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Roosa Wingström; Johanna Hautala; Riina Lundman – Creativity Research Journal, 2024
Artificial intelligence (AI) has breached creativity research. The advancements of creative AI systems dispute the common definitions of creativity that have traditionally focused on five elements: actor, process, outcome, domain, and space. Moreover, creative workers, such as scientists and artists, increasingly use AI in their creative…
Descriptors: Creativity, Artificial Intelligence, Computer Science, Scientists
Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Nontachai Samngamjan; Pakawat Phettom; Kajohnsak Sa-ngunsat; Wudhijaya Philuek – Shanlax International Journal of Education, 2024
In the realm of education, the integration of AI literacy into computer science teaching is becoming increasingly crucial (Walsh et al., 2023; Voulgari et al., 2022; Velander et al., 2023). Teachers play a pivotal role in bridging the gap between research and practical knowledge transfer of AIrelated skills, necessitating a solid foundation in…
Descriptors: Artificial Intelligence, Technological Literacy, Foreign Countries, Student Teachers
Mayowa Oyedoyin; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Computer Science Education, 2025
Background and Context: Recognizing that digital technologies can enable economic transformation in Africa, computing education has been considered a subject relevant for all within the compulsory level of education. The implementation of the subject in many schools is, however, characterized by a myriad of challenges, including pedagogical…
Descriptors: Elementary School Students, Student Attitudes, Internet, Coding
Cheng, Yu-Ping; Cheng, Shu-Chen; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2022
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study…
Descriptors: Internet, Online Searching, Information Retrieval, Artificial Intelligence
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
Dai, Yun; Lin, Ziyan; Liu, Ang; Dai, Dan; Wang, Wenlan – Journal of Educational Computing Research, 2024
Artificial intelligence (AI) has emerged as a prominent topic in K-12 education recently. However, pedagogical design has remained a major challenge, especially among young learners. Guided by the Zone of Proximal Development theory and AI education research literature, this design-based study proposes an analogy-based pedagogical approach to…
Descriptors: Foreign Countries, Grade 6, Artificial Intelligence, Logical Thinking
Yin-Chan Liao; G. Sue Kasun; Nozipho Moyo – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined the impact of a U.S. federal teacher professional learning (PL) Fulbright program on computational literacy and artificial intelligence (AI) education for K-12 teachers (n = 21) from resource-constrained countries. Occurring shortly after the rise of generative AI in November 2023, the program may have further accentuated AI's…
Descriptors: Artificial Intelligence, Computer Literacy, Computer Science Education, Teacher Attitudes
Rahm, Lina – Learning, Media and Technology, 2023
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the…
Descriptors: Automation, Artificial Intelligence, Educational History, Genealogy
Noura Zeroual; Mahnane Lamia; Mohamed Hafidi – Education and Information Technologies, 2024
Traditional education systems do not provide students with much freedom to choose the right training of study that suits them, which leads on long-term to the negative effects not only on social, economic and mental' well-being of student, but also will have a negative effect on the quality of the work produced by this student in the future. In…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Computer Science Education
Huang, Xiaodong – Education and Information Technologies, 2021
Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Science Education, Competence
Xiaodong Huang; Chengche Qiao – Science & Education, 2024
Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…
Descriptors: Thinking Skills, Artificial Intelligence, STEM Education, Art Education
Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Yau, King Woon; CHAI, C. S.; Chiu, Thomas K. F.; Meng, Helen; King, Irwin; Yam, Yeung – Education and Information Technologies, 2023
Artificial intelligence (AI) education for K-12 students is an emerging necessity, owing to the rapid advancement and deployment of AI technologies. It is essential to take teachers' perspectives into account when creating ecologically valid AI education programmes for K-12 settings. However, very few studies investigated teacher perception of AI…
Descriptors: Foreign Countries, Secondary School Teachers, Artificial Intelligence, Teacher Attitudes