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Nabila Khodeir; Fatma Elghannam – Education and Information Technologies, 2025
MOOC platforms provide a means of communication through forums, allowing learners to express their difficulties and challenges while studying various courses. Within these forums, some posts require urgent attention from instructors. Failing to respond promptly to these posts can contribute to higher dropout rates and lower course completion…
Descriptors: MOOCs, Computer Mediated Communication, Conferences (Gatherings), Models
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Prasarn Sripongplerd – Journal of Education and Learning, 2024
The main purpose of this research was to do a confirmatory factor analysis of cyberbullying behaviors among undergraduate students in higher education institutions in northeastern Thailand. The sample included 1,062 1st-4th years bachelor's degree students in the academic year 2022 from five higher education institutions located in the Northeast…
Descriptors: Foreign Countries, Bullying, Computer Mediated Communication, Undergraduate Students
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Danielle Kearns-Sixsmith – Mentoring & Tutoring: Partnership in Learning, 2024
Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…
Descriptors: Electronic Learning, Tutoring, Higher Education, Educational Quality
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Ismail Juma Ismail – International Journal of Educational Management, 2025
Purpose: The current research aims at investigating the mediating effect of electronic word of mouth (eWOM) on the link between entrepreneurial education and choice of the university among students. The main focus of this paper is that when entrepreneurial education is properly-implemented at universities, it leads to several positive outcomes…
Descriptors: Entrepreneurship, Business Education, Marketing, Models
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Ilham Marnola; I Nyoman Sudana Degeng; Saida Ulfa; Henry Praherdhiono – Journal of Educators Online, 2025
This research aims to develop an online Project-Based Collaborative Learning (PBL) model design by utilizing an asynchronous Online Discussion Forum (ODF) that can systematically direct teachers or lecturers as facilitators in learning, and how experts think about the design. Using the Research and Development (R&D) method, this design was…
Descriptors: Instructional Design, Models, Active Learning, Student Projects
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Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
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Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
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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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Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
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Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
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Congrong Shi; Wenke Chen; Jing Huang; Zhihong Ren – Journal of Early Adolescence, 2024
Although cyber victimization has been suggested as a significant risk factor for the development of adolescents' depression, the underlying psychopathological process that mediates this relationship needs further exploration. Based on the psychological inflexibility model, this study aimed to examine cognitive fusion and experiential avoidance as…
Descriptors: Correlation, Computer Mediated Communication, Bullying, Victims
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Wanli Xing; Hai Li; Taehyun Kim; Wangda Zhu; Yukyeong Song – Education and Information Technologies, 2025
Although researchers recognize the importance of discussing support for math learning within online learning communities, there is a lack of relevant network classifying methods and analyses at the group level to understand the behavioral differences between groups with varying levels of activity, including their mathematical literacies. In this…
Descriptors: Computer Mediated Communication, Asynchronous Communication, Group Discussion, Communities of Practice
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Shanna E. Hirsch; Steven A. Rufe; Hannah M. Mathews – Beyond Behavior, 2025
Special educators who work with students with significant behavior support needs require professional development opportunities that provide practice-based professional development and create the social support inherent in communities of practice. We outline a practice-based professional development model with follow-up sessions using the U.S.…
Descriptors: Communities of Practice, Special Education Teachers, Faculty Development, Learning Experience
Mahmoud Mohammad Sayed Abdallah – Online Submission, 2025
This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…
Descriptors: Models, Artificial Intelligence, Second Language Learning, Learning Theories
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McComb, Camilla; Leonard, Nicholas; Letts, Michael; Ruopp, Amy; Todd, Cindy; Yang, Guey-Meei; Zaszlavik, Katalin – Art Education, 2022
The transition to hybrid and online instruction during the 2020 pandemic presented unprecedented challenges to the field of art education. This resulted in newly formed communities of inquiry and support, representing a wide range of technological skills and teaching experience. This article spotlights the Michigan Art Education Association (MAEA)…
Descriptors: Pandemics, COVID-19, Teaching Methods, Preservice Teachers
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