Investigating learning processes through analysis of navigation behavior using log files.

Area of Science:

• Educational Technology
• Learning Analytics
• Process Mining

Background:

• Monitoring and evaluation of learning processes are crucial for effective education.
• Computer-based learning environments (CBLEs) generate valuable log data.
• Understanding student behavior within CBLEs can optimize learning.

Purpose of the Study:

• To investigate the contribution of log files and process mining to successful learning.
• To demonstrate the implementation of learning process monitoring and evaluation.
• To determine the extent to which log file analysis and process mining predict learning outcomes.

Main Methods:

• Empirical study analyzing log file and questionnaire data from 58 students using a CBLE.
• Application of process mining techniques to understand navigation behavior.
• Cluster analysis to identify groups with differing learning outcomes and navigation patterns.

Main Results:

• Significant learning increase observed after using the CBLE (p < .001, g = 1.71).
• Two distinct student groups identified with significantly different learning outcomes and navigation patterns.
• Time spent on relevant pages and interactivity are key indicators of Recall and Transfer performance.

Conclusions:

• Navigation behaviors within CBLEs significantly impact learning outcomes, indicating both beneficial and detrimental processes.
• Log file analysis and process mining offer a practical approach for learners and instructors.
• Tracking time spent and interactivity in CBLEs can effectively promote successful learning.