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Gregory J. Crowther; Merrill D. Funk; Kelly M. Hennessey; Marcus M. Lawrence – Advances in Physiology Education, 2025
Learning objectives (LOs) are a pillar of course design and execution and thus a focus of curricular reforms. This study explored the extent to which the creation and usage of LOs might be facilitated by three leading chatbots: ChatGPT-4o, Claude 3.5 Sonnet, and Google Gemini Advanced. We posed three main questions, as follows: "question…
Descriptors: Artificial Intelligence, Learning Objectives, Technology Uses in Education, Curriculum Design
Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Jung Won Hur – Information and Learning Sciences, 2025
Purpose: This study aims to investigate how preservice teachers' stages of concern, beliefs, confidence and interest in AI literacy education evolve as they deepen their understanding of AI concepts and AI literacy education. Design/methodology/approach: AI literacy lessons were integrated into a technology integration course for preservice…
Descriptors: Artificial Intelligence, Digital Literacy, Preservice Teachers, Technology Integration
Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
Potsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
Peter J. Kalenda; Logan Rath; Marium Abugasea Heidt; Allison Wright – Journal of Educational Technology Systems, 2025
This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…
Descriptors: Preservice Teachers, Teacher Attitudes, Technology Uses in Education, Synchronous Communication
Ying Wang – SAGE Open, 2025
Optimizing communication learning experiences for students is a promising development in English language education, enabled by ChatGPT-4, an artificial intelligence software that excels in customizing lessons to suit specific requirements, interests, and preferred modes of communication for each student. Given its critical role in enhancing…
Descriptors: Teaching Methods, Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education
Guozhong Luo; Wen Li; Bingqing Gong; Yukun Wu – SAGE Open, 2025
Conceptual knowledge goal (CKG) is a typical component of outcome-based learning. However, the contribution of CKG to poor readers' reading comprehension development remains unclear. Following the suggestion of the Simple View of Reading theory for the poor reader category, the current study recruited 90 poor decoders (PD), 76 poor comprehenders…
Descriptors: Reading Instruction, Instructional Effectiveness, Outcome Based Education, Reading Difficulties
Suyatno Suyatno; Dholina Inang Pambudi; Wantini Wantini; Didit Haryadi; Hendra Hendra; Rohmatus Naini – Educational Process: International Journal, 2025
Background/purpose: Generation Z (Gen Z) teachers often face problems related to low intrapersonal skills in the workplace. Although empirical evidence shows how important intrapersonal skills are in supporting Gen Z teachers, there is still limited research on the intrapersonal problems faced by these teachers. Therefore, this research aimed to…
Descriptors: Foreign Countries, Generational Differences, Junior High School Teachers, Self Concept
Jaurès S. H. Kameni; Bernabé Batchakui; Roger Nkambou – International Journal of Artificial Intelligence in Education, 2025
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to support the learner training, we propose optimizing search engines for learning contexts, to enable learners to take optimal advantage of the vast reservoir of Open Educational Resources (OER) available on…
Descriptors: Foreign Countries, Teacher Shortage, Open Educational Resources, Computer Assisted Instruction
Hao Yu; Yunyun Guo; Hailiang Yang; Weiyu Zhang; Yan Dong – European Journal of Education, 2025
In the era of accelerating globalization, the necessity for multilingual education is increasingly prominent. This study investigates the effectiveness of the AI-based chatbot ChatGPT in multilingual teaching applications. This study employs a quasi-experimental research methodology to examine the experiences of 100 international students at a…
Descriptors: Artificial Intelligence, Comparative Analysis, Multilingualism, Computer Software
Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
Merve Kasim; Yasemin Deringöl – Education and Information Technologies, 2025
The aim of this study is to investigate the impact of technology-supported mathematical modeling method on the mathematical skills of a fourth-grade student with Mathematical Learning Disabilities. The study group consists of a fourth-grade student. It was discovered that the student lacked numerical and logical skills compared to other students.…
Descriptors: Educational Technology, Technology Uses in Education, Grade 4, Mathematics Instruction
Ozkan Ergene; Busra Caylan Ergene – Education and Information Technologies, 2025
One of the aims of the present study was to reveal and compare the performance of ChatGPT versions (GPT-4o, GPT-4, and GPT-3.5), MathGPT, and Gemini in solving 390 mathematical problems in interactive mathematics e-textbooks across various dimensions. The other aim was to identify the affordances and constraints of ChatGPT through the instrumental…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Electronic Books
Dabae Lee; Taekwon Son; Sheunghyun Yeo – Journal of Computer Assisted Learning, 2025
Background: Artificial Intelligence (AI) technologies offer unique capabilities for preservice teachers (PSTs) to engage in authentic and real-time interactions using natural language. However, the impact of AI technology on PSTs' responsive teaching skills remains uncertain. Objectives: The primary objective of this study is to examine whether…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers

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