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Direct linkSebastian Mateos Nicolajsen; Sofie Nielsen; Louise Meier Carlsen; Claus Brabrand – Higher Education: The International Journal of Higher Education Research, 2025
Decades of technological development and innovation have led to an unprecedented digitalization of society. Graduates entering the modern workforce now need better computational competences. Higher education is thus forced to adapt and consider how to support these demands. To support educators in making decisions regarding "how" to…
Descriptors: Foreign Countries, Programming, Computer Science Education, Higher Education
Download full textDavid R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Ahmad D. Suleiman; Daqing Hou; Yu Liu; Jan DeWaters; David C. Shepherd; Juliana G. De Souza – ACM Transactions on Computing Education, 2025
In recent years, there has been a rise in recognition of the need for computing education to bridge the gap between academia and industry. In addition, educational researchers are also interested in increasing student engagement by grounding learning experiences in real-life concerns, community issues, or personal interests. Unfortunately,…
Descriptors: Computer Science Education, Higher Education, Active Learning, Student Projects
A Comparison of Generative AI Solutions and Textbook Solutions in an Introductory Programming Course
Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
A. R. Piña; Shams El-Adawy; Mike Verostek; Brett T. Boyle; Mateo Cacheiro; Matt Lawler; Namitha Pradeep; Ella Watts; Colin G. West; H. J. Lewandowski; Benjamin M. Zwickl – Physical Review Physics Education Research, 2025
Quantum information science and engineering (QISE) is rapidly gaining interest from those within many disciplines, and higher education needs to adapt to the changing landscape. Although QISE education still has a strong presence and roots in physics, the field is becoming increasingly interdisciplinary. There is a need to understand the presence…
Descriptors: Quantum Mechanics, Information Science, Engineering Education, Physics
Victor-Alexandru Padurean; Tung Phung; Nachiket Kotalwar; Michael Liut; Juho Leinonen; Paul Denny; Adish Singla – International Educational Data Mining Society, 2025
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…
Descriptors: Automation, Student Writing Models, Feedback (Response), Programming
Seyma Ulukok-Yildirim; Duygu Sonmez – Journal of Education in Science, Environment and Health, 2025
Today, the importance of artificial intelligence in science learning and teaching is rapidly increasing. The growing interest in this field and the resulting increase in academic publications on the subject make it challenging to understand its progress and trends on a global scale. Furthermore, a literature review reveals a notable lack of…
Descriptors: Bibliometrics, Literature Reviews, Artificial Intelligence, Science Education
Sophia Krause-Levy; Andrew Petersen; Oladele Oladunjoye Campbell; William G. Griswold; Leo Porter; Oluwatoyin Adelakun-Adeyemo; Jennifer Campbell; Michelle Craig; Adrienne Decker; Sebastian Dziallas; Carrie Demmans Epp; David R. Gibson; Yekaterina Kharitonova; Devorah Kletenik; David L. Largent; Emma McDonald; Brian M. McSkimming; Tina L. Peterson; Caroline Sih; Cynthia Taylor; Neena Thota – ACM Transactions on Computing Education, 2025
Motivation: In computing, Impostor Phenomenon (IP) has been viewed as a problem for many years, but little research has been done to show its prevalence. In 2020, IP in computing began to be explored at single institutions. The results showed that IP is prevalent among undergraduate and graduate students in computing courses and that the rates of…
Descriptors: Computer Science Education, Higher Education, College Students, Self Concept
André Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
Changxue Ma – Science Insights Education Frontiers, 2025
This article is a survey of the major achievements China has made in digital education since the introduction of the Education Informatization 2.0 Action Plan. Drawing on the existing research literature and relevant reports from the Ministry of Education of China, the study looks at the outcomes of digital education in China in six dimensions:…
Descriptors: Foreign Countries, Computer Science Education, Educational Trends, Technology Uses in Education
Amitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
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
Sam O'Neill; David Mulgrew; Ovidiu Bagdasar – Open Education Studies, 2025
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, College Faculty
Hsiu-Ju Chen – Journal of College Science Teaching, 2025
As cloud computing gains prominence, universities have increasingly incorporated it into their curricula, necessitating a balance between theoretical knowledge and practical skills. However, students' learning of cloud computing was not clear. The primary objectives of this study are to assess variations in students' self-efficacy and…
Descriptors: Information Storage, Information Management, Information Technology, Technology Uses in Education
Ananth Jillepalli – ACM Transactions on Computing Education, 2025
I explore Neoliberalism and its effects on Computing Education and Research. I begin the exploration by analyzing the impact of declining state funding for higher education. I discuss the following mechanisms used by higher-ed institutions to cope with declines in state support: managerial culture, increased students' fees, privatization of…
Descriptors: Neoliberalism, Computer Science Education, Educational Research, Educational Finance
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