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Anderson Pinheiro Cavalcanti; Rafael Ferreira Mello; Dragan Gaševic; Fred Freitas – International Journal of Artificial Intelligence in Education, 2024
Educational feedback is a crucial factor in the student's learning journey, as through it, students are able to identify their areas of deficiencies and improve self-regulation. However, the literature shows that this is an area of great dissatisfaction, especially in higher education. Providing effective feedback becomes an increasingly…
Descriptors: Prediction, Feedback (Response), Artificial Intelligence, Automation
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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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Priya Sharma; Mahir Akgun; Qiyuan Li – Educational Technology Research and Development, 2024
Networked and digital technologies are increasingly being used for learning in formal and informal contexts, and participant engagement occurs primarily via online discussions. In this paper, we describe an ongoing research project that focuses on examining and understanding student engagement in collaborative online discussions within a formal…
Descriptors: Social Networks, Network Analysis, Discourse Analysis, Classification
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Ozden Candemir; Berrin Ozkanal – Turkish Online Journal of Distance Education, 2024
The aim of this study is to determine the metaphorical ideas held by learners/graduates who engage in online student communities within the Anadolu University Open and Distance Education System, specifically with the concept of "online student communities". The study utilized a qualitative research methodology, specifically employing the…
Descriptors: Distance Education, Communities of Practice, Student Attitudes, Graduates
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Kevser Tozduman Yarali – Journal of Learning and Teaching in Digital Age, 2025
Digital games are among the most common reasons children use the internet, and the time children spend playing digital games is increasing day by day. This research aims to identify the characteristics of the digital games most preferred by children, while also examining their digital gaming habits. The study was conducted using a qualitative…
Descriptors: Elementary School Students, Middle School Students, Computer Games, Handheld Devices
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Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
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Piet Kommers, Editor; Inmaculada Arnedillo Sánchez, Editor; Pedro Isaías, Editor – International Association for Development of the Information Society, 2024
These proceedings contain the papers and posters of the 22nd International Conference on e-Society (ES 2024) and 20th International Conference on Mobile Learning (ML 2024), organised by the International Association for Development of the Information Society (IADIS) in Porto, Portugal, during March 9-11, 2024. The e-Society 2024 conference aims to…
Descriptors: Information Technology, Adolescents, Divorce, Health Services