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Ernest Opoku; Dominic Owusu; Francis Arthur; Iddrisu Salifu; Emmanuel Quayson; Eric Boateng; Francis Obeng Gyedu; Stanley Asare-Bediako; Emmanuel Rungson Attom; Solomon Adjatey Tetteh; Sharon Abam Nortey; Ayishatu Ameen – Discover Education, 2025
The evolving landscape of higher education requires a better understanding of students' cognitive strengths, especially in complex disciplines such as Economics where multiple approaches to problem solving are essential. This study explored students' multiple intelligences (MI) approach to learning Economics and examined gender differences in the…
Descriptors: College Students, Profiles, Multiple Intelligences, Economics Education
Hyunkyung Chee; Solmoe Ahn; Jihyun Lee – British Journal of Educational Technology, 2025
This study aims to develop a comprehensive competency framework for artificial intelligence (AI) literacy, delineating essential competencies and sub-competencies. This framework and its potential variations, tailored to different learner groups (by educational level and discipline), can serve as a crucial reference for designing and implementing…
Descriptors: Competence, Digital Literacy, Artificial Intelligence, Technology Uses in Education
Stefania Capogna; Sara Pellegrini; Riccardo Sebastiani – European Journal of Education, 2025
The article explores the importance of university students' knowledge of the world as an essential prerequisite for facing digital, ecological and human transitions. A study of 50 third-year students of primary education sciences investigates (a) familiarity with reflection during learning; (b) the influence of artificial intelligence in the…
Descriptors: Artificial Intelligence, Professionalism, Influence of Technology, Education Majors
Liangliang Xia; Kexin Shen; Herui Sun; Xin An; Yan Dong – Education and Information Technologies, 2025
While generative artificial intelligence (AI) empowers students in their learning, it may also have the potential to undermine their learning agency. Understanding student learning agency in the generative AI-supported contexts (SLA-GAI) has become critical for educators. However, student learning agency is a domain-specific construct, current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
Anni Silvola; Anu Kajamaa; Joonas Merikko; Hanni Muukkonen – British Journal of Educational Technology, 2025
Despite a proliferation of research on generative artificial intelligence (GenAI) and its applications in higher education (HE), our understanding of the transformative processes where students create productive and ethically grounded uses of GenAI and how AI mediates students' sensemaking is still limited. Based on an empirical investigation of…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Learning Processes
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Yung-Hsiang Hu – Education and Information Technologies, 2025
Flipped classroom pedagogy, primarily focused on in-person classroom settings, emphasizes pre-class independent learning where students engage asynchronously with online materials and self-assessments. However, traditional pre-class learning methods, such as watching pre-recorded instructional videos and completing multiple-choice…
Descriptors: Asynchronous Communication, Learning Processes, Flipped Classroom, Artificial Intelligence
Guido Makransky; Ban M. Shiwalia; Tue Herlau; Steven Blurton – Educational Psychology Review, 2025
Generative artificial intelligence (GenAI) has emerged as a transformative tool in education, offering scalable individualized learning. However, there is a lack of theoretically informed and methodologically rigorous research on how GenAI can effectively augment learning. This manuscript addresses this gap by investigating the potential of a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Processes, College Students
Jinhee Kim; Rita Detrick; Seongryeong Yu; Yukyeong Song; Linda Bol; Na Li – Education and Information Technologies, 2025
Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Cooperative Learning
Mengmeng Zhang; Xiantong Yang – Education and Information Technologies, 2025
Using information technology tools for academic help-seeking among college students has become a popular trend. In the evolutionary process between Generative Artificial Intelligence (GenAI) and traditional search engines, when students face academic challenges, do they tend to prefer ChatGPT, or are they more inclined to utilize Google? And what…
Descriptors: Web Sites, Artificial Intelligence, Synchronous Communication, Computer Software
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Nagwa Yousif; Enaam Youssef; Salah Gad – European Journal of Education, 2025
The main purpose of this article is to investigate the prospects of using AI in the education of social workers and social work in general. The research methodology encompassed both pre-test and post-test assessments administered for closed examinations across five academic disciplines, all of which were instructed through the utilisation of the…
Descriptors: Artificial Intelligence, Social Work, Professional Education, College Students
Hassan Hessari; Ankit Agarwalla; Mohammad Bai; Morteza Vahedian; Ali Bai – International Journal on E-Learning, 2025
This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Learning Processes
Embracing Artificial Intelligence to Improve Self-Directed Learning: A Cybersecurity Classroom Study
Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security

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