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Showing 1 to 15 of 29 results Save | Export
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Yujie Zhou; Ge Cao; Xiao-Liang Shen – Education and Information Technologies, 2024
Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosystem, it is essential to create a virtuous cycle from knowledge production to knowledge consumption by charging learners to incentivize…
Descriptors: Electronic Learning, Economics, Sustainability, Models
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Chang Cai; Gaoxia Zhu; Min Ma – Education and Information Technologies, 2025
Interdisciplinary learning requires students to integrate knowledge and methods from different disciplines, prompting advanced skills development and knowledge construction by connecting diverse subjects. Artificial Intelligence (AI), with its rich information base and abilities to track learning and provide personalized support, has the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Interdisciplinary Approach, Influence of Technology
Lisa DaVia Rubenstein; Sydney Katherine Johnson; Allison Southworth; Gerardo Ramirez – Phi Delta Kappan, 2024
Leadership is often conceptualized and taught through famous, world-changing individuals; however, leadership spans levels of influence, from small-group projects to global initiatives. While student leaders are present at every level, existing leadership research and programs center adults. Within this article, Lisa DaVia Rubenstein, Sydney…
Descriptors: Leadership, Student Leadership, Models, Definitions
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Julie Rattray – Higher Education: The International Journal of Higher Education Research, 2024
Higher education is facing increasing calls to engage in a process of intellectual decolonisation. This process necessitates that we take time to consider both the content of our curriculum and the pedagogic practices used to facilitate its understanding. Drawing on discussions of both intellectual decolonisation and its underpinning principles of…
Descriptors: Higher Education, Power Structure, Decolonization, Justice
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Beth A. Covitt; Kristin L. Gunckel; Alan Berkowitz; William W. Woessner; John Moore – Journal of Science Education and Technology, 2024
Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…
Descriptors: Learning Experience, Computation, Thinking Skills, Models
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Erch Selimi; Carl T. Woods – Sport, Education and Society, 2025
This paper explores how an enskilment approach could be harnessed to guide coach education in Australian football (soccer). To do so, we first overview current coach education practices in Australian football, looking specifically into the foundation of Football Australia's coach education model, rooted in a transmissive metaphor. Then, drawing on…
Descriptors: Athletic Coaches, Team Sports, Foreign Countries, Educational Practices
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Maedeh Kazemitabar; Susanne P. Lajoie; Tenzin Doleck – Education and Information Technologies, 2024
For effective teamwork, especially in demanding learning situations like a hackathon, coordination is crucial as it contributes to mutual trust and shared mental models of team members. However, teams experience challenges that mar team coordination. Research has shown that interpersonal skills such as socially-shared emotion regulation (SSER) can…
Descriptors: Emotional Response, Self Control, Teamwork, Coordination
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Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
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Michele Dickey – Journal of Educational Multimedia and Hypermedia, 2025
Instructional design is a design discipline that bridges science and arts-based practices. It has a long history of borrowing from various fields of design. Experience Design (XD) is a relatively new field that holds relevance for instructional design because, as a multidisciplinary approach, XD focuses on creating meaningful user experiences and…
Descriptors: Instructional Design, Learning Experience, Educational Environment, Design
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Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
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Adeva Jane Esparrago-Kalidas; Princess Imee Alliah F. Labis; Roshmond Roi Entrina; Divine Grace R. Marcelino; Kevin Matthew N. Pacana; Joelie Mae B. Pailaga – Anatolian Journal of Education, 2024
This action research aimed to study the use the Gamification-Incentive-Feedback (GIF) Model in enhancing the classroom learning experience of Grade 9 students in a private school in Cagayan de Oro, Philippines. The research used convenience sampling and used a combination of Likert scale pre-intervention and post-intervention survey questionnaires…
Descriptors: Gamification, Incentives, Feedback (Response), Models
Tiffany Barnes; Sarah Burriss; Joshua Danish; Samantha Finkelstein; Megan Humburg; Ally Limke; Ole Molvig; Heidi Reichert – Community for Advancing Discovery Research in Education (CADRE), 2024
Research and development work in artificial intelligence in education (AIED) is wide ranging and rapidly growing to support all areas of science, technology, engineering, and mathematics (STEM) teaching and learning. At the risk of hyperbole, this is potentially the most fundamentally game-changing technology for education to emerge since the…
Descriptors: Ethics, Artificial Intelligence, Educational Research, Technology Uses in Education
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Inma Álvarez; Mara Fuertes Gutiérrez; Matilde Gallardo Barbarroja – Innovation in Language Learning and Teaching, 2024
This paper aims at understanding the extent to which languages are taught collaboratively in higher education (HE), which team teaching (TT) models have been implemented, and what lessons were learnt from the experiences. Following the Arksey and O'Malley framework [2005. "Scoping Studies: Towards a Methodological Framework."…
Descriptors: Team Teaching, Second Language Learning, Second Language Instruction, Faculty Development
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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
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Minhong Wang – Knowledge Management & E-Learning, 2024
Learning is an integral part of being human. How people learn has long been discussed, revealed in many learning theories, investigated in numerous studies, and demonstrated in extensive practices. The goal of this article is to rethink how people learn from four fundamental perspectives, that is, learning by interaction with content (C), learning…
Descriptors: Learning Processes, Instructional Design, Learning Experience, Teaching Methods
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