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Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
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Kangkang Li; Jiaming Lan; Yongbin Hu – Educational Technology Research and Development, 2025
To investigate the potential of GPT-4.0 feedback to substitute teacher feedback in flipped classrooms, we conducted research that GPT-4.0 and a course teacher provided cognitive, praise, and mitigating feedback weekly via a course discussion platform, respectively. At the end of each topic, 89 third-year university students majoring in Educational…
Descriptors: Comparative Analysis, Artificial Intelligence, Feedback (Response), Questioning Techniques
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Yi-Ning Kelly Huang; Matthias Winfried Kleespies; Liu Shiang-Yao – Biochemistry and Molecular Biology Education, 2025
Artificial intelligence (AI) in biomedicine has gained significant attention, and its fusion with biology offers exciting possibilities. Understanding students' perspectives on AI is crucial for developing appropriate lessons. This study surveyed biology undergraduates and postgraduates in Taiwan (n = 71) and Germany (n = 51) to explore their…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Biomedicine
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Zi Yang; Junjie Gavin Wu; Haoran Xie – Asia Pacific Journal of Education, 2025
The emergence of generative artificial intelligence (GAI) in the past two years is exerting profound effects throughout society. However, while this new technology undoubtedly promises substantial benefits, its disruptive nature also means that it poses a variety of challenges. The field of education is no exception. This position paper intends to…
Descriptors: Artificial Intelligence, Ethics, Technology Uses in Education, Natural Language Processing
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Efren de la Mora Velasco; Matthew Moreno – Educational Technology Research and Development, 2025
The measurable effects of music in online learning remains a topic of extensive debate, largely due to inconsistent findings within existing literature. Many of these inconclusive results stem from research methodologies that focus on singular perspectives, often overlooking a balance between cognitive challenges and emotional benefits of…
Descriptors: Music, Acoustics, Electronic Learning, Cognitive Processes
I. Picton; C. Clark – National Literacy Trust, 2025
This report aims to update and broaden the understanding of teachers' experiences of teaching reading and writing as the capabilities of generative AI expand and improve. As part of ongoing research considering what it means to be literate in the digital age, the National Literacy Trust have been exploring how generative AI tools might influence,…
Descriptors: Foreign Countries, Artificial Intelligence, Teachers, Literacy Education
Irene Picton; Christina Clark; Francesca Bonafede – National Literacy Trust, 2025
In 2025, National Literacy Trust wanted to increase their understanding of how generative AI tools might be beginning to influence what it means to be literate in the digital age. National Literacy Trust first asked children and young people about their awareness and use of generative AI platforms in their Annual Literacy Survey in early 2023,…
Descriptors: Foreign Countries, Artificial Intelligence, Literacy Education, Digital Literacy
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Susana H. Hernández; Z. W. Taylor; Guillermo Ortega – Community College Review, 2025
Objective/Research Questions: Extending Garcia's notion of "servingness," our study explored the prevalence and usability of artificially intelligent (AI) chatbots within all 234 HSI community colleges according to the most recent HACU list. The research questions for our study are: (a) Do HSI community colleges embed artificial…
Descriptors: Hispanic American Students, Minority Serving Institutions, Artificial Intelligence, Technology Uses in Education
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Gökhan Uyanik – European Journal of Education, 2025
This study presents a bibliometric analysis of 1995 peer-reviewed articles on the use of technology in primary science education published in the Web of Science between 1974 and April 2025. It explores publication trends, citation structures, author collaborations, thematic patterns, and international networks. Results show an annual average of…
Descriptors: Science Education, Educational Technology, Technology Uses in Education, Citations (References)
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Tünde Barabási – Acta Didactica Napocensia, 2025
Artificial intelligence is infiltrating our lives and is also gaining ground in education. Failing to acknowledge its presence in higher education, in particular, would be ostrichism. There is a growing body of research on AI in higher education discussing its modes of use and regulatory aspects (Rajki, Nagy & Dingó, 2024; Horváth, 2024;…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teacher Education, Preservice Teachers
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Christine E. King; Beth A. Lopour – Biomedical Engineering Education, 2025
Challenge: In engineering classrooms, generative artificial intelligence (AI) tools, such as ChatGPT, can supplement traditional teaching methods and have the potential to improve learning outcomes. However, there are also significant drawbacks, including the possibility of over-reliance on the tools and the hindrance of critical thinking, which…
Descriptors: Critical Thinking, Artificial Intelligence, Technology Uses in Education, Concept Formation
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José Ventura-León; Cristopher Lino-Cruz; Shirley Tocto-Muñoz; Andy Rick Sánchez-Villena – Journal of Psychoeducational Assessment, 2025
Academic and occupational success requires social intelligence, the ability to comprehend, and manage interpersonal connections. This research aims to assess and improve the Tromsø Social Intelligence Scale (TSIS) for Peruvian university students, focusing on cultural adaptability, reliability, and validity. Participants included 973 university…
Descriptors: Factor Analysis, Intelligence Tests, Test Items, Test Length
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Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence
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Conrad Borchers; Jiayi Zhang; Hendrik Fleischer; Sascha Schanze; Vincent Aleven; Ryan S. Baker – Journal of Educational Data Mining, 2025
Think-aloud protocols are a standard method to study self-regulated learning (SRL) during learning by problem-solving. Advances in automated transcription and large language models (LLMs) have automated the transcription and labeling of SRL in these protocols, reducing manual effort. However, while effective in many emerging applications, previous…
Descriptors: Artificial Intelligence, Protocol Analysis, Learning Strategies, Classification
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Elsa Morgado; Levi Leonido; Antonino Pereira; Luís Borges Gouveia – Educational Process: International Journal, 2025
Background/purpose: Artificial Intelligence (AI) and distance learning (EaD) have profoundly transformed education, redefining teaching methodologies and learning dynamics. When integrated into educational environments, these technologies facilitate equitable access to knowledge, enable personalized learning, and enhance pedagogical flexibility.…
Descriptors: Educational Technology, Technology Uses in Education, Distance Education, Artificial Intelligence
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