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Meina Zhu – Journal of Computer Assisted Learning, 2025
Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments…
Descriptors: Computer Science Education, Programming, Social Media, Video Technology
Andrej Jerman Blažic; Borka Jerman Blažic – Education and Information Technologies, 2025
This paper presents a new developed methodology for teaching and learning subjects that although are very important in the modern digital society are neglected in high school education programs: cybersecurity and cyber safety. A Study among the EU high schools in 2021-2022 revealed that computer science teachers are not regularly upgrading their…
Descriptors: Computer Security, Technology Education, Computer Science Education, Electronic Learning
Yukun Xu; Hui Li – IEEE Transactions on Learning Technologies, 2025
Primary school students, despite their vulnerability to cyberattacks, lack targeted cybersecurity education. Using Scopus and Google Scholar, this scoping review analyzed 15 articles (2014-2024) following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews guidelines to examine the landscape of…
Descriptors: Elementary School Students, Computer Security, Educational Trends, Computer Science Education
Hongliang Ma; Yuhan Dong; Bin Jing; Yu Zeng; Jinmei Sun – International Journal of STEM Education, 2025
Background: With the growing emphasis on computer science (CS) education in K-12 schools, numerous professional development (PD) programs for in-service CS teachers (CS-PD) have been implemented over the past decades. However, there is a lack of systematic review and meta-analysis to evaluate the effectiveness of these CS-PD programs. To address…
Descriptors: Inservice Teacher Education, Faculty Development, Elementary Secondary Education, Computer Science Education
Counter-Hegemonic Computing: Toward Computer Science Education for Value Generation and Emancipation
Eglash, Ron; Bennett, Audrey; Cooke, Laquana; Babbitt, William; Lachney, Michael – ACM Transactions on Computing Education, 2021
Students' lives, both in and out of school, are full of different forms of value. Wealthy students enjoy value in the form of financial capital; their fit to hegemonic social practices; excellent health care and so on. Low-income students, especially those from African American, Native American, and Latinx communities, often lack access to those…
Descriptors: Computer Science Education, African American Community, Cultural Influences, Community Development
Duran, Rodrigo; Sorva, Juha; Seppälä, Otto – ACM Transactions on Computing Education, 2021
We propose a framework for identifying, organizing, and communicating learning objectives that involve program semantics. In this framework, detailed learning objectives are written down as rules of program behavior (RPBs). RPBs are teacher-facing statements that describe what needs to be learned about the behavior of a specific sort of programs.…
Descriptors: Behavioral Objectives, Computer Science Education, Programming, Evaluation Criteria
Mertala, Pekka – British Journal of Educational Technology, 2021
While computing has been (re)introduced into the basic education curricula in various countries, its actual implementation appears to be inconsistent. There are schools in which computing education is commonplace, while the implementation seems to be lagging behind in others. There is emerging evidence that some teachers do not consider computing…
Descriptors: Multiple Literacies, Computer Science Education, Elementary Secondary Education, Teaching Methods
Shi, Yang; Mao, Ye; Barnes, Tiffany; Chi, Min; Price, Thomas W. – International Educational Data Mining Society, 2021
Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…
Descriptors: Artificial Intelligence, Program Effectiveness, Coding, Computer Science Education
Richard W. Lightcap III – ProQuest LLC, 2021
Nationally, a shortage exists of qualified cybersecurity persons entering the field, posing challenges for higher education institutions in locating qualified educators to help fill the gap. A wealth of literature discusses the needs of students, yet literature outlining qualities of attracting graduates to become educators is lacking. The purpose…
Descriptors: Phenomenology, Computer Security, Career Change, Postsecondary Education
Starkey, Louise; Yates, Anne; de Roiste, Mairead; Lundqvist, Karsten; Ormond, Adreanne; Randal, John; Sylvester, Allan – Educational Technology Research and Development, 2023
Disciplines in Higher Education have their own interpretations of what is essential knowledge that influences what is taught, how teaching occurs, and the role of digital tools. Disciplinary culture is dynamic and evolving, informed by disciplinary research and technology improvement. During the COVID-19 pandemic, digital solutions enabled ongoing…
Descriptors: Undergraduate Study, College Faculty, Educational Technology, Statistics
Lin, Judith C. P. – Higher Education: The International Journal of Higher Education Research, 2023
In higher education institutions, critical race theory (CRT) is known to be associated with fields that study racial disparities or systemic oppression such as law, education, and ethnic studies. The impression that CRT is unrelated to fields like business or computer science may have led scholars and practitioners from these disciplines to put…
Descriptors: Racism, Critical Race Theory, Higher Education, Health Sciences
Hao, Xiaoxin; Xu, Zhiyi; Guo, Mingyue; Hu, Yuzheng; Geng, Fengji – International Journal of STEM Education, 2023
Background: Coding has become an integral part of STEM education. However, novice learners face difficulties in processing codes within embedded structures (also termed nested structures). This study aimed to investigate the cognitive mechanism underlying the processing of embedded coding structures based on hierarchical complexity theory, which…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Computer Science Education
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
Collins, Jazmin; Ford, Vitaly – Journal of Cybersecurity Education, Research and Practice, 2023
The use of the Capture the Flag (CTF)-style competitions has grown popular in a variety of environments as a method to improve or reinforce cybersecurity techniques. However, while these competitions have shown promise in student engagement, enjoyment, and the teaching of essential workforce cybersecurity concepts, many of these CTF challenges…
Descriptors: Computer Security, Computer Science Education, Coding, Competition
Johnson, Donald M.; Pate, Michael L.; Estepp, Christopher M.; Wardlow, George W. – Journal of Research in Technical Careers, 2023
A replication study was conducted to determine the effectiveness of an instructional treatment based on self-efficacy theory when used with novice Arduino microcontroller users. Students (n = 32) in an introductory university agricultural systems technology course participated in a lesson on Arduino microcontrollers, circuit breadboarding, and…
Descriptors: Self Efficacy, Computer Science Education, Instructional Effectiveness, Novices