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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
Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
Ka Yan Fung; Lik Hang Lee; Kuen Fung Sin; Shenghui Song; Huamin Qu – Education and Information Technologies, 2024
With the ability to provide feedback and assistance, humanoid educational robots have been proven effective in assisting students to overcome learning challenges and enhancing individual learning outcomes. However, the strength of humanoid robots in promoting social and emotional skills has not been well investigated. Socially supportive behaviour…
Descriptors: Robotics, Man Machine Systems, Educational Technology, Language Acquisition
Vishesh Kumar; Matthew Berland; Leilah Lyons; Beth Pinzur – Interactive Learning Environments, 2024
In this paper, we present SCAMP -- Social Configuration Affordances for Museum Play -- an analytical framework we develop and use to highlight the relationship between designed affordances at interactive museum exhibits and different social playful behaviors they trigger and support. We do this through a selective case study analysis of Rainbow…
Descriptors: Museums, Exhibits, Instructional Materials, Play
Wei Liu; Zhiyong Fu; Yancong Zhu; Yin Li; Yuanbo Sun; Xinhui Hong; Yanru Li; Min Liu – International Journal of Technology and Design Education, 2024
This research paper investigates the intersection of the maker movement and educational innovation, using the China-U.S. Young Maker Competition as a foundational example. It examines how maker education, fueled by hands-on learning and a curiosity-driven approach, can evolve and influence. The study explores the roles and impacts of…
Descriptors: Competition, Educational Innovation, Youth Programs, Shared Resources and Services
Min Zou; Liang Huang – Education and Information Technologies, 2024
Despite the growing popularity of ChatGPT and chatbot-assisted writing, research on the use of ChatGPT in second language (L2) writing classrooms remains insufficient. Using reflection papers and focus group interviews, the qualitative study examined doctoral students' views on the impact of using ChatGPT on L2 writing and their expected…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Giovanni Zimotti; Claire Frances; Luke Whitaker – Technology in Language Teaching & Learning, 2024
This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction
Kodelja, Zdenko – Center for Educational Policy Studies Journal, 2019
The question of whether machine learning is real learning is ambiguous, because the term "real learning" can be understood in two different ways. Firstly, it can be understood as learning that actually exists and is, as such, opposed to something that only appears to be learning, or is misleadingly called learning despite being something…
Descriptors: Artificial Intelligence, Educational Philosophy, Man Machine Systems, Computers
Zhai, Xiaoming; Shi, Lehong; Nehm, Ross H. – Journal of Science Education and Technology, 2021
Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…
Descriptors: Meta Analysis, Man Machine Systems, Artificial Intelligence, Computer Assisted Testing
Seyum Getenet – International Electronic Journal of Mathematics Education, 2024
This study compared the problem-solving abilities of ChatGPT and 58 pre-service teachers (PSTs) in solving a mathematical word problem using various strategies. PSTs were asked to solve a problem individually. Data was collected from PSTs' submitted assignments, and their problem-solving strategies were analyzed. ChatGPT was also given the same…
Descriptors: Problem Solving, Ability, Preservice Teachers, Artificial Intelligence
Yifan Zhang – ProQuest LLC, 2024
Computational thinking (CT) has been an increasing focus of research and practice since the seminal paper by Wing in 2006, especially in pre-college (K-12) education. Barr and Stephenson defined CT as a problem-solving methodology that can be automated, transferred, and applied across disciplines. With the challenges of fitting CT into already…
Descriptors: Mental Computation, Elementary Education, Problem Solving, Intellectual Disciplines
Mark E. Pickering; Ryan Jopp; Melissa A. Wheeler; Cheree Topple – Australasian Journal of Educational Technology, 2024
Advances in technology have significantly enhanced the quality of mixed-reality simulations, incorporating both real and virtual aspects. Mixed-reality simulations have been used to develop individual knowledge, skills and abilities in higher education; however, the use of such simulations to introduce authentic learning activities into higher…
Descriptors: Foreign Countries, Undergraduate Students, Business Administration Education, Computer Simulation
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The ability of generative-AI tools such as ChatGPT, Gemini and Claude to both 'write' (generate new texts) and 'read' (e.g. summarise texts) in a human-like manner means they are set to play an increasingly important role in the literacy…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics