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Xiaona Xia; Wanxue Qi – Technology, Pedagogy and Education, 2025
One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…
Descriptors: Graphs, Knowledge Level, MOOCs, Prediction
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Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
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Xinning Zheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used…
Descriptors: English Instruction, Data Use, Learning Processes, Educational Technology
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Rolf Ploetzner – Interactive Learning Environments, 2024
Interactive videos are frequently employed in education. Although several reviews and syntheses indicate that interactively engaging with videos might benefit learning, up until now no quantitative synthesis of the effectiveness of enhanced interaction features in educational videos has been published. Enhanced interaction features explicitly aim…
Descriptors: Interactive Video, Educational Technology, Active Learning, Instructional Effectiveness
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Dahwi Ahn; Jason C. K. Chan – Applied Cognitive Psychology, 2025
COVID-19 greatly increased the online delivery of higher education. But one limitation of online learning is that students often struggle to stay engaged while watching online lectures. We examined whether including an instructor's face in lecture videos (instructor visibility) enhances student engagement or learning. In two preregistered…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Attitudes
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Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
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Ye Jia; Xiangzhi Eric Wang; Zackary P. T. Sin; Chen Li; Peter H. F. Ng; Xiao Huang; George Baciu; Jiannong Cao; Qing Li – IEEE Transactions on Learning Technologies, 2024
One of the promises of edu-metaverse is its ability to provide a virtual environment that enables us to engage in learning activities that are similar to or on par with reality. The digital enhancements introduced in a virtual environment contribute to our increased expectations of novel learning experiences. However, despite its promising…
Descriptors: Computer Simulation, Educational Technology, Learning Processes, Socialization
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Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
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Ailsa Zayyan Salsabila; R. Yugo Kartono Isal; Harry B. Santoso – Journal of Educators Online, 2025
This study aims to provide recommendations for interaction design to enhance students' task interpretation, as one of the crucial aspects of Self-Regulated Learning (SRL) in online learning environments. Utilizing the Engineering Design Metacognitive Questionnaire (EDMQ), open-ended questions, and in-depth interviews, this study examines the…
Descriptors: Learning Processes, Electronic Learning, College Students, Computer Science Education
Patricia Barton – ProQuest LLC, 2024
Maria Montessori established her first school almost 120 years ago. She prepared teachers herself through lectures as well as practice with Montessori manipulatives, and observation of classrooms. That method of preparing teachers had not changed significantly until recent years. Adult learners needed to attend class full-time in person, making it…
Descriptors: Montessori Method, Teacher Education Programs, Educational Technology, Professional Identity
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Candace Walkington; Mitchell J. Nathan; Wen Huang; Jonathan Hunnicutt; Julianna Washington – Educational Technology Research and Development, 2024
The emergence of immersive digital technologies, such as shared augmented reality (shAR), virtual reality (VR) and motion capture (MC) offers promising new opportunities to advance our understanding of human cognition and design innovative technology-enhanced learning experiences. Theoretical frameworks for embodied and extended cognition can…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Motion
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Daniela Decker; Martin Merkt – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented…
Descriptors: Cues, Educational Technology, Computer Simulation, Light
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Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
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Muhammad Farrukh Shahzad; Shuo Xu; Xin An; Hira Zahid; Muhammad Asif – European Journal of Education, 2025
The arrival of generative artificial intelligence (GAI) technologies marks a significant transformation in the educational landscape, with implications for teaching and learning performance. These technologies can generate content, simulate interactions, and adapt to learners' needs, offering opportunities for interactive learning experiences. In…
Descriptors: Artificial Intelligence, Learning Processes, Teaching Methods, Foreign Countries
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