Research Article
Predicting Teaching Effectiveness Base on Technology Integrated Language Learning
@INPROCEEDINGS{10.1007/978-3-031-55976-1_12, author={Wan-Chi Yang and Yi-Ti Lin and Po-Li Chen and Huan-Chao Keh}, title={Predicting Teaching Effectiveness Base on Technology Integrated Language Learning}, proceedings={Smart Grid and Internet of Things. 7th EAI International Conference, SGIoT 2023, TaiChung, Taiwan, November 18-19, 2023, Proceedings}, proceedings_a={SGIOT}, year={2024}, month={3}, keywords={Teaching Effectiveness Information Communication Technology Integration Instant Response Systems}, doi={10.1007/978-3-031-55976-1_12} }- Wan-Chi Yang
Yi-Ti Lin
Po-Li Chen
Huan-Chao Keh
Year: 2024
Predicting Teaching Effectiveness Base on Technology Integrated Language Learning
SGIOT
Springer
DOI: 10.1007/978-3-031-55976-1_12
Abstract
This research explores the link between English teachers’ acceptance of Instant Response Systems (IRSs) and their perceived teaching effectiveness. The study involved 151 English teachers who completed an online survey and participated in semi-structured interviews about their IRS acceptance and perceived teaching effectiveness. The findings reveal that teaching effectiveness is positively influenced by constructivist pedagogical beliefs, attitude toward IRS use, perceived IRS usefulness, and facilitating conditions. The integration of IRS-based tools has demonstrated benefits such as increased student motivation, engagement, and achievement. These tools also invigorate classroom dynamics and provide timely feedback, thereby enhancing teachers’ ability to assess student learning progress.
