2024 ASEE Annual Conference & Exposition

IDEAL Creative Biomechanics Project and the Impact on Students’ Engagement (Phase III)

Presented at Biomedical Engineering Division (BED) Technical Session 1

Purpose: Gamification has been shown to improve students’ learning and improve their motivation. We previously implemented Phases I & II of the Interactive Digital Experience as an Alternative Lab (IDEAL) to simulate a real-world scenario. IDEAL uses a gamified structure to automate student-led evidence collection as the lead detective in a fictional storyline. The implementation of IDEAL resulted in students’ creative participation and improved the performance on their final reports. Over the past 2 years, we have improved the storyline by including day-before videos, images of the crime scene, as well as audio files of the witness interviews (to supplement the video files). We have also included more hints and feedback on user input throughout the investigation process. In Phase III, we tested the hypothesis that there would be improved learning of the core course concepts through increased engagement with the challenge.

Methods: We evaluated students’ engagement with the forensic biomechanics challenge through thematic coding of their investigation reports. We classified blurbs from students’ reports based on Fredricks conceptual frameworks of engagement into 3 categories: emotional, behavioral, and cognitive engagement. The engagement score, obtained through coding, for each student was then compared to their grades on this challenge problem.

Results: There is a strong correlation between students’ engagement and their grades, with cognitive engagement showing the most significant correlation. Overall higher engagement translated into higher grades on his particular activity. The use of the thematically coded reports as means of assessing students’ engagement with the activity was verified by investigating students’ actual behavior while working on this problem (progress codes and Kaltura metadata). A strong correlation was observed between emotional and behavioural engagement data from the coded reports as well as their access pattern.

Conclusion: The results of this project continue to show that the forensic biomechanics challenge problem using the IDEAL framework improves students’ learning through increased engagement.

Authors
  1. Dr. Michele J. Grimm State University of New York at Albany [biography]
  2. Dr. Roza Vaez Ghaemi University of British Columbia, Vancouver [biography]
  3. Dr. Elizabeth Mays University of Michigan [biography]
Download paper (2.17 MB)

Are you a researcher? Would you like to cite this paper? Visit the ASEE document repository at peer.asee.org for more tools and easy citations.