Enhancing Moodle Insights
Leveraging Time Tracking Data Beyond Access Counts
DOI:
https://doi.org/10.52731/lir.v004.288Keywords:
Moodle, Time tracking data, IntelliBoard, Learning analytics, Teaching analytics, faculty developmentAbstract
Moodle access logs have been widely used in learning analytics and institutional research to analyze educational activities. However, previous research primarily focused on accessing count data, overlooking the potential of leveraging the time-tracking data made possible by the addi-tion of IntelliBoard functionality to Moodle. This study explores novel applications of Moodle's time-tracking data. Specifically, we examined the relationship between access count and learn-ing time data, as well as the analytical possibilities of these datasets, in the context of a faculty development (FD) training course for newly hired instructors. The results suggest that incorpo-rating time-tracking data enables a more detailed analysis of learner behavior, presenting op-portunities to inform effective instructional design. This study proposes new methods of utilizing Moodle’s time-tracking data to complement the established use of access-count data in learning analytics and institutional research.
References
T. Ohkawauchi, and E. Tanaka, “Predicting Student Dropout Risk Using LMS Logs,” IIAI Letters on Institutional Research, vol. 4, 2024, pp.1-8.
M. Oi, F. Okubo, A. Shimada, C. Yin, and H. Ogata, “Analysis of Preview and Review Pat-terns in Undergraduates’ e-Book Logs,” Proceedings of the 23rd International Conference on Computers in Education, 2015, pp.166-171.
Y. Kobayashi, “Analyzing LMS Log in a Liberal Arts Course,” Bulletin of Institute for Ed-ucation and Student Services, Okayama University, 2017, pp. 57-64.
N. Kadoić, and D. Oreški, “Analysis of Student Behavior and Success Based on Logs in Moodle,” 2018 41st International Convention on Information and Communication Tech-nology, Electronics and Microelectronics (MIPRO), 2018, pp. 654-659.
Y. Asada, H. Okazaki, N. Sata, H. Kawahira, S. Yamamoto, and Y. Matsuyama, “The Learning Analytics and Institutional Research Based on the Usage of Moodle After COVID-19 Pandemic,” 2021 9th IIAI International Congress on Advanced Applied Infor-matics (IIAI-AAI), 2021, pp. 295-298.
Y. Asada, and M.S. Yagi, “Moodle for Learning Analytics and Institutional Research: Exporting Data via SQLs and Plugins,” International Journal of Institutional Research and Management, vol. 4, no.2, 2020, pp. 30-43.
IntelliBoard Inc, IntelliBoard Learning Analytics Platform| Insights from Your Data; https://intelliboard.net/ (accessed 14th April 2024).
B. Maraza-Quispe, O. M. Alejandro-Oviedo, W. Choquehuanca-Quispe, N. Caytuiro-Silva, and J. Herrera-Quispe, “Towards a Standardization of Learning Behavior Indicators in Vir-tual Environments,” JACSA, vol. 11, no.11, 2020.
StatCounter Global Stats, Operating System Market Share Japan; https://gs.statcounter. com/os-market-share/all/japan/#monthly-202403-202403-bar (accessed 14th April 2024).