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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
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Kingir, Sevgi; Gok, Bilge; Bozkir, Ahmet Selman – Journal of Baltic Science Education, 2020
Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…
Descriptors: Data Analysis, Preservice Teachers, Science Teachers, Motivation
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Akdag, Emine; Köksal, Mustafa Serdar – Science Education International, 2022
The purpose of this research was to examine relationship between the eighth-grade gifted students' perceptions of science learning environment constructive learning environment perception (CLEP) and their motivations motivation to learn science (MLS) to learn science with their intellectual risk-taking (IRT) and science achievement (SA). For this…
Descriptors: Gifted, Gifted Education, Student Motivation, Learning Motivation
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Lodewyk, Ken R.; Bracco, Elizabeth – ICHPER-SD Journal of Research, 2018
Two weeks into a new academic school year, a physical education (PE) class of 25 grade nine girls completed a survey relative to their previous PE experiences. Following the completion of a six-lesson territorial games unit using the six-step teaching game for understanding (TGfU) model taught by a guest certified female teacher with TGfU…
Descriptors: Adolescents, Females, Educational Games, Physical Education