Year: 2024
Type: article
Abstract: 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.
Authors: 小林, 雄志, 35475, Kobayashi, Yuji, 50549491, 55607888800, 0000-0003-2244-7391, 100001662, 宮浦, 崇, 35616, Miyaura, Takashi, 30509295, 100000584
Institutions: Kyushu Institute of Technology, Digital Hollywood University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W6981551702
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