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Václav Šimandl; Jirí Vanícek; Václav Dobiáš – Informatics in Education, 2025
Research on collaborative learning of computer science has been conducted primarily in programming. This paper extends this area by including short tasks (such as those used in contests like the Bebras Challenge) that cover many other computer science topics. The aim of this research is to explore how problem-solving in pairs differs from…
Descriptors: Cooperative Learning, Problem Solving, Computer Science, Computer Science Education
Alicia Garcia-Holgado; Andrea Vazquez-Ingelmo; Francisco Jose Garcia-Penalvo – IEEE Transactions on Education, 2024
Contribution: Gender mainstreaming in university teaching should be covered in all the knowledge areas. This work successfully introduces the gender perspective as part of the methodological approach to teaching and learning in Computer Science. Background: This study describes how gender mainstreaming has been introduced and matured during six…
Descriptors: Computer Science, Gender Differences, Equal Education, Inclusion
Demetrios Sampson; Panagiotis Kampylis; Jesús Moreno-León; Stefania Bocconi – Smart Learning Environments, 2025
This paper explores the evolving landscape of informatics education in European primary and secondary schools, analysing academic and grey literature to define the state of play and open questions related to 'high-quality informatics education'. It underlines the strategic importance of promoting high-quality informatics education to prepare…
Descriptors: Foreign Countries, Elementary Secondary Education, Computer Science, Computer Science Education
Josh Tenenberg; Donald Chinn – Computer Science Education, 2025
Background and context: We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic…
Descriptors: Computer Science Education, Epistemology, Student Attitudes, Intellectual Disciplines
Nielsen Pereira; Sarah Bright; Zafer Ozen; Shahnaz Safitri; Hernan Castillo-Hermosilla; Brenda C. Matos; Tugce Karatas; Pedro Fonseca – Gifted Child Quarterly, 2025
Technology is an increasingly omnipresent and rapidly changing component of today's world. As a result, there is an urgency to develop talent in the field of computer science (CS). The purpose of this article is to examine ways that educational systems can develop students' talents to fill the need for skilled CS professionals. We provide an…
Descriptors: Computer Uses in Education, Computer Science, Computer Science Education, Talent Development
Adriana Villavicencio; Wendy Martin; Cheri Fancsali; Maya Israel – Journal of Research on Technology in Education, 2025
Because of the rapid expansion of computer science (CS) education, educational leaders must consider how to recruit, prepare, and support teachers who typically do not have a background in CS. This study examines two professional development (PD) approaches used to introduce CS education to non-CS teachers. We aim to understand if/how each model…
Descriptors: Computer Science Education, Models, Faculty Development, Professional Autonomy
Brayan Díaz; Collin Lynch; Cesar Delgado; Kevin Han – International Journal of STEM Education, 2025
Background: This paper describes research into two pedagogical approaches to foster transdisciplinarity in a graduate engineering course that involves education and computer science. Leveraging the Communities of Practice framework, we examine how students majoring in computer science can integrate new knowledge from education and computer science…
Descriptors: Graduate Study, Engineering Education, Computer Science, Interdisciplinary Approach
Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning
Hengtao Tang; Yingxiao Qian; Susan Porter-Voss – Education and Information Technologies, 2024
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students' participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined…
Descriptors: Rural Areas, Computer Science, Self Efficacy, Robotics
Lauren E. Margulieux; Yin-Chan Liao; Erin Anderson; Miranda C. Parker; Brendan D. Calandra – ACM Transactions on Computing Education, 2024
Integrated computing curricula combine learning objectives in computing with those in another discipline, like literacy, math, or science, to give all students experience with computing, typically before they must decide whether to take standalone CS courses. One goal of integrated computing curricula is to provide an accessible path to an…
Descriptors: Technology Uses in Education, Technology Integration, Computer Uses in Education, Computer Science
Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
Dana Kube; Sebastian Gombert; Brigitte Suter; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Gender Issues, Learning Activities