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A Person-Centered Approach to Teacher Motivation towards Information Technology: Integrating Achievement Goal and Expectancy-Value Perspectives
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Xu, Jianzhong – Educational Technology Research and Development, 2022
The aim of our investigation is to identify teacher motivation profiles towards information technology, according to achievement goal and expectancy-value theories. Latent profile analysis (LPA) was applied to examine if homogenous latent profiles exist within a sample of 866 teachers in China. Four distinct profiles of teachers were identified:…
Descriptors: Teacher Motivation, Educational Technology, Technology Uses in Education, Goal Orientation
Exploring Students' Behavioral Patterns When Playing Educational Games with Learning Supports at Different Timings
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Yang, Xiaotong; Rahimi, Seyedahmad; Fulwider, Curt; Smith, Ginny; Shute, Valerie – Educational Technology Research and Development, 2022
The current study investigated students' gameplay behavioral patterns as a function of in-game learning supports delivery timing when played a computer-based physics game. Our sample included 134 secondary students (M = 14.40, SD = .90) from all over the United States, who were randomly assigned into three conditions: receiving instructional…
Descriptors: Student Behavior, Educational Games, Game Based Learning, Problem Solving
Task Complexity Affects Temporal Characteristics of Self-Regulated Learning Behaviours in an Intelligent Tutoring System
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Wang, Tingting; Li, Shan; Huang, Xiaoshan; Lajoie, Susanne P. – Educational Technology Research and Development, 2023
This study examined how task complexity affected the temporal characteristics of self-regulated learning (SRL) behaviours in clinical reasoning. Eight-eight (N = 88) medical students participated in this study. They were required to diagnose two virtual patients of varying complexity in BioWorld, an intelligent tutoring system (ITS) designed to…
Descriptors: Medical Students, Difficulty Level, Independent Study, Student Behavior
An Examination of Personality Traits as a Predictor of the Use of Self-Regulated Learning Strategies and Considerations for Online Instruction
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Bruso, Jacqueline; Stefaniak, Jill; Bol, Linda – Educational Technology Research and Development, 2020
Each learner brings a unique mix of personality traits, preferences, and talents to the educational setting. These factors can influence the extent to which learners are able to effectively deploy skills and strategies to achieve their academic goals. Gaining a deeper awareness of how specific personality traits play a role in the choice and…
Descriptors: Personality Traits, Predictor Variables, Self Management, Learning Strategies
Factors Influencing University Teachers' Use of a Mobile Technology-Enhanced Teaching (MTT) Platform
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Tang, Kai-Yu; Hsiao, Chun-Hua; Tu, Yun-Fang; Hwang, Gwo-Jen; Wang, Youmei – Educational Technology Research and Development, 2021
The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Telecommunications
The Effects of Computer-Supported Self-Regulation in Science Inquiry on Learning Outcomes, Learning Processes, and Self-Efficacy
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Lai, Chiu-Lin; Hwang, Gwo-Jen; Tu, Yi-Hsuan – Educational Technology Research and Development, 2018
Recently, researchers have demonstrated the benefits of technology-enhanced science inquiry activities. To improve students' self-regulation and assist them in controlling their own learning pace through inquiry activities, in this study, a self-regulated science inquiry approach was developed to assist them in organizing information from their…
Descriptors: Science Instruction, Inquiry, Outcomes of Education, Learning Processes