Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

Research shows that expert-crafted worked examples can have a positive effect on student performance. To investigate the potential for data-driven worked examples to achieve similar results, we generated worked examples for the Deep Thought logic tutor, and conducted an experiment to assess their impact on performance. Students who received data-driven worked examples were much more likely to complete the tutor, and completed the tutor in less time. This study demonstrates that worked examples, automatically generated from student data, can be used to improve student learning in tutoring systems.

• Type: Journal
• Year: 2015
• Where: AIED
• Authors: Behrooz Mostafavi, Guojing Zhou, Collin Lynch, Min Chi, Tiffany Barnes
• Keywords: AIED 2015, Artificial Intelligence