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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
Baytiyeh, Hoda; Elbassuoni, Shady – International Journal of Information and Communication Technology Education, 2021
Information and communication technologies have changed the way students learn, and higher education institutions in the Middle East region strive to attract professors who use technology in their daily teaching and learning practices. This study examines students' experiences in a web-enhanced computer science course. In an online survey based on…
Descriptors: College Students, Student Experience, Computer Science Education, Computer Science
Cynthia Pinheiro Santiago; Antonio Rodrigo dos Santos Silva; José Wally Mendonça Menezes; Francisco José Alves de Aquino – Informatics in Education, 2025
The introductory programming disciplines, which include the teaching of algorithms and computational logic, have high failure and dropout rates. Developing Computational Thinking in students can contribute to learning programming fundamentals by building algorithmic and problem-solving skills. However, keeping students engaged in training such…
Descriptors: Gamification, Self Determination, Computation, Thinking Skills
Gustavo Gutierrez Carreon – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The need for this paper arises from the lack of comprehensive studies comparing the impact of cloud-based versus local database systems on student learning outcomes. Specifically, there is a need to understand how these different approaches affect usability and cognitive load in educational settings, which are critical factors for…
Descriptors: Cognitive Processes, Difficulty Level, Information Storage, Information Technology
Sina Rismanchian; Eesha Tur Razia Babar; Shayan Doroudi – Annenberg Institute for School Reform at Brown University, 2025
In November 2022, OpenAI released ChatGPT, a groundbreaking generative AI chatbot backed by large language models (LLMs). Since then, these models have seen various applications in education, from Socratic tutoring and writing assistance to teacher training and essay scoring. Despite their widespread use among high school and college students in…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
Haoming Wang; Chengliang Wang; Zhan Chen; Fa Liu; Chunjia Bao; Xianlong Xu – Education and Information Technologies, 2025
With the rapid development of artificial intelligence technology in the field of education, AI-Agents have shown tremendous potential in collaborative learning. However, traditional Computer-Supported Collaborative Learning (CSCL) methods still have limitations in addressing the unique demands of programming education. This study proposes an…
Descriptors: Artificial Intelligence, Cooperative Learning, Programming, Computer Science Education
Prasad, Prajish; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2022
Evaluating a software design is an important practice of expert software designers. They spend significant time evaluating their solution, by developing an integrated mental model of the software design and the requirements. However, sufficient emphasis has not been given on teaching and learning of evaluation practices in software design courses,…
Descriptors: Computer Software, Design, Computer Science Education, Models
Lindsay Kistler Mattock – Journal of Education for Library and Information Science, 2022
The information professions demand digitally literate practitioners who can navigate the increasingly complex technological environments of libraries and archives. While basic literacy is presumed among graduate students, many students express fear and anxiety when approaching new technologies. These psychological barriers have not been addressed…
Descriptors: Technological Literacy, Anxiety, Computer Attitudes, Library Education
Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Grace Leah Akinyi; Robert Oboko; Lawrence Muchemi – Electronic Journal of e-Learning, 2024
The future of university learning in Sub-Saharan Africa has become increasingly digitally transformed by both e-Learning, and learning analytics, post-COVID-19 pandemic. Learning analytics intervention is critical for effective support of socially-shared regulated learning skills, which are crucial for twenty-first-century e-Learners.…
Descriptors: Electronic Learning, Student Attitudes, Learning Analytics, Feedback (Response)
Collins Kazondovi; Martha Eliaser – Higher Education Studies, 2025
In order to equip students with technology and 21st-century abilities like problem-solving, creativity, and collaboration, a new model of education that involves altered curriculum, infrastructure, professional development for teachers, textbooks, and examinations have emerged. The use of information technology can help spread knowledge more…
Descriptors: Barriers, Opportunities, Electronic Learning, Grade 8
Chen, Huan; Li, You; Wang, Ye; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Journal of Ethnographic & Qualitative Research, 2022
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited, lacking both breadth and depth. In the present study, we addressed this research gap by exploring students' perception of learning in AI-related courses facilitated by an open experiential AI platform.…
Descriptors: Artificial Intelligence, Technology Integration, Computer Science Education, Communications
Ragad M. Tawafak; Waleed Mugahed Al-Rahmi; Abdulrahman Alshimai; Ibrahim Yaussef Alyoussef; Ayad Aldaijy – Contemporary Educational Technology, 2025
The importance of gameplay extends beyond mere entertainment, playing a crucial role in shaping behavioral intentions (BIs) in various contexts. This research aims to discover how digital gameplay influences students' BIs, mainly in the context of technology adoption in education. The main objective is to investigate the impact of digital gameplay…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Computer Games
Dan Sun; Azzeddine Boudouaia; Chengcong Zhu; Yan Li – International Journal of Educational Technology in Higher Education, 2024
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…
Descriptors: Computer Science Education, Computer Software, Feedback (Response), Artificial Intelligence

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