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Download full textNiklas 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
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Direct linkLakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
Burleson, James; Nabity-Grover, Teagen; Jetha, Karim – Journal of Information Systems Education, 2023
The Association for Information Systems (AIS) Teaching Curation Project aims to highlight and summarize research within the association that focuses on the major courses taught in Information Systems (IS) programs. The present literature review is a companion to a curation website specific to the introductory course in IS. In this review, we…
Descriptors: Information Systems, Introductory Courses, Enrollment, Teaching Methods
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
Colorado Department of Higher Education, 2024
Senate Bill 22-192, titled Opportunities for Credential Attainment called on the Colorado Department of Higher Education (CDHE) to work collaboratively with other state agencies, institutions of higher education (IHEs), employers and other stakeholders to build 10 stackable credential pathways across five high-value, high-demand industries between…
Descriptors: Career Pathways, Education Work Relationship, Health Services, Computer Software
Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
Shao-Chen Chang; Charoenchai Wongwatkit – Education and Information Technologies, 2024
As computational thinking becomes increasingly essential, the challenge of designing effective teaching approaches to foster students' abilities in this area persists, especially for higher order thinking skills. This study addresses this challenge by proposing and implementing a peer assessment-based Scrum project (PA-SP) learning approach in…
Descriptors: Peer Evaluation, Computer Science Education, Programming, Mental Computation
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
Emily Marie Lovell – ProQuest LLC, 2021
The field of computer science has long been plagued by issues of diversity - in particular, attracting and retaining those historically marginalized in computing contexts. This is a great loss to the field, to the future of innovation, and to society. Perhaps most importantly, it is an incalculable loss to those populations excluded from pursuing…
Descriptors: Computer Science Education, Student Diversity, Higher Education, Instructional Design
Asfaw, Abraham; Blais, Alexandre; Brown, Kenneth R.; Candelaria, Jonathan; Cantwell, Christopher; Carr, Lincoln D.; Combes, Joshua; Debroy, Dripto M.; Donohue, John M.; Economou, Sophia E.; Edwards, Emily; Fox, Michael F. J.; Girvin, Steven M.; Ho, Alan; Hurst, Hilary M.; Jacob, Zubin; Johnson, Blake R.; Johnston-Halperin, Ezekiel; Joynt, Robert; Kapit, Eliot; Klein-Seetharaman, Judith; Laforest, Martin; Lewandowski, H. J.; Lynn, Theresa W.; McRae, Corey Rae H.; Merzbacher, Celia; Michalakis, Spyridon; Narang, Prineha; Oliver, William D.; Palsberg, Jens; Pappas, David P.; Raymer, Michael G.; Reilly, David J.; Saffman, Mark; Searles, Thomas A.; Shapiro, Jeffrey H.; Singh, Chandralekha – IEEE Transactions on Education, 2022
Contribution: A roadmap is provided for building a quantum engineering education program to satisfy U.S. national and international workforce needs. Background: The rapidly growing quantum information science and engineering (QISE) industry will require both quantum-aware and quantum-proficient engineers at the bachelor's level. Research Question:…
Descriptors: Program Development, Engineering Education, Labor Needs, Quantum Mechanics
Holanda, Maristela; Da Silva, Dilma – IEEE Transactions on Education, 2022
Contributions: The underrepresentation of women in computer science (CS) majors has long been a focus of attention in many academic documents, the majority of them from the United States and Europe. There is, however, a lack of information about educational interventions (EIs) for women in computing in Latin America. The contribution of this…
Descriptors: Foreign Countries, Hispanic American Students, Disproportionate Representation, Computer Science
Chou, Te-Shun; Hempenius, Nicholas – Journal of Cybersecurity Education, Research and Practice, 2020
With the advancement in technology over the past decades, networks have become increasingly large and complex. In the meantime, cyberattacks have become highly sophisticated making them difficult to detect. These changes make securing a network more challenging than ever before. Hence, it is critical to prepare a comprehensive guide of network…
Descriptors: Computer Networks, Computer Security, Information Security, Computer Science Education
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
