Related Experiment Video
Updated: Nov 7, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
Published on: June 10, 2021
Using learning management software data to compare students' actual and self-reported viewing of video lectures
JoAnna M Scott1, Brenda S Bohaty2,3, Cynthia C Gadbury-Amyot4
1Office of Research and Graduate Program, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, USA.
Dental students often overestimate their video viewing time when self-reporting. Learning management systems (LMS) offer more accurate data on student engagement with course videos, revealing discrepancies in viewing habits.
Area of Science:
- Dental Education
- Educational Technology
- Student Engagement Metrics
Background:
- Traditional student engagement assessment relies on class attendance and questionnaires.
- Learning Management Systems (LMS) offer objective data for evaluating student performance.
- Accurate measurement of student engagement with digital learning resources is crucial.
Purpose of the Study:
- To compare dental students' self-reported course video viewing with objective data from an LMS.
- To identify discrepancies between perceived and actual student engagement with video content.
- To evaluate the reliability of self-reported data versus LMS analytics in dental education.
Main Methods:
- A questionnaire captured self-reported video viewing habits from dental students post-course.
- Student viewing data and time spent on videos were extracted from the LMS.
- McNemar's test was employed to analyze differences between self-reported and LMS data.
Main Results:
- Significant differences were observed between self-reported and LMS data regarding video watch percentage, re-watch frequency, and viewing times (p < 0.001).
- While 71% of students self-reported watching over half the videos, LMS data showed only 40% did.
- LMS data revealed 13% of students did not watch any videos, a finding not captured by self-reporting.
Conclusions:
- LMS technology provides a more accurate method for tracking student study habits than self-reporting.
- Students tend to overestimate their video engagement time when relying on self-assessment.
- Objective LMS data is essential for a precise understanding of student interaction with online learning materials.
More Related Videos
12:55Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Surveys
Self-Presentation: Self-Monitoring and Self-Handicapping
Cognitive Learning
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Metacognition
Comparing Experimental Results: Student's t-Test