukasi Baiman Banjarmasin, which is directly related. The purpose of this study is to describe the motivation of individuals by integrating the Self-Determination Theory (SDT) and the Theory of Planned Behavior (TPB). The method technique employed for analysis is PLS-SEM, with a sample size of 100 respondents (10% significance). Individual motivation is characterized by integrating the SDT and TPB models with the variables Intrinsic Motivation (MI), Extrinsic Motivation (ME), Subjective Norm (NS), Perceived Behavior Control (KPD), Attitude Toward Behavior (PP), Socio-Demographics (SD), Environmental Awareness (KL), and Motivation Using (MM). According to research, motivated individuals utilize WiFi Trash Bin when they are intrigued and confident in the positive outcomes resulting from internal motivation, but are unaffected by external motivation. In addition, it was discovered that an individual's intrinsic motivation is influenced by social pressure, interest, belief in the outcomes obtained, and environmental concern. As for external motivation, only sentiments of social pressure and concern for the environment influence it.

A Survey of Middle and Upper Elementary School Students’ Knowledge of Cloud Computing

2023-12-31T23:32:20+00:00

In this study, a questionnaire was administered to middle and upper elementary school students to evaluate their cloud computing knowledge to obtain suggestions for instructional strategies to understand and promote the utilization of cloud computing. Pictures and sentences explaining cloud computing were evaluated based on the evaluation criteria developed from the points of view proposed by Mitsui et al. As a result, we found that some viewpoints were easy to understand, and some were difficult to understand. Overall, we found that the general level of cloud computing knowledge acquisition was low. In addition, the upper grades were not necessarily more proficient, and there were differences between classes. In addition, we analyzed the relationship between the students’ cloud computing knowledge and the teacher’s experience. As a result, students whose homeroom teachers had limited experience and students whose homeroom teachers had extensive experience teaching students to utilize one-to-one devices were more likely to have acquired knowledge of cloud computing.