Title: Roles, strategies, and research issues of generative AI in the mobile learning era

Authors: Chiu-Lin Lai; Yun-Fang Tu

Addresses: Department of Education, National Taipei University of Education, #134, Sec. 2, Heping E. Rd., Taipei 106, Taiwan ' Department of Educational Technology, Wenzhou University, Chashan University Town, Wenzhou City, Zhejiang Province, 325035, China

Abstract: The emergence of generative AI (GAI) offers students an opportunity to experience learning interaction similar to that with real humans. This technology enables students to communicate with AI in natural language; GAI can also generate content more aligned with students' needs. Notably, in the context of mobile learning, students will have more opportunities to interact with GAI. Therefore, exploring the role of GAI in the mobile learning environment and the possible combination with learning strategies is an important topic. In this position paper, we discuss this topic from the perspective of academic research and educational objectives. We also discuss the transformation of students' roles in various educational objectives. Furthermore, this study explores potential research and educational issues, including integrating learning strategies, discussing student learning performance, integrating with other software and hardware, student interaction with GAI, and the issue of the right to learn GAI.

Keywords: artificial intelligence; AI; generative artificial intelligence; GAI; mobile learning; Bloom's taxonomy; ChatGPT; intelligent tutoring system.

DOI: 10.1504/IJMLO.2024.141836

International Journal of Mobile Learning and Organisation, 2024 Vol.18 No.4, pp.516 - 537

Received: 23 May 2023
Accepted: 25 Jun 2023
Published online: 02 Oct 2024 *

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