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Jennifer M. Blaney; Theresa E. Hernandez; David F. Feldon; Annie M. Wofford – Community College Review, 2025
Research Questions: While community college transfer (i.e., upward transfer) represents an important mechanism for advancing equity across STEM fields, existing studies of gender and women's participation within computer science have largely excluded the perspectives of upward transfer students. We address this gap in the literature by exploring…
Descriptors: Transfer Students, STEM Education, Gender Differences, Computer Science Education
Lara Perez-Felkner; Kristen Erichsen; Yang Li; Jinjushang Chen; Shouping Hu; Ladanya Ramirez Surmeier; Chelsea Shore – Review of Educational Research, 2025
Although gender parity has been achieved in some STEM fields, gender disparities persist in computing, one of the fastest-growing and highest-earning career fields. In this systematic literature review, we expand upon academic momentum theory to categorize computing interventions intended to make computing environments more inclusive to girls and…
Descriptors: Computer Science Education, Gender Differences, Equal Education, Research Reports
Sonia Lorente; Mónica Arnal-Palacián; Maximiliano Paredes-Velasco – European Journal of Psychology of Education, 2024
The European Higher Education Area (EHEA) proposes to enhance active learning and student protagonism in order to improve academic performance. In this sense, different methodologies are emerging to create scenarios for self-regulation of their learning. In this study the cooperative, collaborative and interdisciplinary learning methodologies were…
Descriptors: Cooperative Learning, Interdisciplinary Approach, Computer Software, Universities
Ioannis Vourletsis – Educational Technology Research and Development, 2025
Computational thinking (CT) skills have become increasingly important in modern education, as they equip students with critical problem-solving skills applicable across various domains. Given the growing emphasis on digital literacy, it is essential to investigate grade- and gender-level differences in CT skills among students to support targeted…
Descriptors: Gender Differences, Instructional Program Divisions, Elementary School Students, Scores
Lihui Sun; Junjie Liu – Journal of Educational Computing Research, 2025
Computational Thinking (CT) has evolved as an essential competency for K-12 students, and programming practices are recognized as the key way to facilitate CT development. However, most studies of CT development in middle graders have focused on visual programming, lacking evidence to demonstrate the effectiveness of Python programming. Therefore,…
Descriptors: Computation, Thinking Skills, Skill Development, Middle School Students
Mike Karlin; Anne Ottenbreit-Leftwich; Yin-Chan Janet Liao – TechTrends: Linking Research and Practice to Improve Learning, 2024
While a growing emphasis has been placed on broadening participation in computer science (CS) education, an enduring gender gap exists. One reason for this is gender-based CS stereotypes, which serve as gatekeepers and act in exclusionary ways. However, some high schools in the U.S. have still built gender-inclusive CS programs. We conducted a…
Descriptors: High Schools, Computer Science Education, Gender Differences, Stereotypes
Metin, Sermin; Basaran, Mehmet; Kalyenci, Damla – Pedagogical Research, 2023
The purpose of this research is to examine the coding skills of five-year-old children in terms of some variables. The research sample comprises 160 children aged five years studying in kindergarten affiliated with the Ministry of National Education in Gaziantep city center in the 2021-2022 academic year. As a data collection tool in the research,…
Descriptors: Programming, Kindergarten, Preschool Children, Foreign Countries
Yin-Rong Zhang; Zhong-Mei Han; Tao He; Chang-Qin Huang; Fan Jiang; Gang Yang; Xue-Mei Wu – Journal of Computer Assisted Learning, 2025
Background: Collaborative programming is important and challenging for K12 students. Scaffolding is a vital method to support students' collaborative programming learning. However, conventional scaffolding that does not fade may lead students to become overly dependent, resulting in unsatisfactory programming performance. Objectives: This study…
Descriptors: Middle School Students, Grade 8, Scaffolding (Teaching Technique), Programming
Yucnary-Daitiana Torres-Torres; Marcos Román-González; Juan-Carlos Perez-Gonzalez – European Journal of Education, 2024
Computational Thinking (CT) is crucial for the advancement of the STEM field, where there continues to be a lack of female representation. Teaching and learning (T/L) of CT should incorporate didactic strategies that aim to eliminate gender biases and integrate girls/women into this context. In response to the question, "What didactic…
Descriptors: Thinking Skills, Gender Differences, Females, Disproportionate Representation
Zhang, Yingbin; Paquette, Luc; Pinto, Juan D.; Liu, Qianhui; Fan, Aysa Xuemo – Education and Information Technologies, 2023
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…
Descriptors: Undergraduate Students, Programming, Novices, Troubleshooting
Babes-Vroman, Monica; Nguyen, Thuytien N.; Nguyen, Thu D. – ACM Transactions on Computing Education, 2022
With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25-30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we…
Descriptors: Gender Differences, Diversity, Computer Science Education, Research Universities
Ella Christiaans; So Yeon Lee; Kristy A. Robinson – Educational Psychology, 2024
Students want to learn computer science due to its usefulness for future careers, however they often meet challenges in introductory courses. In the increasingly digital world, it is important to understand some important psychological consequences of such challenges: perceived costs of pursuing computer science. This study thus investigated…
Descriptors: Undergraduate Students, Computer Science Education, Psychological Patterns, Student Attitudes
Asiye Toker Gokce; Arzu Deveci Topal; Aynur Kolburan Geçer; Canan Dilek Eren – Education and Information Technologies, 2025
Artificial intelligence (AI) literacy is critical to shaping students' academic experiences and future opportunities inhigher education. This study examines AI literacy among university students, examining variables such as gender, frequency of use of AI applications, completion of AI-related courses, and field of study. The research involved 664…
Descriptors: Artificial Intelligence, Technological Literacy, College Students, Decision Making
Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Journal of Educational Computing Research, 2022
The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students' behavioral patterns in pair programming. The participants of…
Descriptors: Cooperative Learning, Student Behavior, Programming, Computer Science Education
Bahar, A. Kadir; Kaya, Erdogan; Zhang, Xiaolu – Journal of Advanced Academics, 2022
Using the test scores of more than 1,000,000 students who participated in the Advanced Placement Computer Science (AP CS) exams from 1997 to 2020, this study examined the direction and magnitude of the trends in gender disparity in participation and top achievement in advanced exams. The findings indicated that the male-to-female ratio (MFR) among…
Descriptors: Gender Differences, Advanced Placement, Computer Science Education, Tests