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Sofie Otto; Stine Ejsing-Duun; Euan Lindsay – Education and Information Technologies, 2025
This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Problem Based Learning
Rebecca Marrone; Andrew Zamecnik; Srecko Joksimovic; Jarrod Johnson; Maarten De Laat – Technology, Knowledge and Learning, 2025
This article examines students' opinions regarding the use of artificial intelligence (AI) as a teammate in solving complex problems. The overarching goal of the study is to explore the effectiveness of AI as a collaborative partner in educational settings. In the study, 15 groups of grade 9 students (59 students total) were assigned a challenging…
Descriptors: Student Attitudes, Artificial Intelligence, Problem Solving, Teamwork
Sahin Gokcearslan; Hatice Yildiz Durak; Mustafa Serkan Gunbatar; Nilufer Atman Uslu; Aysun Nuket Elci – International Journal of Technology in Education, 2025
GenAI's advanced natural language processing capabilities will revolutionize numerous areas, ranging from a paradigm shift in education to the economy. Along with the positive aspects of GenAI, ethical and social risks are also one of the negative aspects that attract attention in the literature. The purpose of this study is to test the role of…
Descriptors: Artificial Intelligence, College Students, Knowledge Level, Student Attitudes
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Sebastian Kilde-Westberg; Andreas Johansson; Jonas Enger – Physical Review Physics Education Research, 2025
Generative AI tools, including the popular ChatGPT, have had a significant impact on discourses about future work and educational practices. Previous research in science education has highlighted the potential of generative AI in various education-related areas, including generating valuable discussion material, solving physics problems, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Laboratories, Physics
Elif Ece Er; Muhammet Demirbilek – International Society for Technology, Education, and Science, 2023
In today's technology, there are rapid advances in the field of artificial intelligence. With the increasing involvement of artificial intelligence in daily activities, great changes are taking place in our habits. At this point, the necessity of educating students in accordance with the age of artificial intelligence emerges. Students'…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Student Attitudes
Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
Irem Topuz; Beyza Nur Çelik – Online Submission, 2024
This qualitative research aims to examine the artificial intelligence literacy levels of psychological counseling candidates. Within the scope of the research, semi-structured interviews were conducted with 3rd and 4th-year students of the Guidance and Psychological Counseling program, and the views of 18 participants were analyzed. The data were…
Descriptors: Artificial Intelligence, Literacy, Knowledge Level, Counselor Training
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty
Ana Isabel Cea; Inmaculada Sánchez-Macías – Journal of Technology and Science Education, 2024
Fake news and artificial intelligence are phenomena addressed in academia and research within the fields of communication and audiovisual education. As a medium and language, cinema has mirrored these challenges, exemplified by the short film "Deep Soria." The primary objective proposed in this study is to ascertain whether this short…
Descriptors: Foreign Countries, Undergraduate Students, Journalism Education, Elementary Education
Ahsen Filiz; Hülya Gür – Educational Process: International Journal, 2025
Background/purpose: This study aims to examine the impact of prospective mathematics teachers' metacognitive awareness on their perceptions and applications of ChatGPT in problem-solving processes. The research investigates how these prospective mathematics teachers perceive and utilize ChatGPT, focusing on the relationship between their…
Descriptors: Student Attitudes, Metacognition, Problem Solving, Artificial Intelligence
Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
Ruijie Zhou; Xiuling He; Qiong Fan; Yangyang Li; Yue Li; Xiong Xiao; Jing Fang – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, an AI-based chatbot, supports learning by accurately interpreting and responding to user inputs. Despite its potential, few empirical studies have examined its influence on college students' mathematical problem-solving processes. Objectives: This study aimed to introduce a ChatGPT-facilitated scaffolding to investigate its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Scaffolding (Teaching Technique), Mathematics Instruction
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation

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