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Darius Hennekeuser; Daryoush Daniel Vaziri; David Golchinfar; Dirk Schreiber; Gunnar Stevens – International Journal of Artificial Intelligence in Education, 2025
Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…
Descriptors: Lecture Method, College Instruction, Higher Education, College Faculty
Smitha S. Kumar; Michael A. Lones; Manuel Maarek; Hind Zantout – ACM Transactions on Computing Education, 2025
Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…
Descriptors: Automation, Computer Science Education, Programming, Feedback (Response)
Halim Acosta; Seung Lee; Haesol Bae; Chen Feng; Jonathan Rowe; Krista Glazewski; Cindy Hmelo-Silver; Bradford Mott; James C. Lester – International Journal of Artificial Intelligence in Education, 2025
Understanding students' multi-party epistemic and topic based-dialogue contributions, or how students present knowledge in group-based chat interactions during collaborative game-based learning, offers valuable insights into group dynamics and learning processes. However, manually annotating these contributions is labor-intensive and challenging.…
Descriptors: Game Based Learning, Artificial Intelligence, Technology Uses in Education, Cooperative Learning
Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – ACM Transactions on Computing Education, 2025
The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…
Descriptors: Artificial Intelligence, Middle School Students, High School Students, Computer Science Education
Nuru-Deen Mohammed – Online Submission, 2025
This article examines the application of Quality management principles to learning in the age of AI and digital transformation. The traditional model is considered to be inadequate in coping with modern challenges associated with AI deployment due to concerns of privacy, transparency, and measurement of outcomes. A conceptual model that is…
Descriptors: Total Quality Management, Artificial Intelligence, Technology Uses in Education, Ethics
Hunhui Na; K. Bret Staudt Willet; Hui Shi; Jaesung Hur; Dan He; Chaewon Kim – Journal of Research on Technology in Education, 2025
Generative AI tools, like ChatGPT, have ignited global discussions and debates about potential educational impacts. By examining initial reactions to ChatGPT shared in online spaces, this study aims to deepen understanding of opportunities and concerns related to integrating such tools into education. With the keyword "chatgpt," we…
Descriptors: Discourse Analysis, Artificial Intelligence, Social Media, Computer Mediated Communication
Weipeng Shen; Xiao-Fan Lin; Jiachun Liu; Xinxian Liang; Ruiqing Chen; Xiaoyun Lai; Xinwen Zheng – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student--AI collaboration in higher…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
Fan Xu; Ana-Paula Correia – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is an essential skill for preparing the younger generation to succeed in an AI-driven world, with pair programming emerging as a widely used approach to foster these skills. However, the role of individual factors and mutual engagement in shaping CT skills within pair programming remains underexplored,…
Descriptors: Computation, Thinking Skills, Learner Engagement, Middle School Students
Ece Ceren Özer; Aleyna Özdemir; Feyza Ünsal; Semra Benzer – Science Insights Education Frontiers, 2025
This qualitative case study explored graduate students' views (n=6) on AI-supported applications and an AI-enabled blockbased coding tool (PictoBlox) in science education. Data were gathered over a 39-hour implementation via a semi-structured interview form and screen captures from the activities, and analyzed with content analysis. Participants…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Hui Yang; Selin Capan – SRI International, 2025
SRI Education researchers conducted an expert interview series, engaging a diverse group of researchers and practitioners in meaningful conversations about AI literacy in K-12. Drawing from these in-depth interviews with qualitative analysis, this report uncovers key themes that reveal the current state of AI literacy in K-12, the challenges we…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Technology Uses in Education, Barriers
Paraskevi Topali; Carla Haelermans; Inge Molenaar; Eliane Segers – British Educational Research Journal, 2025
The introduction of artificial intelligence (AI) into education holds promise for supporting and augmenting teaching and learning-related activities. Yet, despite its potential, there is limited empirical research on the use of AI in K-12 settings exploring the pedagogical grounding, impact and implications of the technological solutions. The…
Descriptors: Literature Reviews, Artificial Intelligence, Automation, Elementary Secondary Education
Krishna Mohan Surapaneni – Advances in Physiology Education, 2025
As artificial intelligence (AI) is becoming more integrated into the field of healthcare, medical students need to learn foundational AI literacy. Yet, traditional, descriptive teaching methods of AI topics are often ineffective in engaging the learners. This article introduces a new application of cinema to teaching AI concepts in medical…
Descriptors: Undergraduate Students, Medical Students, Artificial Intelligence, Teaching Methods
Damien S. K. Samways; Lara Yousef; Scott A. Sheffield – Advances in Physiology Education, 2025
Although interactive software has long been employed to complement traditional lecture and laboratory classes, instructors have typically been limited to premade programs produced by others with significant programming experience. Furthermore, many existing programs have limited platform cross-compatibility, with few compatible with the most…
Descriptors: Physiology, Pharmacology, Programming, Technology Uses in Education
Arcadio de Jesús Cardona-Isaza; Remedios González-Barrón; Angela Trujillo; Inmaculada Montoya-Castilla – International Journal of Emotional Education, 2025
Research has shown that emotional intelligence programmes can help improve adolescents' mental health, well-being, and behaviour. Although they are primarily applied in the school context, such programmes can also be adapted to specific populations. The aim of this study was to determine the effectiveness of an emotional intelligence programme for…
Descriptors: Emotional Intelligence, Intervention, Adolescents, Well Being
Yufeng Qian; Ragia Hassan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
Over the past few decades, technology-enhanced learning has positioned instructional design as a crucial catalyst for academic innovation within higher education. The emergence and rapid integration of artificial intelligence (AI) are now reshaping instructional design practices. This review study reveals a rapidly expanding ecosystem of AI tools…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Higher Education

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