Integrating Gamification Elements into a Personalized Cognitive Mobile-Learning LINE Bot

Author:

Cheng-Hsiu Li

Abstract

In recent years, chatbots gains widespread popularity across various industries, and LINE becomes an indispensable and widely utilized application. Human beings acquire knowledge through cognitive learning. Asynchronous digital drills and practice learning systems that require students to practice questions repeatedly can bore students and lack online monitoring by a teacher. In this study, the cognitive mobile-learning LINE bot provides digital drill and practice learning functions, enabling students to read questions and their answers from a Q&A database, take a postlearning self-test on these questions, and practice questions they originally answered incorrectly. Moreover, learners can ask open-ended questions. The LINE bot is used to substitute for a teacher in one-on-one synchronous interactive learning, and the post-hoc analyses of the interactions between the LINE bot and each student are performed and provided to teachers on time, enabling them to offer counseling and assistance as appropriate.

Publisher

Taiwan Association of Engineering and Technology Innovation

Reference30 articles.

1. M. Yuen, “Chatbot Market in 2022: Stats, Trends, and Companies in the Growing AI Chatbot Industry,” https://www.insiderintelligence.com/insights/chatbot-market-stats-trends/, April 15, 2022.

2. Taiwan Network Information Center, “The 2020 Taiwan Internet Report,” https://www.twnic.tw/doc/twrp/202012e.pdf, December 10, 2020.

3. Digital Times, “The 2018 Global Internet Usage Survey: Philippines Tops, Japan at the Bottom,” https://www.bnext.com.tw/article/52231/how-much-time-people-spend-on-surfing-the-internet-in-2018, February 15, 2019.

4. Key Opinion Leader (KOL) Media Group, “2022 Taiwan Internet Usage Report,” https://www.thenewslens.com/article/163977, March 14, 2022.

5. S. X. Huang, “Leveraging Line Bot Chat Bot for Enhancing Novice Python Learning Effectiveness,” Master's Thesis, Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung County, 2023.

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