Title: An automated self-regulation advising mechanism in mobile learning environment to promote students' learning achievement, self-regulated awareness and approaches to science learning

Authors: You-Hong Su; Shu-Yun Chien

Addresses: Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan ' Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan

Abstract: Mobile learning is a learner-centred mode, where students receive learning content from various sources without being limited by location or time. Self-regulated learning is crucial in mobile learning, as students have to take charge of their own learning by choosing what, when, where and how to learn. However, it can be challenging for students to regulate their learning effectively without guidance or support. Therefore, an automated self-regulation advising mechanism is proposed and implemented in a mobile learning environment to provide personalised advice and support to students in their learning process. An experiment was conducted to evaluate the effectiveness of the proposed approach. The participants were 46 eighth graders from two classes of a junior high school in Taiwan. The experimental results show that the proposed approach promoted the students' learning achievements, time management dimension of self-regulated awareness, and surface motivation of approaches to science learning.

Keywords: automated advice; mobile learning; self-regulated learning; SRL; science learning.

DOI: 10.1504/IJMLO.2024.141820

International Journal of Mobile Learning and Organisation, 2024 Vol.18 No.4, pp.496 - 515

Received: 13 Feb 2023
Accepted: 13 Apr 2023
Published online: 02 Oct 2024 *

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