Exploring High School Students' Transition from Traditional Search Engines to ChatGPT for Course Learning: A Push-Pull-Mooring Model Perspective

Authors

  • Chien-Liang LIN Ming Chuan University Author
  • Chih-Yu YANG Ming Chuan University Author
  • Pei-Chi WU Ming Chuan University Author
  • Yu-Cheng LIN Ming Chuan University Author
  • Chi-Heng LI National Taiwan University of Science and Technology Author

DOI:

https://doi.org/10.58459/icce.2024.5059

Abstract

This study explores the shift in behavior among high school students from traditional search engines to ChatGPT for learning support, using the Push-Pull- Mooring (PPM) model. Push factors include habit inertia, which may inhibit students from adopting new technologies. Pull factors, such as system and information quality, attract students to ChatGPT due to its efficiency and accuracy. Mooring factors, like switching costs, influence the transition. Al literacy is considered as a moderating variable. The research aims to identify key factors affecting students' switching behavior and the impact of Al literacy on this transition.

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Published

2024-11-25

How to Cite

Exploring High School Students’ Transition from Traditional Search Engines to ChatGPT for Course Learning: A Push-Pull-Mooring Model Perspective. (2024). International Conference on Computers in Education. https://doi.org/10.58459/icce.2024.5059