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Florence Gabriel; JohnPaul Kennedy; Rebecca Marrone; Simon Leonard – npj Science of Learning, 2025
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Sumanth P. Desai; M. M. Munshi; Sanjay V. Hanji; Chakradhar Pabba – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study investigates the relationship between time of class and the academic performance of Master of Business Administration (MBA) students with 'group engagement' serving as the moderator. Notably, 'group engagement' is measured using a novel computer vision-based deep learning approach. Background: Generally, the first year of…
Descriptors: Business Education, Business Administration, Graduate Students, Cooperative Learning
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Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
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Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Hetian Yu; Qin Xie – Language Teaching Research Quarterly, 2025
Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Revision (Written Composition)
Mahmoud Mohammad Sayed Abdallah – Online Submission, 2025
This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…
Descriptors: Models, Artificial Intelligence, Second Language Learning, Learning Theories
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Azeezah Jafry; Jessica Vorstermans – New Directions for Teaching and Learning, 2025
In this article, we investigate the critical intersections of AI, academic integrity, and disability in the context of a large undergraduate course. Our aim was to adapt the course to respond to generative AI (GenAI) to avoid entrenching barriers for students, and instead teach them how to use GenAI tools in ways that deepen their learning and…
Descriptors: Intersectionality, Artificial Intelligence, Students with Disabilities, Undergraduate Students
Aaron Blackwelder; Jason Cowley – Corwin, 2025
Artificial intelligence (AI) is here and seems on the brink of transforming education. As teachers, we know that AI will not diminish the need for students to learn essential skills. It will, however, change how we teach and will require us to develop new skill sets for instruction and assessment. Teachers have a new opportunity--to embrace…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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Topeka Small Singleton – IGI Global, 2025
Accountability in higher education has become a critical issue as higher education institutions face scrutiny over student outcomes, financial transparency, and the value of a college degree. As the cost of tuition is on the rise and student debt growing, the concerns on equitability and the concerns of student engagement have left many in the…
Descriptors: Accountability, Higher Education, Educational Trends, Educational Benefits
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Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
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Yuxia Ma – European Journal of Education, 2025
The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Xieling Chen; Haoran Xie; S. Joe Qin; Fu Lee Wang; Yinan Hou – European Journal of Education, 2025
Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…
Descriptors: Artificial Intelligence, Learner Engagement, Technology Uses in Education, Electronic Learning
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Chenghao Wang; Xueyun Li; Bin Zou – European Journal of Education, 2025
Research on the factors influencing the acceptance of GenAI in language learning has expanded widely; however, few studies have focused on the role of language learning emotions. To enhance the effectiveness of GenAI-powered English-speaking instruction and the learning experience, this study expands on the Integrated Model of Technology…
Descriptors: Technology Uses in Education, Technology Integration, Artificial Intelligence, Second Language Learning
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Gifty Edna Anani; Ernest Nyamekye; Daniel Bafour-Koduah – Discover Education, 2025
This research explores postgraduate students' attitudes and use of Artificial Intelligence (AI) tools in academic writing, using the Theory of Planned Behavior (TPB). Guided by the mixed method approach, quantitative and qualitative measures like questionnaires and interviews were adopted to gather data from postgraduate students. Descriptive…
Descriptors: Artificial Intelligence, Student Attitudes, Academic Language, Universities
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