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Hyewon Jang; Hyukjoon Choi – Journal of Science Education and Technology, 2025
Recent advances in generative artificial intelligence are expected to change jobs and education dramatically. This study explores Korean physics educators' perceptions of the educational use of ChatGPT and future changes in society and the educational environment. For this purpose, semi-structured interviews were conducted with ten Korean physics…
Descriptors: Science Education, Physics, Science Teachers, Teacher Attitudes
Yang Zhang; Yangping Li; Weiping Hu; Huizhi Bai; Yuanjing Lyu – Journal of Science Education and Technology, 2025
Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…
Descriptors: Eye Movements, Artificial Intelligence, Creativity, Scientific Concepts
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Silvia García-Méndez; Francisco de Arriba-Pérez; María del Carmen Somoza-López – Science & Education, 2025
Transformer architectures contribute to managing long-term dependencies for natural language processing, representing one of the most recent changes in the field. These architectures are the basis of the innovative, cutting-edge large language models (LLMs) that have produced a huge buzz in several fields and industrial sectors, among the ones…
Descriptors: Natural Language Processing, Artificial Intelligence, Literature Reviews, Technology Uses in Education
Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
Ridwan Whitehead; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2025
Incorporating non-verbal data streams is essential to understanding the dynamics of interaction within collaborative learning environments in which a variety of verbal and non-verbal modes of communication intersect. However, the complexity of non-verbal data -- especially gathered in the wild from collaborative learning contexts -- demands…
Descriptors: Case Studies, Nonverbal Communication, Video Technology, Data Analysis
Blasius Erik Sibarani – Turkish Online Journal of Distance Education, 2025
As a result of the COVID-19 pandemic, the approach to learning in education has transitioned from traditional to online (distance learning). It is undeniable that distance education has become a new approach to learning. In the past decade, many institutions have offered distance learning approaches. However, the effectiveness of distance…
Descriptors: Artificial Intelligence, Distance Education, Learner Engagement, Program Effectiveness
Sevan Nart – Turkish Online Journal of Educational Technology - TOJET, 2025
Research has indicated that the ever-changing emerging technologies have different impacts on music education from many perspectives such as; music pedagogy, instruction methods, evaluation approaches. For almost 30 years the online learning and education platforms based on Artificial Intelligence (AI) provides both teachers and students with rich…
Descriptors: Music Education, Artificial Intelligence, Educational Technology, Technology Uses in Education
Daniel R. Bailey; Andrea Lee; Hanrui He; John McConnell; Dava R. Wilson; Kakali B. Chakrabarti – Turkish Online Journal of Educational Technology - TOJET, 2025
This study examines Grammarly's utility as a writing assistant for enhancing higher education students' writing skills. University writing centers and classroom settings now incorporate Grammarly as a resource for writing assistance and there is a need to understand how students view its use and its link to help-seeking behavior. 476 university…
Descriptors: Educational Technology, Technology Uses in Education, Grammar, Writing (Composition)
Ankit Dhamija; Deepika Dhamija – Journal of Interdisciplinary Studies in Education, 2025
The rapid integration of AI in education has transformed instructional methodologies and administrative tasks. However, higher education teachers face challenges in creating quality assignments amidst increasing administrative burdens. This study investigates the potential of AI, specifically ChatGPT, in streamlining assignment creation. By…
Descriptors: College Faculty, Teacher Attitudes, Computer Attitudes, Artificial Intelligence
Abbas Bodaubekov; Shakhrizat Agaidarova; Talgat Zhussipbek; Davronzhon Gaipov; Nuri Balta – Contemporary Educational Technology, 2025
This study investigates the effectiveness of feedback provided by teachers versus feedback generated by the Write & Improve platform in enhancing the writing skills of senior undergraduate students enrolled in a "two foreign language" program at a private university in Kazakhstan. The quasi-experimental design involved four teachers,…
Descriptors: Artificial Intelligence, Feedback (Response), Writing Skills, Undergraduate Students
Clayton Cohn; Caitlin Snyder; Joyce Horn Fonteles; Ashwin T. S.; Justin Montenegro; Gautam Biswas – British Journal of Educational Technology, 2025
Recent advances in generative artificial intelligence (AI) and multimodal learning analytics (MMLA) have allowed for new and creative ways of leveraging AI to support K12 students' collaborative learning in STEM+C domains. To date, there is little evidence of AI methods supporting students' collaboration in complex, open-ended environments. AI…
Descriptors: Cooperation, Researchers, Artificial Intelligence, STEM Education
Tatiana Diebold; Ann-Kathrin Jaggy; Sonja Perren – Infant and Child Development, 2025
The development of emotional competence is an important milestone during early childhood. Beyond early experience within the family, the (preschool) classroom is a relevant socialisation context, and both teachers and peers may contribute to children's emotion-related outcomes. Tracking changes in the emotion regulation competence of N = 173…
Descriptors: Preschool Children, Preschool Education, Preschool Teachers, Socialization
Xiaohua Liu; Yangyu Xiao – Education and Information Technologies, 2025
The bulk of recent research on generative AI (GenAI) in education mainly focused on its potential pedagogical uses as well as how students actually exploit such tools during learning, while little has been done to systematically investigate how teachers integrate those tools in different parts of their teaching process. To bridge this gap, the…
Descriptors: College Faculty, Foreign Countries, Artificial Intelligence, Second Language Instruction
Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development

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