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Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
Chih-Chang Yu; Leon Yufeng Wu – Educational Technology & Society, 2024
This study presents a new blended learning model that combines a computer-assisted learning system called Cognitive Apprenticeship Programming Learning System (CAPLS) with instructor co-teaching in an introductory programming course. CAPLS, as its unique aspect, functions as a master in cognitive apprenticeship, guiding learners throughout their…
Descriptors: Programming, Computer Science Education, College Entrance Examinations, Mathematics Tests
Chang, Yu-shan – Australasian Journal of Educational Technology, 2019
The purpose of this study was to investigate the predictability of cloud-based m-learning for creative performance, and the mediating effect of motivation. The participants were 116 college students, who participated in the pre-test and post-test of a teaching experiment. The conclusions of this study are as follows: (1) cloud-based m-learning has…
Descriptors: Computer Software, Creativity, Student Motivation, Telecommunications
Chou, Chi-ting – Taiwan Journal of TESOL, 2013
This study investigates the effectiveness of applying Readers' Theater as remedial instruction for underachieving students. The participants of the study are 49 underachieving Freshman English students. The experimental group was taught using Readers' Theater as remedial instruction, and the control group received regular remedial instruction. The…
Descriptors: Foreign Countries, Theater Arts, Instructional Effectiveness, Teaching Methods