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Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
Wenqiang Dai; Qiongyao Liu; Yuemin Gao; Wenjing Liu; Shaojuan Ouyang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional curriculum design methods suffer from issues like outdated content and limited instructional approaches. To address these, this article proposes an optimized curriculum design system that integrates CAD and neural network models. This system enables intelligent curriculum content generation, introduces CAD-assisted instructional…
Descriptors: Curriculum Design, Computer Assisted Design, Artificial Intelligence, Computer Uses in Education
Emmanuel Dumbuya – Online Submission, 2025
Artificial Intelligence (AI) is revolutionizing industries, yet its integration into education remains underutilized. This paper advocates for embedding AI tools in curriculum design to personalize learning experiences, address diverse student needs, and equip learners with future-ready skills. By leveraging AI's capabilities, educators can create…
Descriptors: Artificial Intelligence, Curriculum Design, Individualized Instruction, Technology Uses in Education
Dagmar Mercedes Heeg; Lucy Avraamidou – Education and Information Technologies, 2025
AI has become integral to daily life. Teaching, learning, and research are no exception. However, most studies on education have approached AI as a technology and focused mostly on learning outcomes rather than understanding student engagement and sense-making of AI as a socio-cultural tool with impact on their daily lives. To address this gap in…
Descriptors: Young Children, Childrens Attitudes, Artificial Intelligence, Knowledge Level
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
Samson Damilola Fabiyi – Innovations in Education and Teaching International, 2025
This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Evaluation
Griffin, John F. – ProQuest LLC, 2023
Artificial intelligence (AI), as emerging technology, is being pursued by our peer and near-peer adversaries to gain an asymmetric warfighting advantage which poses a direct and existential threat to our national security. The purpose of this action research study is to investigate curriculum design to implement AI literacy education at the senior…
Descriptors: Curriculum Design, Artificial Intelligence, Literacy Education, Military Personnel
Pizzolla, Ilaria; Aro, Rania; Duez, Pierre; De Lièvre, Bruno; Briganti, Giovanni – Journal of Interactive Learning Research, 2023
In the last decades, the medical practice has been facing noteworthy transformations driven by the advancement of innovative technologies and Artificial Intelligence (AI). This rapid and widespread transition generated the increasing need for an adequate education curriculum, capable of properly teaching medical students about the prospects and…
Descriptors: Artificial Intelligence, Educational Technology, Medical Education, Foreign Countries
Randi Williams – ProQuest LLC, 2024
Today's youth are growing up in a world where artificial intelligence (AI) technologies shape how we live, work, play, socialize, and navigate our world. This rapid technological change is already significantly shifting individuals' lives and the opportunities they can obtain. Thus, researchers, educators, and government leaders must consider how…
Descriptors: Artificial Intelligence, Technological Literacy, Curriculum Design, Elementary Secondary Education
Cornelia Connolly; Orlaith Hernon; Peter Carr; Hemendra Worlikar; Ian McCabe; Jennifer Doran; Jane C. Walsh; Andrew J. Simpkin; Derek T. O'Keeffe – Computers in the Schools, 2023
Artificial intelligence (AI) technology in professional practice is regarded as the latest disruption to challenge ethical, societal, economic, and educational paradigms. It is becoming a contemporary narrative in our healthcare and educational discourse as it is thought to improve decision-making, education, patient care, and service delivery. If…
Descriptors: Artificial Intelligence, Health Services, Medical Education, Technology Integration
Mark Tupper; Ian W. Hendy; J. Reuben Shipway – Innovations in Education and Teaching International, 2025
We tested whether ChatGPT can play a role in designing field courses in higher education. In collaboration with ChatGPT, we developed two field courses; the first aimed at creating a completely new field trip, while the second was tailored to fit an existing university module, and then compared to the human module design. From our case studies,…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Curriculum Design
Steve Chenoweth; Panagiotis K. Linos – IEEE Transactions on Education, 2024
Contribution: A novel undergraduate course design at the intersection of software engineering (SE) and machine learning (ML) based on industry-reported challenges. Background: ML professionals report that building ML systems is different enough that we need new knowledge about how to infuse ML into software production. For instance, various…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Study, Engineering
Anna Trifonova; Mariela Destéfano; Mario Barajas – Digital Education Review, 2024
This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that…
Descriptors: Artificial Intelligence, Cognitive Processes, Children, Constructivism (Learning)
Kong, Siu-Cheung; Cheung, William Man-Yin; Tsang, Olson – Education and Information Technologies, 2023
Artificial intelligence (AI) literacy education for senior secondary students can prepare them for an AI-pervasive future. Although senior secondary students have been targeted, whether they can learn abstract AI concepts, feel empowered to harness AI and understand AI ethical issues is under-researched. We report a 34-h AI literacy programme with…
Descriptors: Program Evaluation, Artificial Intelligence, Literacy Education, Secondary School Students