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Kok-Sing Tang; Grant Cooper – Science & Education, 2025
The introduction of generative artificial intelligence (GenAI) tools like ChatGPT has raised many challenging questions about the nature of teaching, learning, and assessment in every subject area, including science. Unlike other disciplines, natural science is unique because the ontological and epistemological understanding of nature is…
Descriptors: Science Education, Artificial Intelligence, Physical Environment, Realism
Yin Zhang; Menglong Zhang; Liming Wu; Jin Li – Science & Education, 2025
Rapid advancements in the information age have prompted significant digitalization in global higher education, with Chinese higher education particularly adapting to the influence of artificial intelligence. This study focuses on the digital transformation in China's higher education, specifically within AI-assisted engineering education. It…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Computer Assisted Instruction
Gyeong-Geon Lee; Seonyeong Mun; Myeong-Kyeong Shin; Xiaoming Zhai – Science & Education, 2025
This research aims to demonstrate that artificial intelligence (AI) can function not only as a tool for learning, but also as an intelligent agent with which humans can engage in collaborative learning (CL) to change epistemic practices in science classrooms. We adopted a design and development research approach, following the Analysis, Design,…
Descriptors: Artificial Intelligence, Cooperative Learning, Science Instruction, Preservice Teachers
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
Barbara Brown; Soroush Sabbaghan – Canadian Journal of Action Research, 2025
In this study, we aimed to examine graduate students' experience when working with peers to complete a learning task focused on conducting a program evaluation in a qualitative research course. A generative artificial intelligence (GenAI)-powered platform was incorporated to support an experiential learning activity designed by the…
Descriptors: Artificial Intelligence, Interviews, Research Methodology, Graduate Students
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
Julia B. Barrón-Martínez; Judith Salvador-Cruz – Journal of Intellectual & Developmental Disability, 2025
Background: The aim was to explore the executive function profile of a group of Mexican people with Down syndrome (DS) aged 12-30 years during the COVID-19 pandemic. Aim: To analyse the relationships between mental, chronological age and eight domains of executive function. Method: Participants were 42 people with DS with a chronological age (CA)…
Descriptors: Executive Function, Down Syndrome, COVID-19, Pandemics
Andri Nirwana An; Fauziyah Qurrota A’yun Tamami; Zainora Daud; Norsaleha Mohd Salleh; Mohamad Haeqal bin Ishak; Muthoifin Muthoifin – Educational Process: International Journal, 2025
Background/purpose: Recent developments in information and communication technology have opened up many new opportunities in various research fields, including religious studies (Burton, 2020). One of the most notable innovations was integrating artificial intelligence and deep learning in religious studies, including Quranic education and…
Descriptors: Artificial Intelligence, Religious Education, Islam, Educational Technology
Rahyuni Melisa; Ashadi Ashadi; Anita Triastuti; Sari Hidayati; Achmad Salido; Priska Efriani Luansi Ero; Cut Marlini; Zefrin Zefrin; Zaki Al Fuad – Educational Process: International Journal, 2025
Background: Artificial Intelligence has become an invaluable tool in academia, offering instant feedback, personalized learning experiences, and support for various academic tasks. This study investigates the impact of ChatGPT, an AI-driven language model, on developing critical thinking, evaluation, and independent judgment skills among higher…
Descriptors: Critical Thinking, Artificial Intelligence, Influence of Technology, Higher Education
Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
Chengming Zhang; Min Hu; Weidong Wu; Farrukh Kamran; Xining Wang – Education and Information Technologies, 2025
Artificial intelligence (AI) integration in education has grown significantly recently. However, the potential risks of AI have led to educators being wary of implementing AI systems. To discover whether AI systems can be effective in the classroom in the future, it is critical to understand how risk factors (e.g., perceived safety risks,…
Descriptors: Foreign Countries, Artificial Intelligence, Trust (Psychology), Preservice Teachers
Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
Yael Feldman-Maggor; Ron Blonder; Giora Alexandron – Journal of Science Education and Technology, 2025
Artificial intelligence (AI) has made remarkable strides in recent years, finding applications in various fields, including chemistry research and industry. Its integration into chemistry education has gained attention more recently, particularly with the advent of generative AI (GAI) tools. However, there is a need to understand how teachers'…
Descriptors: Chemistry, Science Instruction, Technological Literacy, Pedagogical Content Knowledge
Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response

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