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Hong, Jon-Chao; Hwang, Ming-Yueh; Hsu, Hui-Ting; Tai, Kai-Hsin – Journal of Research on Technology in Education, 2023
Gestalt perception relates to inferring a holistic scene from separate elements. Using this theory, an application game named Gestalt Puzzle was designed for students to play by recognizing a few parts of an image to reason the whole image of a particular object. Cognitive style can be divided into field independence (FI) and field dependence (FD)…
Descriptors: Game Based Learning, Self Efficacy, Anxiety, Cognitive Style
Karchmer-Klein, Rachel; Konishi, Haruka – Journal of Research on Technology in Education, 2023
Research indicates educators benefit from developing Technological Pedagogical Content Knowledge (TPACK), a combination of constructs that inform the design of pedagogically-sound technology-integrated instruction. Applying a mixed-methods explanatory sequential study design, we examined if and how novice K-12 teachers, who developed TPACK during…
Descriptors: Beginning Teachers, Pedagogical Content Knowledge, Technological Literacy, Technology Integration
Chiu, Thomas K. F. – Journal of Research on Technology in Education, 2022
During school closures forced by the COVID-19 pandemic, remote/online learning has been adopted to help students continue to learn. Student engagement, which is energized by motivation as explained by self-determination theory (SDT), is a prerequisite for learning. Therefore, this study investigated how the three perceived psychological needs in…
Descriptors: Self Determination, Student Participation, COVID-19, Pandemics
Ifenthaler, Dirk; Schweinbenz, Volker – Journal of Research on Technology in Education, 2016
In recent years digital technologies, such as tablet personal computers (TPCs), have become an integral part of a school's infrastructure and are seen as a promising way to facilitate students' learning processes. This study empirically tested a theoretical model derived from the technology acceptance model containing key constructs developed in…
Descriptors: Foreign Countries, Middle School Students, Student Attitudes, Computer Attitudes
Hughes, Joan E.; Read, Michelle F.; Jones, Sara; Mahometa, Michael – Journal of Research on Technology in Education, 2015
This study used multiple regression to identify predictors of middle school students' Web 2.0 activities out of school, a construct composed of 15 technology activities. Three middle schools participated, where sixth- and seventh-grade students completed a questionnaire. Independent predictor variables included three demographic and five computer…
Descriptors: Multiple Regression Analysis, Predictor Variables, Middle School Students, Web 2.0 Technologies