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Showing 1 to 15 of 73 results Save | Export
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Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
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Wendy Rowan; Stephen McCarthy; Selam Mebrahtu; Christophe Gauche; Katie O’Reilly; Damilola Odili – Journal of Information Systems Education, 2024
Sustainability refers to the achievement of present needs without compromising the ability of future generations to meet their own needs. While prior research has highlighted the potential of Information Systems (IS) to support sustainability objectives -- for instance, through supporting eco-efficient work practices and democratising healthcare…
Descriptors: Information Systems, Computer System Design, Computer Science Education, Sustainability
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Paulina Haduong; Karen Brennan – Computer Science Education, 2025
Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…
Descriptors: Grade 4, Computer Science Education, Instructional Design, Programming
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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Juraj Hromkovic; Regula Lacher – Informatics in Education, 2025
The design of algorithms is one of the hardest topics of high school computer science. This is mainly due to the universality of algorithms as solution methods that guarantee the calculation of a correct solution for all potentially infinitely many instances of an algorithmic problem. The goal of this paper is to present a comprehensible and…
Descriptors: Algorithms, Computer Science Education, High School Students, Teaching Methods
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Judy Wynekoop; Kazuo Nakatani – Industry and Higher Education, 2024
Critical thinking has been identified as a key ability in most professions, yet employers find college graduates deficient in critical thinking skills. Research on the effect of college on students' critical thinking ability has been contradictory. This study empirically examines the impact of the immersion approach to teach critical thinking used…
Descriptors: Critical Thinking, Thinking Skills, Computer Science Education, Information Systems
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Kevin Slonka; Matthew North; Neelima Bhatnagar; Anthony Serapiglia – Information Systems Education Journal, 2025
Continuing to fill the literature gap, this research replicated and expands a prior study of student performance in database normalization in an introductory database course. The data was collected from four different universities, each having different prerequisite courses for their database course. Student performance on a database normalization…
Descriptors: Required Courses, Academic Achievement, Information Systems, Databases
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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
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Michele Scalera; Agostino Marengo; Vita Santa Barletta; Danilo Caivano; Giovanni Dimauro; Jenny Pange – Education and Information Technologies, 2025
Computer architecture is considered one of the dry and hard-to-learn courses for students in the computer science discipline. Therefore, educational institutions experiment with different pedagogical approaches to enhance students' performance and interest in courses. This study introduces a Simplified Approach to Teach a Processor (SAtTaP), a…
Descriptors: Computer Science Education, Teaching Methods, Computer System Design, Undergraduate Students
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Madhav Sharma; Roger McHaney – Decision Sciences Journal of Innovative Education, 2025
Many management information systems (MIS) faculty have adopted a project-oriented approach in their systems analysis and design courses. In these courses, students use a software development methodology to create a web or mobile application project, which can be based on a predefined case or developed for an external stakeholder. Because most…
Descriptors: Computer Software, Artificial Intelligence, Instructional Design, Computer Science Education
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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
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Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
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Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education
Noelle Brown – ProQuest LLC, 2024
Recognizing the ethical implications of computing, leading computing organizations advise integrating ethics within traditional technical and theoretical courses. Yet, many instructors feel unprepared or unqualified to introduce ethical concepts, fail to see their relevance to technical topics, or lack the time to cover ethics without sacrificing…
Descriptors: Ethics, Computer Science Education, Problem Based Learning, Technological Literacy
Michael Schneider – ProQuest LLC, 2024
Electronic textiles (e-textiles) weave computational and electronic components into fabric, enabling students to design and build fabric-based projects that interact with their surroundings. This meshing of physical hardware and virtual software can be difficult for students to untangle when debugging. Is an LED failing to light up because of an…
Descriptors: Troubleshooting, Computer Science Education, Computation, Secondary School Students
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