Publication Date
In 2025 | 6 |
Since 2024 | 12 |
Since 2021 (last 5 years) | 17 |
Since 2016 (last 10 years) | 34 |
Since 2006 (last 20 years) | 61 |
Descriptor
Higher Education | 62 |
Technology Uses in Education | 62 |
Computer Science Education | 50 |
Educational Technology | 45 |
Foreign Countries | 35 |
Teaching Methods | 31 |
College Students | 24 |
Electronic Learning | 23 |
Online Courses | 18 |
Programming | 18 |
Handheld Devices | 16 |
More ▼ |
Source
Author
Publication Type
Education Level
Location
Germany | 6 |
South Africa | 6 |
Australia | 5 |
Japan | 5 |
China | 4 |
Italy | 4 |
Malaysia | 4 |
Portugal | 4 |
United States | 4 |
Africa | 3 |
Brazil | 3 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
David 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
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
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in 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
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
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
Jeremie Regnier; Ethan Shafer; Edward Sobiesk; Nicholas Stave; Malcolm Haynes – Education and Information Technologies, 2024
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction.…
Descriptors: COVID-19, Pandemics, Educational Technology, Best Practices
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
Sanal Kumar T. S.; R. Thandeeswaran – Education and Information Technologies, 2024
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…
Descriptors: Blended Learning, Electronic Learning, Higher Education, Programming
Wanjun Chen; Prasert Ruannakarn – Higher Education Studies, 2024
CIPP, as a decision-oriented new model of curriculum evaluation, is suitable for the evaluation needs of information-based physical education courses. The evaluation of teaching in information-based physical education courses based on the CIPP model is divided into four categories: context evaluation, input evaluation, process evaluation, and…
Descriptors: Information Technology, Technology Integration, Physical Education, Course Evaluation
De Santo, Alessio; Farah, Juan Carlos; Martinez, Marc Lafuente; Moro, Arielle; Bergram, Kristoffer; Purohit, Aditya Kumar; Felber, Pascal; Gillet, Denis; Holzer, Adrian – IEEE Transactions on Learning Technologies, 2022
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive…
Descriptors: Computation, Thinking Skills, Computer Science, Higher Education
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Monica Maiti; M. Priyaadharshini – Cogent Education, 2024
The integration of digital instructional methods has significantly enhanced the academic system. This study explores the viewpoints of educators and students on the application of digital resources and online platforms in the aftermath of the global health crisis. The research involved 135 university students enrolled in a cloud computing course…
Descriptors: Technology Integration, Technology Uses in Education, Information Technology, Higher Education
Cosmin Holeab; Irina Geanta – European Union, 2024
The report, overseen by the Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) on behalf of the European Commission and of the European Education and Culture Executive Agency is the second report in the series dedicated to promoting inspiring practices in digital education from the 27 European Union…
Descriptors: Higher Education, Educational Practices, Educational Technology, Technology Uses in Education
Integrating Computational Data Science in University Curriculum for the New Generation of Scientists
Renu, N.; Sunil, K. – Higher Education for the Future, 2023
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure--activity relationships,…
Descriptors: Data Science, Higher Education, College Students, Skill Development