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Ryusei Munemura; Fumiya Okubo; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada – International Association for Development of the Information Society, 2024
Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…
Descriptors: Curriculum Development, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Jeya Amantha Kumar; Min Zhuang; Stephen Thomas – Natural Sciences Education, 2024
Chat Generative Pre-Trained Transformer (ChatGPT) has emerged as a powerful artificial intelligence (AI) tool with an aptitude to transform course design in higher education significantly. While ChatGPT's applications in education are substantially growing, its role in natural sciences, particularly in course planning and content generation among…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Natural Sciences
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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
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Kyle Kohler – Technology in Language Teaching & Learning, 2024
ChatGPT, a generative AI program developed by OpenAI, has raised serious questions about the future of education since its launch in November 2022. This paper argues that ChatGPT has the potential to redefine existing educational theories and the role of teachers in language education. Specifically, the paper examines ChatGPT's impact on language…
Descriptors: Technology Uses in Education, Natural Language Processing, Educational Change, Language Teachers
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Adam Keath; James Wyant; Brooke Towner – Journal of Physical Education, Recreation & Dance, 2024
AI tools can revolutionize physical education (PE) by assisting teachers in various ways, such as curriculum development, providing feedback, enhancing content knowledge and data analysis, and promoting student engagement. This article explores various ways in which PE teachers can utilize AI tools like ChatGPT to improve their instruction and…
Descriptors: Physical Education, Physical Education Teachers, Technology Uses in Education, Artificial Intelligence
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Zuzana Suchánová – International Society for Technology, Education, and Science, 2023
The expanding domain of Artificial Intelligence (AI) offers a diverse array of educational applications and tools. However, the scholarly exploration of AI's suitability for enhancing English as a Foreign Language (EFL) instruction at the university level remains notably limited. This research gap impedes educators from fully harnessing AI's…
Descriptors: Artificial Intelligence, Preservice Teachers, English (Second Language), Second Language Instruction
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Sheri Conklin; Tom Dorgan; Daisyane Barreto – Discover Education, 2024
We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master's level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise…
Descriptors: Design, Technology Uses in Education, Artificial Intelligence, Instructional Design
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Michal Bobula – Journal of Learning Development in Higher Education, 2024
This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their…
Descriptors: Artificial Intelligence, Information Technology, Natural Language Processing, Literature Reviews
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Sterrett, Kyle; Freeman, Stephanny; Hayashida, Kristen; Kim, Joanne J.; Paparella, Tanya – Young Exceptional Children, 2023
Preverbal communication means any social behavior that occurs before children communicate verbally. Generally, these communicative behaviors are categorized into two ways: as behavior regulation (BR) or joint attention (JA) skills. BR, also referred to as requesting, involves the use of behaviors to gain something or receive assistance (Mundy et…
Descriptors: Verbal Communication, Intervention, Behavior Development, Natural Language Processing
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Soares, Diana; Carvalho, Paula; Dias, Diana – International Journal of Art & Design Education, 2020
New and flexible educational paradigms, based on creative, innovative and open-minded competences, are required in the development of curricula in design, working as an essential skill toolkit for future designers, particularly in higher education. This study aims to explore how learning outcomes, usually expressed by the knowledge, skills,…
Descriptors: Foreign Countries, Outcomes of Education, Design, Curriculum Development
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Kolleck, Nina; Yemini, Miri – Journal of Environmental Education, 2020
Intergovernmental organizations (IOs) increasingly promote global citizenship education (GCE) and related topics. This paper analyses the body of scholarship on GCE that focuses on teachers and interprets the development of environment-related education (ERE) within the GCE discourse. Using a novel, data-rich methodology employing Natural Language…
Descriptors: Citizenship Education, Environmental Education, Global Approach, Social Networks
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West, Jason – Curriculum Journal, 2017
Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…
Descriptors: Curriculum Development, Validity, Data Analysis, Interdisciplinary Approach