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Cindy L. James – Sage Research Methods Cases, 2025
To further my research investigating the affective skills of university students, I engaged in a longitudinal mixed-methods study that explored the emotional intelligence (EI) of law students. For this study, I collected quantitative data to measure changes in EI of law students from their first to final year in the degree program. Then I gathered…
Descriptors: Law Students, Emotional Intelligence, Student Characteristics, Student Attitudes
Ryan Hare; Ying Tang; Sarah Ferguson – IEEE Transactions on Education, 2024
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key…
Descriptors: Intelligent Tutoring Systems, Game Based Learning, Gamification, Student Attitudes
Maimoona Al Abri; Abdullah Al Mamari; Zakria Al Marzouqi – Journal of Education and e-Learning Research, 2025
This study aims to explore the implications of using AI-generative tools (tools for generative AI (GAI)) in teaching and learning practices in higher education settings. This exploratory study employs a mixed-methods approach. Data was collected through focus-group discussions, participants' reflections and questionnaires. The participants of this…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Undergraduate Students
Ece Avinç; Fatih Dogan – Journal of Interdisciplinary Studies in Education, 2025
Metaverse in education has the potential to transform education by providing students with interactive, immersive and personalized learning experiences. This study examined the impact of Metaverse on the perceptions of pre-service science teachers. The study was designed in two stages. In the first stage, semi-structured preliminary interview…
Descriptors: Preservice Teachers, Science Teachers, Technology Uses in Education, Computer Simulation
Calvin Cheah Wei Chieh; Wong Teik Aun – Journal of Educational Technology Systems, 2025
This study examines Malaysian university students' engagement with two AI-based learning tools, ChatGPT and Google Gemini, focusing on learning support, usability, and emotional responses. A qualitative case study approach was adopted, involving semi-structured interviews and a focus group with ten undergraduates from diverse disciplines at a…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Technology Uses in Education
Rebecca Marrone; Andrew Zamecnik; Srecko Joksimovic; Jarrod Johnson; Maarten De Laat – Technology, Knowledge and Learning, 2025
This article examines students' opinions regarding the use of artificial intelligence (AI) as a teammate in solving complex problems. The overarching goal of the study is to explore the effectiveness of AI as a collaborative partner in educational settings. In the study, 15 groups of grade 9 students (59 students total) were assigned a challenging…
Descriptors: Student Attitudes, Artificial Intelligence, Problem Solving, Teamwork
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
Keunjae Kim; Kyungbin Kwon – Education and Information Technologies, 2024
The popularity of artificial intelligence (AI) has highlighted the necessity of K-12 AI education, particularly at the elementary level. However, the lack of a comprehensive and age-appropriate AI curriculum integrated into school subjects, along with the abstract and complex nature of AI concepts, exacerbates student inequalities. Researchers…
Descriptors: Artificial Intelligence, Curriculum Development, Program Effectiveness, Elementary School Students
Chad P. Salyer – Online Submission, 2024
Artificial intelligence was an emergent and powerful new force in education. The public release of ChatGPT 3.0 in 2022 transformed learning for many students. This phenomenological qualitative study sought to record and analyze student's perspectives on the influence of artificial intelligence on their learning routines. This study collected data…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Undergraduate Students
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
Muna Slehat; Aseel Ajlouni; Ayman Harb; Ziad Alrawadieh; Nermin A. Khasawneh – Journal of Social Studies Education Research, 2025
In an era where technology is reshaping education, generative artificial intelligence (GenAI) has emerged as a powerful tool for transforming educational practices across disciplines. Tourism Management, as an applied field requiring a blend of conceptual, interpersonal, and technical competencies, can greatly benefit from the integration of GenAI…
Descriptors: Undergraduate Students, Technology Uses in Education, Artificial Intelligence, Affordances
Abrar H. Alsofyani; Amal M. Barzanji – Journal of Educational Computing Research, 2025
Corrective feedback plays a critical role in enhancing writing skills among English as a Foreign Language (EFL) learners, but large class sizes often hinder the provision of personalized feedback. Generative AI tools such as ChatGPT have emerged as promising solutions that offer immediate and individualized feedback for writing. This study…
Descriptors: Feedback (Response), Artificial Intelligence, English (Second Language), Second Language Learning
Jung Colen – International Journal of Education in Mathematics, Science and Technology, 2025
This study delves into teacher candidates' (TCs) perspectives, particularly in secondary mathematics and science education. Through qualitative analysis of survey data and essays from 17 TCs across two institutions, including 9 STEM education major TCs (math and science TCs), and 8 non-STEM TCs, diverse attitudes towards AI integration emerge. Our…
Descriptors: Preservice Teachers, Student Attitudes, Artificial Intelligence, Secondary Education
Amie J. Dirks-Naylor – Advances in Physiology Education, 2025
Artificial intelligence (AI) tools like ChatGPT offer new opportunities to enhance student learning through active recall and self-directed inquiry. This study aimed to determine student perceptions of a classroom assignment designed to develop proficiency in using ChatGPT for these strategies. First-semester Doctor of Pharmacy students in a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Recall (Psychology), Inquiry
Osman Sirajeldeen Ahmed; Mohd. Elmagzoub Eltahir; Asma Sirageldin Ahmed; Elsayed Mohamed Abd alrahman; Amina Alameeri – Educational Process: International Journal, 2025
Background/purpose: This study explores the use of Artificial Intelligence (AI) technology on college academic outcomes among students in the College of Humanities and Sciences at a large research university in the United Arab Emirates, focusing on students taking a sociology course. With the growing incorporation of AI in educational settings,…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Academic Achievement

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