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Showing 1 to 15 of 25 results Save | Export
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Peter H. F. Ng; Peter Q. Chen; Astin C. H. Wu; Ken S. K. Tai; Chen Li – IEEE Transactions on Learning Technologies, 2024
This study examines a practical teaching and learning cycle tailored to integrate cutting-edge technologies (artificial intelligence (AI) and machine learning (ML) game development) and social entrepreneurship within a "STEM with meaning" approach. This cycle, rooted in service learning and the 5E constructivist teaching model (engage,…
Descriptors: Artificial Intelligence, STEM Education, Educational Games, Service Learning
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Shen Zhan; Ling Wang – Education Research and Perspectives, 2024
The rapid integration of artificial intelligence (AI) in higher education has been significantly propelled by developments in generative AI tools, which hold considerable promise for transforming teaching and assessment methodologies. This paper explores the distinctive opportunities and challenges associated with the incorporation of generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Evaluation Methods, Engineering Education
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John Jairo Jaramillo; Andrés Chiappe – Prospects, 2024
This article describes a systematic literature review focused on identifying substantial drawbacks in the current curricula and on the challenges to developing AI-driven curricula. One hundred thirty articles were read in depth and qualitatively analyzed. The results suggest that educational stakeholders should integrate AI into the curriculum…
Descriptors: Trend Analysis, Interdisciplinary Approach, Problem Solving, Futures (of Society)
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Tippawan Meepung – Journal of Education and Learning, 2025
This study explores the development and evaluation of a digital learning ecosystem through metaverse experiences aimed at enhancing the competencies of modern digital entrepreneurs. The objectives were as follows: (1) to study the digital learning ecosystem through metaverse experiences, (2) to design and develop a digital learning ecosystem using…
Descriptors: Electronic Learning, Ecology, Artificial Intelligence, Skill Development
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Kangwa Daniel; Msafiri Mgambi Msambwa; Zhang Wen – European Journal of Education, 2025
This systematic review investigates the impact of generative artificial intelligence (GenAI) tools on developing academic skills in higher education. Analysing 158 studies published between 2021 and 2024, it focuses on the impact of GenAI tools on the development of cognitive, technical and interpersonal skills. The results reveal that 94% of the…
Descriptors: Artificial Intelligence, Academic Ability, Academic Achievement, Skill Development
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Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
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Ismail Celik; Egle Gedrimiene; Signe Siklander; Hanni Muukkonen – Australasian Journal of Educational Technology, 2024
Twenty-first-century skills should be integrated into higher education to prepare students for complex working-life challenges. Artificial intelligence (AI)-powered tools have the potential to optimise skill development among higher education students. Therefore, it is important to conceptualise relevant affordances of AI systems for 21st-century…
Descriptors: Artificial Intelligence, 21st Century Skills, Higher Education, Educational Research
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Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Yaniv Biton; Ruti Segal – International Journal of Education in Mathematics, Science and Technology, 2025
The use of generative AI (Chat GPT) for the process of posing mathematical problems was introduced to 15 pre-service teachers (henceforth referred to as "teachers") in a re-training program aimed at teaching advanced secondary school mathematics. After solving mathematical problems, they were given an assignment to pose and refine…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers
Emmanuel Johnson – ProQuest LLC, 2021
Research in artificial intelligence has made great strides in developing 'cognitive tutors' that teach a range of technical skills. These automated tutors allow students to practice, observe their mistakes, and provide personalized instructional feedback. Evidence shows that these methods can increase learning above and beyond traditional…
Descriptors: Artificial Intelligence, Skill Development, Interpersonal Competence, Conflict Resolution
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Jiangyue Liu; Jing Ma; Siran Li – Education and Information Technologies, 2025
This study developed a school-based AI curriculum suitable for senior high school students, with the primary objective of enhancing their mastery of knowledge and proficiency in AI, as well as their computational thinking abilities. The curriculum was designed with an awareness of the practical challenges encountered by the subject school in their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Curriculum Design, Computation
Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger – Grantee Submission, 2020
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Simulation
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Simon Wong; Ka Lok Wong; Yui-Yip Lau; Kia Tsang; Ada Chan – Journal of Education and e-Learning Research, 2024
Generic competency development activities (GCDAs) help students develop critical thinking, problem-solving, innovation, creativity, communication and social skills. This study evaluated students' acceptance of a machine learning-assisted recommendation system (MARS) developed to recommend GCDAs for students in a higher education institution. This…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Higher Education
Editorial Projects in Education, 2025
Problem-based learning (PBL) offers a powerful approach to engage students in meaningful learning experiences by connecting classroom content to real-world challenges. This Spotlight explores how PBL can be implemented across K-12 to foster critical thinking, collaboration, and problem-solving skills. From preparing students for the workforce…
Descriptors: Problem Based Learning, Learning Experience, Kindergarten, Elementary Secondary Education
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Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M. – Journal of Educational Psychology, 2013
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Genetics, Science Instruction
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