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Showing 1 to 15 of 174 results Save | Export
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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
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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
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Linda J. Sax – Journal of The First-Year Experience & Students in Transition, 2025
Although the process of inquiry is guided by questions, the result is rarely a clear answer. Instead, deep investigation--despite producing data, results, and evidence--ultimately results in a lot more questions. The author, rather than feeling disillusioned by that reality, has come to accept it as the cyclical nature of research. For more than…
Descriptors: College Students, Student Experience, Educational Research, Gender Differences
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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
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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
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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
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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
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Steve Balady; Cynthia Taylor – Computer Science Education, 2024
Background and Context: Computer Science has traditionally had poor student retention, especially among women. Prior work has found that student attitudes are a key factor to retention, especially with "weedout" courses such as Calculus. Objective: To determine how student attitudes towards CS 1 and Calculus change over active-learning…
Descriptors: Student Attitudes, Calculus, Computer Science Education, Academic Persistence
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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
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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
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Semiral Öncü; Merve Çolakoglu; Huseyin Colak – Journal of Educational Technology and Online Learning, 2024
The purpose of this study was to investigate whether taking a course online or face-to-face matters in terms of student engagement and achievement. Gender differences were also examined. The level of student engagement in an information technology course in a freshman sample from a school of education was surveyed and compared in two consecutive…
Descriptors: Undergraduate Students, Information Technology, Computer Science Education, In Person Learning
Lucas, Rhonda Luvenia – ProQuest LLC, 2023
The purpose of this study was to determine if the use of Real-World Experiences in Active Learning (R.E.A.L.) impacted student learning outcomes in an undergraduate information systems (IS) data communication and networking course. A quasi-experimental, quantitative approach was used to investigate whether the R.E.A.L. treatments, used as active…
Descriptors: Experiential Learning, Active Learning, Outcomes of Education, Undergraduate Students
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Mirjam Paales; Karin Täht – IEEE Transactions on Education, 2025
Contribution: This study enhances the understanding of the factors that impact academic performance and self-efficacy among computer science (CS) students, specifically focusing on gender differences. Background: The motivation behind this study stems from the gender disparity observed within undergraduate CS programs. This gender gap undermines…
Descriptors: Females, Womens Education, Gender Differences, Undergraduate Students
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Busra Ozmen Yagiz; Ecenaz Alemdag – Education and Information Technologies, 2025
Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…
Descriptors: Foreign Countries, Undergraduate Students, Resilience (Psychology), Programming
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Zharkynay Yesmakhanova; Yerepbayev Nurlan; Aktolkyn Boranbayeva; Alimbayev Medeu; Galiya Rysbayeva; Nurlybek Omarov – South African Journal of Education, 2024
Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students' attitudes towards blended learning. To gather university students' opinions on the effectiveness of…
Descriptors: Evaluation, Student Attitudes, Blended Learning, Computer Science Education
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