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Mary Kamela – New Directions for Teaching and Learning, 2024
This chapter discusses the history of source evaluation methods within the ever-changing field of information literacy, including a critical assessment of one popular approach, the CRAAP Test. The author then endorses an alternative approach, lateral reading, which encourages students to engage more deeply when evaluating digital resources in an…
Descriptors: Evaluation Methods, Credibility, Information Literacy, Test Validity
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Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
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Jorge A. Arevalo; Jose M. Alcaraz; Keary Shandler – Journal of Management Education, 2025
Based on action learning, we propose a new use of digital story telling (DST) in sustainability in management education (SiME). Using thematic analysis (TA), we analyze a set of 63 student generated DST films on the Anthropocene to propose an experiential learning framework based on five key learning domains: the Planetary Boundaries, scale issues…
Descriptors: Experiential Learning, Creativity, Electronic Learning, Story Telling
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Rowland, Amber; Myers, Suzanne; Elford, Martha D.; Smith, Sean J. – Journal of Special Education Technology, 2023
Virtual coaching is emerging as a feasible method of providing ongoing, job-embedded, personalized professional learning to educators. This manuscript details how virtual coaching is different from on-site coaching in education. It describes field-tested strategies and technologies a coach can use to be successful when coaching virtually. There…
Descriptors: Coaching (Performance), Electronic Learning, Faculty Development, Technology Uses in Education
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Lim, David C. L.; Zawacki-Richter, Olaf; Jung, Insung – Asian Association of Open Universities Journal, 2023
Purpose: This paper engages Olaf Zawacki-Richter and Insung Jung in a frank and penetrating conversation that seeks to ground, frame, and problematise research in the field conceptualised as "open, distance and digital education" (ODDE). Taking as starting point the recent publication of the landmark "Handbook of Open, Distance, and…
Descriptors: Distance Education, Electronic Learning, Educational Research, Open Education
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Lo, Jane C.; Hodgin, Erica R.; Garcia, Antero – Democracy & Education, 2022
While traditional civic education in the United States is inextricably linked to notions of a public sphere, this paper argues that the digital era requires a reimagining of this premise. The opaque nature of digital spaces makes it difficult for young people to understand how large of an audience they are interacting with and to what extent a…
Descriptors: Citizenship Education, Teaching Methods, Semiotics, Privacy
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Paul Atkinson; Tim Flanagan – Studies in Philosophy and Education, 2024
The digital humanities have developed in concert with online systems that increase the accessibility and speed of learning. Whereas previously students were immersed in the fluidity of campus life, they have become suspended and drawn-into various streams and currents of digital pedagogy, which articulate new forms of epistemological movement,…
Descriptors: Humanities, Electronic Learning, Educational Technology, Technology Uses in Education
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Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
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Liu, Mengchi; Yu, Dongmei – Education and Information Technologies, 2023
The prevalence of e-learning systems has made educational resources more accessible, interactive and effective to learners without the geographic and temporal boundaries. However, as the number of users increases and the volume of data grows, current e-learning systems face some technical and pedagogical challenges. This paper provides a…
Descriptors: Electronic Learning, Educational Technology, Literature Reviews, Client Server Architecture
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Sreeram Vishnu; Mahesh B. Tengli; Sendhil Ramadas; Archana Raghavan Sathyan; Archana Bhatt – TechTrends: Linking Research and Practice to Improve Learning, 2024
Modern life and society are heavily reliant on technology. Technology has the potential to revolutionize educational access by transcending geographical barriers and catering to diverse learning needs, paving the way for equitable and inclusive education for all. Various studies have confirmed that use of technology tools in education would…
Descriptors: Electronic Learning, Higher Education, Foreign Countries, Technology Uses in Education
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Ivan Šarcevic – Journal of Learning for Development, 2024
This paper analyses the potential of micro-credentials in adult education through upcoming EU policies and initiatives, bearing in mind the increasing use of online learning platforms globally. Understanding national and international approaches to micro-credentials allows undergraduate programmes and teaching practices to flourish in economically…
Descriptors: Foreign Countries, Microcredentials, Adult Education, Educational Policy
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Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
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Stephanie Moore; Fatemeh Marzban – Distance Learning, 2024
Student mental health in higher education has been worsening for some time, even prior to the pandemic, showing up in various ways that learners struggle in online learning and other modalities. More recent research on health, sleep, and chronic illness as aspects of online learner mental fatigue and academic performance suggests that online…
Descriptors: Electronic Learning, Mental Health, Student Welfare, Caring
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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
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Doniwen Pietersen – Perspectives in Education, 2024
Making the most of online or hybrid teaching platforms is essential to making sure that, in the Fourth Industrial Revolution (4IR), higher education settings in developing universities and places are not left behind. While a number of the technological platforms adopted during the COVID-19 lockdown have the potential to reach more kids, they have…
Descriptors: Electronic Learning, Teaching Methods, Higher Education, Industrialization
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