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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
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
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
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
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
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
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
Xiaojun Luo; Ismail Adelopo – Journal of International Education in Business, 2025
Purpose: This study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and improvement. Design/methodology/approach: Based on a body of theories, an interdisciplinary…
Descriptors: Teaching Methods, Educational Opportunities, Difficulty Level, Business Administration Education
Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
David W. Jackson; Helen Zhang; Fahd Abdus-Sabur – TechTrends: Linking Research and Practice to Improve Learning, 2025
During young adolescence, many youth develop strong identities in relation to science, technology, engineering and mathematics with computing (STEM + C). One way to design for student engagement in STEM + C is to create project-based units that leverage students' interests. We created one such unit, called the "smart greenhouse project".…
Descriptors: Instructional Design, Computer Uses in Education, STEM Education, Student Projects
Gayithri Jayathirtha; Gail Chapman; Joanna Goode – Journal of Research on Technology in Education, 2025
We report findings from qualitatively analyzing audio recordings and teacher-generated products from a two-day in-person collaborative design (co-design) workshop where nine experienced high school CS teachers revised parts of an existing introductory high school program toward justice. In response to our research question of how teachers…
Descriptors: Experienced Teachers, Team Teaching, Design, High School Teachers
Anastasia M. Schauer; Jessie Liu; Christopher Saldaña; Katherine Fu – International Journal of STEM Education, 2025
Background: Even among women who persist in the gender-imbalanced engineering fields, women on engineering design teams tend to take on non-technical roles. Understanding the mechanisms that inform this phenomenon is important for encouraging more women in STEM in order to close the gender gap. Although factors such as self-efficacy, task…
Descriptors: Sex Stereotypes, Engineering Education, Gender Issues, Design
Madhav Sharma; Andy Bowman – Journal of Information Systems Education, 2025
"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…
Descriptors: Educational Technology, Technology Integration, Databases, Data Analysis
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Amos Oyelere Sunday; Friday Joseph Agbo; Jarkko Suhonen – Technology, Knowledge and Learning, 2025
The recent popularity of computational thinking (CT) and the desire to apply CT in our daily lives have prompted the need for a successful pedagogical technique for learning CT in K-12 education. The application of co-design pedagogical techniques has the potential to improve students' CT learning through knowledge sharing and the creation of…
Descriptors: Thinking Skills, Computer Science Education, Research Reports, Teaching Methods
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