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Darban, Mehdi – Journal of Research on Technology in Education, 2022
This study explores the factors that contribute to shared leadership and its association with knowledge acquisition in virtual teams. Through the proposed multilevel model, we examined team empowerment at the team level and perceived virtuality at the individual level as the predictors of a team member's perceived shared leadership, which then…
Descriptors: Electronic Learning, Cooperative Learning, Participative Decision Making, Group Dynamics
Wu, Wen-Chi Vivian; Manabe, Kinnosuke; Marek, Michael W.; Shu, Yu – Journal of Research on Technology in Education, 2023
This study aimed to foster development of the 21st-century five core competencies, including Creativity and innovation, Critical thinking and problem solving, Communication, Collaboration, and Computer-information literacy using Student-Centered Active Learning in an instructional design in which student groups created their own virtual reality…
Descriptors: 21st Century Skills, Computer Simulation, Creativity, Innovation
Moon, Jung Aa; Brockway, Debra – Journal of Research on Technology in Education, 2019
The current study investigated how a guidance method that segments a complex task into simpler subtasks affects adults' inquiry-based learning in a science simulation environment. In a multivariate inquiry task, participants were asked to investigate the effects of all variables in one round of inquiry. In another group, participants were guided…
Descriptors: Active Learning, Inquiry, Cognitive Processes, Difficulty Level
Kallio, Julie M.; Halverson, Richard – Journal of Research on Technology in Education, 2020
Personalized learning refers to a collection of practices designed to place student interests and needs at the heart of schooling. Schools that implement personalized learning need leaders that support educators and students in redesigning the core practices of teaching and learning in K-12 schools. To answer the question of how leaders support…
Descriptors: Power Structure, Participative Decision Making, Individualized Instruction, Elementary Secondary Education
McHugh, David; Shaw, Sarah; Moore, Travis R.; Ye, Leafia Zi; Romero-Masters, Philip; Halverson, Richard – Journal of Research on Technology in Education, 2020
Using a natural language processing tool, this study examined participant discourse in personalized learning schools to better understand what personalized learning looks like in practice. Term frequency-inverse document frequency (tf-idf) was used to identify the significant words and potential emergent themes for 134 interview transcripts. This…
Descriptors: Natural Language Processing, Discourse Analysis, Word Frequency, Identification

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