Exploring Learner’s Satisfaction and Adopting Intention toward Task-Technology-Fit Theory in Gesture-based Learning System for Computer Assisted Circuit Learning

Abstract

Gesture-based learning with Kinect will increase the learning activities performance by adding simulation interaction and situational action element. The aim of this paper is to develop a gesture-based learning system, allowing users to use skeletal tracking to capture the body movements, enabling learners to control and interact with the computer without any intermediary controller while learning circuit course, and adopting Task-Technology-Fit theory to explore and discuss the learner's satisfaction and intention. Based on 30 valid samples and data analysis, this paper found that learners' awareness, task characteristic, technology characteristic and personal characteristic were highly related to task-technology fit. Furthermore, task-technology fit also significantly affected learner's satisfaction and their adopting intention of the gesture-based learning system.



Author Information
Ci Yuan Ni, Far East University, Taiwan

Paper Information
Conference: ACTC2013
Stream: Technology in the Classroom

This paper is part of the ACTC2013 Conference Proceedings (View)
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