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Seungbak Lee; Minsoo Kang; Jae-Hyeon Park; Hyo-Jun Yun – Measurement in Physical Education and Exercise Science, 2025
The PageRank model has been applied in sport ranking systems; however, prior implementations exhibited limitations and failed to produce valid rankings. This study analyzed 1,466 National Collegiate Athletic Association (NCAA) Division 1 football games and developed a novel, modified PageRank model. We also proposed an artificial…
Descriptors: Algorithms, Evaluation Methods, Team Sports, College Athletics
Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
Samar S. Aad; Mariann Hardey – Emerald Publishing Limited, 2025
In a landscape where technological advancements are disrupting and reshaping the educational paradigm, "After Generative AI" serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Educational Strategies
Wenming Wang; Guijiang Liu; Deyang Liu; Youzhi Zhang – International Journal of Information and Communication Technology Education, 2025
With the rapid development of information technology, the internet has emerged as a pivotal driving force in reshaping higher education paradigms. This paper delves into clustering algorithms and proposes an enhanced version, exploring how this enhanced clustering algorithm can be applied to blended teaching of digital electronic technology…
Descriptors: Algorithms, Blended Learning, Educational Technology, Internet
Anil Erkan; Sumeyra Akkaya – Journal of Education in Science, Environment and Health, 2025
This study aims to examine the views of fourth-grade primary school students on coding education given through the Scratch program by determining the students' skills in using the program and algorithmic thinking skills. The study was conducted as a one-group study with an embedded mixed design. The study group consisted of 32 students attending…
Descriptors: Elementary School Students, Grade 4, Programming, STEM Education
Jyoti Prakash Meher; Rajib Mall – IEEE Transactions on Education, 2025
Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…
Descriptors: Cognitive Ability, Assistive Technology, Adaptive Testing, Computer Assisted Testing
adam patrick bell – Action, Criticism, and Theory for Music Education, 2025
In this article I examine the generative AI music-making applications of Google called MusicFX DJ and Music AI Sandbox, as well as Udio, an end-to-end generative AI music system created by ex-Google employees. I frame these generative AI music systems designed by Big Tech as part of their neoliberal agenda, which involves influencing music…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Educational Technology
Abdelmadjid Benmachiche; Abdelhadi Sahia; Soundes Oumaima Boufaida; Khadija Rais; Makhlouf Derdour; Faiz Maazouzi – Education and Information Technologies, 2025
In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…
Descriptors: MOOCs, Natural Language Processing, Artificial Intelligence, Search Engines
Zebin Liu; Xiaoheng Zhang; Wende Liu; Wanxue Chen; Yongjun Li; Yi Zhou – Education and Information Technologies, 2025
The rapid advancement of digital technologies is prompting a necessary shift in traditional educational models, particularly in finance education. This study introduces the "Multi-Dimensional Situated Learning Model" (MD-SLM), which is rooted in constructivist theory and aims to enhance teaching strategies in university finance courses.…
Descriptors: College Instruction, Teaching Methods, Business Education, Money Management
Tohru Murakami; Toru Araki; Yuki Tajika; Hitoshi Ueno; Sotaro Ichinose; Hirohide Iwasaki; Hiroshi Yorifuji – Anatomical Sciences Education, 2025
Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes,…
Descriptors: Anatomy, Laboratory Procedures, Medical Education, Medical Students
Marijn Martens; Ralf De Wolf; Lieven De Marez – Technology, Knowledge and Learning, 2025
Algorithmic decision-making systems such as Learning Analytics (LA) are widely used in an educational setting ranging from kindergarten to university. Most research focuses on how LA is used and adopted by teachers. However, the perspective of students and parents who experience the (in)direct consequences of these systems is underexplored. This…
Descriptors: Algorithms, Decision Making, Learning Analytics, Secondary School Students
Ke Ting Chong; Noraini Ibrahim; Sharin Hazlin Huspi; Wan Mohd Nasir Wan Kadir; Mohd Adham Isa – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The purpose of this study is to review and categorize current trends in student engagement and performance prediction using machine learning techniques during online learning in higher education. The goal is to gain a better understanding of student engagement prediction research that is important for current educational planning and…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Higher Education
Emel Birer; Esin Hasgül; Elif Gizem Metin – International Journal of Art & Design Education, 2025
Design education includes many pursuits that deal with creativity, thinking and visual communication techniques in the learning process. This study aims to create a participatory learning algorithm based on a location, while measuring the spatial impact through an emergent situation. The exemplified issue is determined as fire that emerged due to…
Descriptors: Design, Algorithms, Climate, Environmental Education
Marvin Lavechin; Maureen de Seyssel; Hadrien Titeux; Guillaume Wisniewski; Hervé Bredin; Alejandrina Cristia; Emmanuel Dupoux – Developmental Science, 2025
Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding…
Descriptors: Infants, Child Development, Acoustics, Native Language
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education

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