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Stephanie M. Werner; Raisa Blazquez – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
The purpose of "The Pathways and Experiences of Illinois Computer Science Undergraduate Students Series," as the name suggests, is to understand the pathways and experiences of computer science (CS) and tech students in post-secondary programs throughout Illinois, paying particular attention to students from historically marginalized…
Descriptors: Computer Science Education, Undergraduate Students, Student Experience, Power Structure
Milan Turcáni; Zoltan Balogh; Michal Kohútek – Smart Learning Environments, 2024
In this research, a mixed-method approach was employed to conduct large-scale eye-tracking measurements, traditionally associated with high costs and extensive time commitments. Utilizing consumer-grade webcams in conjunction with open-source software, data was collected from an expansive cohort of students, thereby demonstrating the scalability…
Descriptors: Computer Science Education, Eye Movements, Reading Comprehension, Knowledge Level
Arjan J. F. Kok; Lex Bijlsma; Cornelis Huizing; Ruurd Kuiper; Harrie Passier – Informatics in Education, 2024
This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…
Descriptors: Programming Languages, Computer Science Education, Open Source Technology, Teaching Methods
Cheri Fancsali; June Mark; Kathryn Hill, Contributor; Xia Li, Contributor; Janice Lee, Contributor; Rishika Jain, Contributor; Michelle Flores, Contributor – Research Alliance for New York City Schools, 2024
New York City's Computer Science for All (CS4All) initiative, launched in 2015, aimed to provide all students across the system with at least one CS experience at each grade band (K-2, 3-5, 6-8, and 9-12). The initiative placed particular emphasis on broadening participation among girls, and Black and Latinx students, who are underrepresented in…
Descriptors: Computer Science Education, Urban Schools, Public Schools, Elementary Secondary Education
Chengliang Wang; Xiaojiao Chen; Yifei Li; Pengju Wang; Haoming Wang; Yuanyuan Li – Journal of Educational Computing Research, 2025
This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…
Descriptors: Programming, Computer Science Education, Metacognition, Computer Simulation
Yin-Chan Liao; Michael Karlin; Lauren Margulieux; Brendan Calandra – Journal of Technology and Teacher Education, 2025
This study explored the dynamics and key factors influencing the development of computer science education (CSEd) pathways in teacher preparation at 10 higher education institutions in the United States. Through cross-case analysis, the findings highlighted that personal commitment and leadership from CSEd champions played a key role in initiating…
Descriptors: Computer Science Education, Equal Education, Capacity Building, Kindergarten
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
Audrey Ellis; Tracie Yorke; Charles Ansell – Complete College America, 2025
As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Technology Integration
Sarah L. Rodriguez – Harvard Education Press, 2025
In "Supporting Latina Students in Engineering and Computing," Sarah L. Rodriguez presents a series of evidence-based strategies to foster a sense of belonging and inclusion among Latina students in engineering and computing programs. This work emphasizes the need for asset-based, culturally rooted perspectives to shift departmental…
Descriptors: Hispanic American Students, Engineering Education, Computer Science Education, Evidence Based Practice
Sandie Han; Diana Samaroo; Janet Liou-Mark; Boyan Kostadinov; Johann Thiel; Suhua Zeng – Mathematics Teaching Research Journal, 2025
The "Understanding Implicit Bias" workshops were offered to Science, Technology, Engineering, and Mathematics (STEM) faculty at an urban minority-serving undergraduate institution with a focus on addressing the gender gap in computer science. The workshops aimed to raise awareness of implicit (unconscious) biases and provide practical…
Descriptors: STEM Education, College Faculty, Faculty Development, Teacher Workshops
Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
McGill, Monica; Snow, Eric; Vaval, Luronne; DeLyser, Leigh Ann; Wortel-London, Stephanie; Thompson, Angelica – ACM Transactions on Computing Education, 2023
Research Problem: Computer science (CS) education researchers conducting studies that target high school students have likely seen their studies impacted by COVID-19. Interpreting research findings impacted by COVID-19 presents unique challenges that will require a deeper understanding as to how the pandemic has affected underserved and…
Descriptors: Computer Science Education, COVID-19, Pandemics, Socioeconomic Status
Bwalya, Tuesday – International Journal of Education and Development using Information and Communication Technology, 2023
For schools to successfully deliver the computer studies curriculum, they should have, among other things, qualified teachers and computer laboratories. This study investigated the availability of qualified computer studies teachers and computer laboratories in public secondary schools in Lusaka City, Zambia. A mixed-methods approach was employed…
Descriptors: Teacher Qualifications, Computer Science Education, Computer Assisted Instruction, Laboratories
Lavy, Ilana – Informatics in Education, 2023
This paper describes a pilot study that explores students learning how to program via a multi-disciplinary approach. The study participants were eleven 6th grade students who learned programming fundamentals via music activities in a Scratch 3.0 environment. These activities included the programming of familiar melodies and the development of…
Descriptors: Computer Science Education, Programming, Grade 6, Music

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