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Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
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Andrew A. Tawfik; Linda Payne; Heather Ketter; Jedidiah James – Technology, Knowledge and Learning, 2025
In contrast to traditional views of instructional design that are often focused on content development, researchers are increasingly exploring learning experience design (LXD) perspectives as a way to espouse a broader and more holistic view of learning. In addition to cognitive and affective perspectives, LXD includes perspectives on…
Descriptors: Instructional Design, Educational Technology, Technology Integration, Usability
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Andrew A. Tawfik; Linda Payne; Andrew M. Olney – Technology, Knowledge and Learning, 2024
Theorists and educators increasingly highlight the importance of computational thinking in STEM education. While various scaffolding strategies describe how to best support this skillset (i.e., paired programming, worked examples), less research has focused on the design and development of these digital tools. One way to support computational…
Descriptors: Thinking Skills, Computation, STEM Education, Scaffolding (Teaching Technique)
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Taufik Slamet; Thomas Brush; Kyungbin Kwon – Technology, Knowledge and Learning, 2025
This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…
Descriptors: Competition, Gamification, Computer Mediated Communication, Group Discussion
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Gonzalez, Emily A.; Grotzer, Tina A.; McGivney, Eileen; Reilly, Joseph – Technology, Knowledge and Learning, 2022
Multi-User Virtual Environments (MUVEs) provide a rich and immersive context for introducing inquiry-based and Problem-Based Learning (PBL) into science classrooms. MUVES can have a significant effect on learning outcomes, however, illuminating how particular design features interact with those outcomes is an important area of investigation for…
Descriptors: Science Instruction, Inquiry, Active Learning, Problem Based Learning
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Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Technology, Knowledge and Learning, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
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Yerushalmy, Michal; Naftaliev, Elena – Technology, Knowledge and Learning, 2011
In an attempt to study the emerging questions about design of mathematical tasks that could support the solving of challenging problems, we designed two settings of interactive diagrams that share an example represented as an animation of multi-process motion but differ in their organizational functions. The interactive settings, each comprising…
Descriptors: Computer Assisted Instruction, Cognitive Processes, Mathematics Instruction, Problem Solving