Design and Implementation of a Gesture-Aided E-Learning Platform

Area of Science:

• Educational Technology
• Human-Computer Interaction
• Cognitive Science

Background:

• Gesture-aided learning (GAL) enhances learning through embodied cognition but is underutilized in e-learning.
• Existing e-learning platforms lack integrated gesture-based learning functionalities.

Purpose of the Study:

• To present a generic system design for an online gesture-aided learning platform.
• To enable remote GAL lessons for planning, administration, and monitoring.
• To validate the system design through a reference implementation and field test.

Main Methods:

• Developed a five-module system for online GAL: planning, administering, and monitoring.
• Created a reference implementation for word learning.
• Conducted a field test with 19 participants using webcam monitoring for gesture accuracy.

Main Results:

• The reference implementation successfully delivered an e-learning experience incorporating GAL elements.
• Participants rated their experience positively, indicating system usability.
• Webcam feeds effectively monitored gesture execution for instructor review.

Conclusions:

• The proposed system design provides a viable framework for integrating GAL into e-learning platforms.
• The platform can be adopted by e-learning designers to enhance educational experiences.
• The system also serves as a tool for collecting and annotating gesture data for research.