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Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence
Conrad Borchers; Jiayi Zhang; Hendrik Fleischer; Sascha Schanze; Vincent Aleven; Ryan S. Baker – Journal of Educational Data Mining, 2025
Think-aloud protocols are a standard method to study self-regulated learning (SRL) during learning by problem-solving. Advances in automated transcription and large language models (LLMs) have automated the transcription and labeling of SRL in these protocols, reducing manual effort. However, while effective in many emerging applications, previous…
Descriptors: Artificial Intelligence, Protocol Analysis, Learning Strategies, Classification
Elsa Morgado; Levi Leonido; Antonino Pereira; Luís Borges Gouveia – Educational Process: International Journal, 2025
Background/purpose: Artificial Intelligence (AI) and distance learning (EaD) have profoundly transformed education, redefining teaching methodologies and learning dynamics. When integrated into educational environments, these technologies facilitate equitable access to knowledge, enable personalized learning, and enhance pedagogical flexibility.…
Descriptors: Educational Technology, Technology Uses in Education, Distance Education, Artificial Intelligence
René Lobo-Quintero – Journal of Learning Analytics, 2025
This study investigates the integration of artificial intelligence into the Think-Pair-Share (TPS) methodology through a learning analytics lens. Using a mixed-methods quasi-experimental design (N=140), we examined how an AI-enhanced collaborative platform influences creative thinking among computer science undergraduates. The experimental group…
Descriptors: Artificial Intelligence, Cooperative Learning, Creative Thinking, Undergraduate Students
Charaf Tilioui; El Mehdi Bellfkih; Imrane Chems Eddine Idrissi; Khadija El Kababi; Mohamed Radid; Ghizlane Chemsi – Educational Process: International Journal, 2025
Background/purpose: Middle school is a critical stage for shaping students' academic paths, but traditional orientation methods often fail to predict suitable trajectories, leading to mismatches that impede success. This study aims to develop a proactive, data-driven framework to forecast academic orientation for middle school students, enhancing…
Descriptors: Foreign Countries, Middle Schools, Middle School Students, Intellectual Disciplines
Jing Chen; Nur Azlina Mohamed Mokmin; HanJun Su – Innovations in Education and Teaching International, 2025
As digital technologies evolve, traditional teaching methods in design and art education are increasingly insufficient to meet students' learning needs. While Generative Artificial Intelligence (GenAI) has introduced transformative applications in education, its impact on design and art curricula remains underexplored. To address this gap, this…
Descriptors: Artificial Intelligence, Technology Integration, Design, Art Education
Nivad H. Mwilongo; Kelvin M. Mwita – Innovations in Education and Teaching International, 2025
The study aimed to answer 'How students in higher education utilise AI to enhance their academic performance when there is an intrinsic motivation to learn'. An online survey was used to collect data from 170 undergraduate students who pursue management and administration-related courses. The structural equation modelling (SEM) was conducted using…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Academic Achievement
Siska Wati Dewi Purba; Bertha Natalina Silitonga; John Jackson Yang – Turkish Online Journal of Distance Education, 2025
The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Educational Trends
Deliang Wang; Gaowei Chen – British Journal of Educational Technology, 2025
Classroom dialogue is crucial for effective teaching and learning, prompting many professional development (PD) programs to focus on dialogic pedagogy. Traditionally, these programs rely on manual analysis of classroom practices, which limits timely feedback to teachers. To address this, artificial intelligence (AI) has been employed for rapid…
Descriptors: Classroom Communication, Artificial Intelligence, Technology Uses in Education, Models
Noris Barajas Motta; Andres Chiappe; Fabiola Mabel Sáez Delgado – Journal of Research in Special Educational Needs, 2025
In the context of Education 4.0, inclusive teacher training must not only address enduring pedagogical and institutional barriers but also respond to emerging technological challenges and opportunities--particularly those posed by artificial intelligence (AI). Following PRISMA guidelines, this study presents a systematic literature review of 103…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Education, Inclusion
Yusuf Zorlu – Journal of Baltic Science Education, 2025
The increasing integration of artificial intelligence (AI) in education highlights the need to explore its impact on preservice science teachers' 21st-century teaching competencies. This study aimed to explore the role of AI-assisted question generation on preservice science teachers' 21st-century teaching competencies. Mixed-methods research…
Descriptors: Artificial Intelligence, Technology Uses in Education, Questioning Techniques, Preservice Teachers
Matt Bower; Michael Henderson; Christine Slade; Erica Southgate; Kalervo Gulson; Jason Lodge – Australian Educational Researcher, 2025
Free access to powerful generative Artificial Intelligence (AI) in schools has left educators and system leaders grappling with how to responsibly respond to the consequent challenges and opportunities that this new technology poses. This paper examines the priorities and challenges that senior Australian educational leaders identify with relation…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Educational Policy
Cui Ping; Marloes Hendrickx; Ad Kleingeld; Sonja Rispens; Shakila Sewnarain Sukul; Ruurd Taconis – European Journal of Engineering Education, 2025
International teamwork skills are becoming more and more important for future engineers. Engineering projects with diverse students working towards solving an issue together could cultivate such skills. However, social exclusion may rise when faultlines emerge: dividing lines that split a group into relatively homogeneous subgroups. This study…
Descriptors: Foreign Countries, College Students, Engineering Education, Teamwork
Ruixun Dai; Matthew Krehl Edward Thomas; Shaun Rawolle – Australian Educational Researcher, 2025
Education has always been in a state of flux because of technological disruption. As schools head towards a present in which digital technology is normalised as part of the fabric of everyday society, a post-digital paradigm, Artificial Intelligence (AI) is changing the educational administration and leadership. It is crucial to find ways to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Administration, Decision Making
Alanur Ahsen Dalyanci; Lobke Mast; Kristina Krushinskaia; Annelies Raes – OTESSA Journal, 2025
The adoption of Generative Artificial Intelligence (GenAI) has gained popularity since late 2022, sparking discussions about its role in education. An important issue is understanding teachers' perceptions of this technology, given that teachers are seen as key actors in integrating GenAI into teaching and learning processes. This qualitative…
Descriptors: Artificial Intelligence, Technology Integration, Teacher Attitudes, Technology Uses in Education

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