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Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
Xueye Yan; Peng Peng; Yuting Liu – Grantee Submission, 2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing…
Descriptors: Computer Assisted Instruction, Reading Instruction, Instructional Design, Reading Difficulties
Xiao-Fan Lin; Seng Yue Wong; Wei Zhou; Weipeng Shen; Wenyi Li; Chin-Chung Tsai – International Journal of Science and Mathematics Education, 2024
Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Foreign Countries
Capturing Movement: A Tablet App, "Geometry Touch," for Recording Onscreen Finger-Based Gesture Data
Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
Kristin Herman; Miguel Ramlatchan; Ross Herman – TechTrends: Linking Research and Practice to Improve Learning, 2024
Over the past decade, geospatial technologies have emerged as a tool for developing spatial reasoning and cognitive processes. While the foundational Learning to Think Spatially report from the National Research Center (2006) launched research into the use of geospatial technologies in isolation, more recently, cloud-based simulation software have…
Descriptors: Geographic Information Systems, Spatial Ability, Computer Simulation, Instructional Design
Colm P. Murphy; Oliver R. Runswick; N. Viktor Gredin; David P. Broadbent – Cognitive Research: Principles and Implications, 2024
In sport, coaches often explicitly provide athletes with stable contextual information related to opponent action preferences to enhance anticipation performance. This information can be "dependent" on, or "independent" of, dynamic contextual information that only emerges during the sequence of play (e.g. opponent positioning).…
Descriptors: Information Sources, Team Sports, Expectation, Athletes
Yi Zhang; Yun Pan; Ziyan Wu; Zhongling Pi; Jiumin Yang – Education and Information Technologies, 2024
Videos are pivotal tools in pre-service teacher training. First-person, third-person, and 360-degree perspectives are commonly used types and the optimal type remains undetermined. In our study involving pre-service teachers (PSTs), we evaluated the efficacy of 360-degree videos against the first-person and third-person perspective videos…
Descriptors: Cognitive Processes, Difficulty Level, Video Technology, Preservice Teachers
Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
Yongluan Ye; Regina Kaplan-Rakowski – British Journal of Educational Technology, 2024
Holding learners' attention is challenging, especially when they are asked to listen to long passages. High-immersion virtual reality (VR) can immerse learners in listening tasks, even in such complex languages as Chinese. This exploratory study examined the effect of VR on 43 Chinese language learners' listening comprehension, enjoyment, sense of…
Descriptors: Computer Simulation, Chinese, Second Language Learning, Technology Uses in Education
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Feng Feng; Wenxia Yang – Education and Information Technologies, 2025
The emergence of digital game types has opened up significant opportunities to facilitate language acquisition through feedback provision, attracting diverse research strands to explore their potential as arenas for technology-assisted language learning. This study investigates the effects of learner-, peer-, and collaborative-regulated feedback…
Descriptors: Foreign Countries, Computer Games, Game Based Learning, Feedback (Response)
Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
Ce Song – European Journal of Education, 2025
This study examines the role of AI-powered learning tools in influencing cognitive load, well-being and academic success among music education students, with a focus on technology acceptance as a key factor. Data were collected through a random sampling of 454 Chinese music students (192 males, 262 females) aged 18-24, with varying levels of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Music Education
Özgehan Ustuk; Guangwei Hu – Asia-Pacific Education Researcher, 2025
Questions asked by teachers are vital to maintaining and sustaining learner engagement. In Hong Kong secondary classrooms where English is used as the medium of instruction (EMI), productive teacher questioning is key to promoting both language and content learning. Drawing on classroom observations and in-depth interviews, this study investigated…
Descriptors: Teaching Methods, Questioning Techniques, Language of Instruction, English (Second Language)
Casey Hord; Matthew Christman; Tiffany Berman – Insights into Learning Disabilities, 2025
As they progress to more abstract and complex levels of mathematics, students with learning disabilities (and other students who are struggling with mathematics) can face challenges related to memory and cognition, as well as potential difficulties with math anxiety. For example, quadratic functions can present several challenges for many…
Descriptors: Students with Disabilities, Learning Disabilities, At Risk Students, Mathematics Education

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