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Showing 1 to 15 of 96 results Save | Export
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Guido Lang; Tan Gürpinar – Information Systems Education Journal, 2025
This study investigates the effectiveness of a Retrieval-Augmented Generation (RAG) chatbot to enhance learning and engagement in a self-paced, asynchronous online R programming course. To contextualize the development and potential of RAG chatbots, we conducted a literature review on existing approaches and their use in educational settings.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Program Effectiveness, Online Courses
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Sadhu Prasad Kar; Amit Kumar Das; Rajeev Chatterjee; Jyotsna Kumar Mandal – Education and Information Technologies, 2024
Technology Enabled Learning (TEL) has a major impact on the learning adaptability of the learners. During the COVID-19 pandemic, there has been a drastic change in the learning methodology. The adaptability of learners from the various domains, levels and age has been a significant component of research in context to education. In this paper, the…
Descriptors: Online Courses, Artificial Intelligence, Technology Uses in Education, Student Adjustment
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Jered Borup; Richard E. West; Patrick Lowenthal; Leanna Archambault – Open Praxis, 2025
So much depends on online course participants' ability to communicate in ways so that others can perceive their personalities and know that they are "real people." However, the line between the "real" and the "artificial" has been blurred with the rise of generative AI and guidance is needed for integrating generative…
Descriptors: Asynchronous Communication, Interpersonal Relationship, Video Technology, Artificial Intelligence
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Aicha Er-Rafyg; Abdellah Idrissi; Kaoutar El Handri – International Journal of Learning Technology, 2025
In today's digital age, online courses have become a valuable tool for learners to acquire new skills and knowledge. The global outbreak of COVID-19 has further accelerated the adoption of online learning as education service providers are forced to move their courses online to ensure the continuity of education. However, with many online courses,…
Descriptors: Technology Uses in Education, Online Courses, Artificial Intelligence, Information Systems
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Betül Tonbuloglu – Journal of Educational Technology and Online Learning, 2023
In online education, it is extremely important to achieve the targeted learning outcomes and to create an effective learning environment. This requires an interactive learning environment with a sense of learning community, personalised learning opportunities, well-designed instructional content that makes effective use of visuals, sounds and…
Descriptors: Artificial Intelligence, Online Courses, Educational Technology, Technology Uses in Education
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Murray-Johnson, Kayon; Munro, Andrea; Popoola, Racheal – New Directions for Adult and Continuing Education, 2021
This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Learning Activities
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Jie Tian – International Journal of Web-Based Learning and Teaching Technologies, 2025
As cloud computing, big data, and AI advance, teachers increasingly leverage "cloud" technology for flexible and intelligent teaching. The "cloud classroom" is a growing trend, especially for instrumental music education. This paper examines the pros and cons of cloud-based instrumental music teaching, exploring how to adapt…
Descriptors: Music Education, Musical Instruments, Artificial Intelligence, Educational Technology
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Blasius Erik Sibarani – Turkish Online Journal of Distance Education, 2025
As a result of the COVID-19 pandemic, the approach to learning in education has transitioned from traditional to online (distance learning). It is undeniable that distance education has become a new approach to learning. In the past decade, many institutions have offered distance learning approaches. However, the effectiveness of distance…
Descriptors: Artificial Intelligence, Distance Education, Learner Engagement, Program Effectiveness
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Mia Allen; Usman Naeem; Sukhpal Singh Gill – IEEE Transactions on Education, 2024
Contributions: In this article, a generative artificial intelligence (AI)-based Q&A system has been developed by integrating information retrieval and natural language processing techniques, using course materials as a knowledge base and facilitating real-time student interaction through a chat interface. Background: The rise of advanced AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Information Retrieval, Natural Language Processing
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Brian W. Stone – Teaching of Psychology, 2025
Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Xieling Chen; Di Zou; Haoran Xie; Gary Cheng; Zongxi Li; Fu Lee Wang – International Review of Research in Open and Distributed Learning, 2025
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…
Descriptors: MOOCs, Distance Education, Online Courses, Course Evaluation
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Belle Li; Chaoran Wang; Curtis J. Bonk; Xiaojing Kou – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study explores the integration of generative AI, specifically ChatGPT, in self-directed language learning (SDLL) as perceived by YouTube content creators. Through thematic analysis of in-depth interviews with 14 prominent online language educators with related YouTube videos on ChatGPT, the present study investigates: (1) their perceptions of…
Descriptors: Artificial Intelligence, Online Courses, Second Language Instruction, Language Teachers
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Sireesha Prathigadapa; Salwani Mohd Daud – Journal of Learning for Development, 2025
In contemporary education, accurately predicting student performance and delivering prompt feedback is paramount for fostering a comprehensive grasp of academic progress and adopting strategies for enhancing the quality of student learning. This review examines the studies on virtual tutoring systems utilising Generative Pre-trained Transformer 3…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Feedback (Response)
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Bart Rienties; John Domingue; Subby Duttaroy; Christothea Herodotou; Felipe Tessarolo; Denise Whitelock – Distance Education, 2025
With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI amongst undergraduate students, little is yet known about students' perceptions regarding AI including…
Descriptors: Distance Education, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Justin Carrell – ProQuest LLC, 2024
This study sought to develop, implement, and test an Artificial Intelligence Teaching Assistant (AITA) to enhance student engagement and instructor presence in online courses using AI models like OpenAI's 4o model and Integration Platform as a Service (iPaaS) solutions like Microsoft Power Automate. The AITA generated weekly announcements within…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Assistants, Online Courses
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