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Ishaq, Muhammad; Abid, Adnan; Farooq, Muhammad Shoaib; Manzoor, Muhammad Faraz; Farooq, Uzma; Abid, Kamran; Helou, Mamoun Abu – Education and Information Technologies, 2023
Fundamentals of Database Systems is a core course in computing disciplines as almost all small, medium, large, or enterprise systems essentially require data storage component. Database System Education (DSE) provides the foundation as well as advanced concepts in the area of data modeling and its implementation. The first course in DSE holds a…
Descriptors: Databases, Computer Science Education, Required Courses, Information Storage
Szabo, Claudia; Sheard, Judy – ACM Transactions on Computing Education, 2023
The use of established and discipline-specific theories within research and practice is an indication of the maturity of a discipline. With computing education research as a relatively young discipline, there has been recent interest in investigating theories that may prove foundational to work in this area, with discipline-specific theories and…
Descriptors: Learning Theories, Computer Science Education, Educational Research, Research and Development
Crowdsourcing Cyber Experts to Determine Relevant Topics during Cyber Curriculum Development Efforts
Ngac, Brian K.; Boicu, Mihai – Innovations in Education and Teaching International, 2023
The cyber security environment, its threats, and its defence strategies are constantly changing. Educational programmes and their curriculum are known to be slow changing and at times out-of-date, resulting in content that may not be as relevant to their students and the industry. This research paper will 1 -- present an overview of the curriculum…
Descriptors: Expertise, Curriculum Development, Computer Security, Computer Science Education
Dai, Yun; Liu, Ang; Qin, Jianjun; Guo, Yanmei; Jong, Morris Siu-Yung; Chai, Ching-Sing; Lin, Ziyan – Journal of Engineering Education, 2023
Background: The recent discussion of introducing artificial intelligence (AI) knowledge to K-12 students, like many engineering and technology education topics, has attracted a wide range of stakeholders and resources for school curriculum development. While teachers often have to directly interact with external stakeholders out of the public…
Descriptors: Artificial Intelligence, Technology Education, Curriculum Development, Computer Science Education
Karnalim, Oscar; Simon; Chivers, William – IEEE Transactions on Learning Technologies, 2023
We have recently developed an automated approach to reduce students' rationalization of programming plagiarism and collusion by informing them about the matter and reporting uncommon similarities to them for each of their submissions. Although the approach has benefits, it does not greatly engage students, which might limit those benefits. To…
Descriptors: Gamification, Programming, Plagiarism, Cooperative Learning
OConnor, T. J.; Brown, Dane; Jackson, Jasmine; Payne, Bryson; Schmeelk, Suzanna – Journal of Cybersecurity Education, Research and Practice, 2023
To support the workforce gap of skilled cybersecurity professionals, gamified pedagogical approaches for teaching cybersecurity have exponentially grown over the last two decades. During this same period, e-sports developed into a multi-billion dollar industry and became a staple on college campuses. In this work, we explore the opportunity to…
Descriptors: Computer Security, Computer Science Education, Gamification, Competition
Tuba Ketenci; Brendan Calandra; Jonathan Cohen; Maggie Renken; Nurjamal Chonoeva – Journal of Research on Technology in Education, 2023
The goal of this study was to examine how two groups of middle school students' self-efficacy, interest, goal orientation, and prior experience related to evidence of their building upon existing ideas and code in digital artifacts they created using MIT's App Inventor, a computational practice that Brennan and Resnick (2012) identified as…
Descriptors: Middle School Students, Coding, Computer Science Education, Self Efficacy
Fujiko Robledo Yamamoto; Lecia Barker; Amy Voida – ACM Transactions on Computing Education, 2023
The benefits of service learning in computer and information science (CIS) are believed to be significant, ranging from providing students with real-world experiences to retaining students to positively impacting community partners. Although there are many benefits of service learning, the CIS domain does impose unique costs for integrating…
Descriptors: College Students, Computer Science Education, Information Science, Service Learning
Hedayati-Mehdiabadi, Amir – ACM Transactions on Computing Education, 2022
The daily influence of new technologies on shaping and reshaping human lives necessitates attention to the ethical development of the future computing workforce. To improve computer science students' ethical decision-making, it is important to know how they make decisions when they face ethical issues. This article contributes to the research and…
Descriptors: Computer Science Education, Decision Making, Ethical Instruction, Ethics
Michaelis, Joseph E.; Weintrop, David – ACM Transactions on Computing Education, 2022
Computing is rapidly becoming a critical literacy for succeeding in an increasingly technological world. While the proliferation of programs dedicated to broadening participation in computing increases access, computing education research can benefit from more directly drawing on current interest development theory to improve interventions that…
Descriptors: Computer Science Education, Student Interests, Curriculum Design, Intervention
Rahaman, Md. Afzalur; Hoque, Abu Sayed Md. Latiful – International Journal of Learning Technology, 2022
For the last decades, programming courses are being taught in nearly every educational sector. Students are now more likely to use an e-learning platform compared to traditional system because of lower internet costs, remote access, and faster communication facilities. For a programming course studied in both manual and e-learning platforms,…
Descriptors: Evaluation Methods, Programming, Assignments, Automation
Shindler, Michael; Pinpin, Natalia; Markovic, Mia; Reiber, Frederick; Kim, Jee Hoon; Carlos, Giles Pierre Nunez; Dogucu, Mine; Hong, Mark; Luu, Michael; Anderson, Brian; Cote, Aaron; Ferland, Matthew; Jain, Palak; LaBonte, Tyler; Mathur, Leena; Moreno, Ryan; Sakuma, Ryan – Computer Science Education, 2022
Background and Context: We replicated and expanded on previous work about how well students learn dynamic programming, a difficult topic for students in algorithms class. Their study interviewed a number of students at one university in a single term. We recruited a larger sample size of students, over several terms, in both large public and…
Descriptors: Misconceptions, Programming, Computer Science Education, Replication (Evaluation)
Fegely, Alex; Tang, Hengtao – Educational Technology Research and Development, 2022
The purpose of this convergent mixed-methods study was to evaluate the effect of educational robotics on pre-service teachers' programming comprehension and motivation. Computer science is increasingly being integrated into K-8 curricula. However, a shortage of teachers trained to teach basic computer science concepts remains unresolved. This…
Descriptors: Programming, Robotics, Preservice Teachers, Comprehension
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students