The Effect of Computer-Based Teaching Methods on Students’ Learning Motivation in Chinese Primary School (76023)

Session Information:

Thursday, 23 November 2023 16:15
Session: Undergraduate Poster Session (AURS)
Room: Room 701
Presentation Type: Poster Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This paper proposes a re-examination of teaching methods and how early childhood education programs can help promote motivation among primary school students. A suggestion put forth in this paper is to integrate computers into classroom, since multimedia offers an interactive component that frees students from passive acceptance of knowledge, thereby empowering them to act as learners, breaking the traditional teaching method that only imparts knowledge to students. The purpose of this paper is to explore how computers challenge traditional teaching methods in Chinese primary schools by using literature-based research method. This paper reviews three strengths in which computer-based teaching methods affects students’ motivation. Firstly, multimedia resources present knowledge in different ways, which not only clarifies complex concepts but also promotes content memory, thereby improving their learning motivation. Secondly, as a medium, computers can shorten the distance between people and make them more cohesive (Garrison and Vaughan, 2008). Therefore, they can supervise each other online and provide timely feedback and help, thus increasing enthusiasm towards learning. Finally, computers provide unlimited learning resources and provide students with more educational assets. Students can easily discover their own learning interests through computers, hence, boosting their learning motivation. The reason why learning motivation is important is that it is a type of internal driving force of people, which can provide students with lasting motivation, help them achieve academic success, and will affect their life. The paper concluded by making limitations of computer-based teaching methods to reflect on its effectiveness.

Authors:
Hao Fei, University College London, United Kingdom


About the Presenter(s)
Ms Hao Fei is a University Undergraduate Student at University College London in United Kingdom

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00