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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
Kahyaoglu, Mustafa; Çetin, Ali – Online Submission, 2017
The purpose of this study is to investigate the effects of interactive boards applications supported by computer simulations on pre-service science teachers' self-regulated learning. Quasi-experimental research with pre test/post test control group design was used in the study. Pre-service science teachers in Siirt University, education faculty,…
Descriptors: Preservice Teachers, Science Teachers, Metacognition, Comparative Analysis
Harris, Sandra M.; Edmundson, Larry B.; Jacobson, Rebecca – Online Submission, 2006
This study investigated the construct validity of an online version of the Motivated Strategies for Learning Questionnaire (MSLQ) for use with community college students. The MSLQ which is an 81-item, self-report inventory which consists of 2 sections and 15 scales that assesses college students' motivational orientations and learning strategies.…
Descriptors: College Students, Learning Strategies, Construct Validity, Community Colleges