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Karrenbauer, Christin; Brauner, Tim; König, Claudia M.; Breitner, Michael H. – Educational Technology Research and Development, 2023
The growing number of students in higher education institutions, along with students' diverse educational backgrounds, is driving demand for more individual study support. Furthermore, online lectures increased due to the COVID-19 pandemic and are expected to continue, further accelerating the need for self-regulated learning. Individual digital…
Descriptors: Design, Development, Evaluation, Higher Education
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Habeeb Yusuf; Arthur Money; Damon Daylamani-Zad – Educational Technology Research and Development, 2025
The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
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Kaili Lu; Jianrong Zhu; Feng Pang; Rustam Shadiev – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…
Descriptors: College Students, Artificial Intelligence, Digital Literacy, Thinking Skills
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Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
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Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
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Yen-Fen Lee; Gwo-Jen Hwang; Pei-Ying Chen – Educational Technology Research and Development, 2025
Self-regulated learning (SRL) is an approach to learning which aims to improve learners' learning outcomes. In the SRL cycle, the quality of students' reflections is a critical factor in SRL performance that can improve learning outcomes. The feedback provided by teachers often has a significant impact on the quality of students' reflections.…
Descriptors: Independent Study, Reflection, Feedback (Response), Artificial Intelligence
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Álvarez-Álvarez, Carmen; Falcon, Samuel – Educational Technology Research and Development, 2023
University teaching practices impact student interest, engagement, and academic performance. This paper presents a study that uses artificial intelligence (AI) to examine students' preferences for university teaching practices. We asked students in various fields open-ended questions about the best teaching practices they had experienced. Due to…
Descriptors: College Students, Preferences, Teaching Methods, Artificial Intelligence
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Jingwen Sun; Qing Wu; Zhiji Ma; Wennan Zheng; Yongbin Hu – Educational Technology Research and Development, 2025
Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…
Descriptors: Preservice Teachers, Artificial Intelligence, Student Attitudes, Technology Uses in Education
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Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
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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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Kamelia Sepanloo; Daniel Shevelev; Md Tariqul Islam; Young-Jun Son; Shravan Aras; Janine E. Hinton – Educational Technology Research and Development, 2025
Integrating Mixed Reality (MR) into nursing education and professional practice has recently captured significant interest as a transformative approach. This paper presents a comprehensive exploration and practical insights into designing and implementing an advanced MR training platform to provide nursing students with immersive experiences…
Descriptors: Nursing Education, Educational Improvement, College Faculty, Pilot Projects
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Lu, Hong; Wang, Yue; Wu, Xiu-yuan; Lu, Xiao-feng; Liu, Xing-bo – Educational Technology Research and Development, 2023
The current study aimed to measure preservice teachers' skills in implementing pedagogical model of collaborative problem solving (CPS) using a more advanced and novel human-to-agent computerized assessment instrument. By doing so, a framework with three major skills in the implementation of CPS and four major individual problem-solving processes…
Descriptors: Preservice Teachers, Cooperative Learning, Problem Solving, Artificial Intelligence
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Xiaoyan Chu; Minjuan Wang; Jonathan Michael Spector; Nian-Shing Chen; Ching Sing Chai; Gwo-Jen Hwang; Xuesong Zhai – Educational Technology Research and Development, 2025
The Flipped Classroom Model (FCM) has gained widespread acceptance in higher education as an effective pedagogical strategy. Despite its success, the FCM still faces persistent concerns, including a lack of personalized interaction, limited application to introductory courses, and insufficient analysis of the learning process. The integration of…
Descriptors: Flipped Classroom, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Jan Delcker; Joana Heil; Dirk Ifenthaler – Educational Technology Research and Development, 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools
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