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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
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
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Atal, Deniz; Deryakulu, Deniz – Pegem Journal of Education and Instruction, 2019
This study aimed to examine professional identity of ICT teachers following educational changes in ICT education and technology integration, introduced by Ministry of National Education (MoNE) in Turkey. Professional identity was investigated under the factors of commitment, self-image, knowledge and skills, value, thoughts and beliefs, future…
Descriptors: Foreign Countries, Professional Identity, Educational Change, Computer Science Education
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Guney, Zafer – Malaysian Online Journal of Educational Technology, 2019
The aim of this study is to introduce the four-component instructional design (4C/ID) model in teaching loops for programming by using the model, which is defined in programming instruction, with the principles of the model for teaching technical skills and to discuss the differences in instructional planning and to discuss in the process of…
Descriptors: Instructional Design, Computer Science Education, Programming, Models
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Chen, Haiyuan; Lei, Gang – English Language Teaching, 2019
This study aims to identify technical words in research articles across sub-disciplines in computer science field. A corpus of research articles in computer science was constructed, comprised of 10,450,035 running words from 1045 research articles across ten sub-disciplines of computer science. The technical word List for research articles in…
Descriptors: Jargon, Word Lists, Computer Science, Journal Articles
Li, Tingxuan – ProQuest LLC, 2019
In order to achieve broadening participation in computer science and other careers related to computing, middle school classrooms should provide students opportunities (tasks) to think like a computer scientist. Researchers in computing education promote the idea that programming skill should not be a pre-requisite for students to display…
Descriptors: Cognitive Measurement, Computation, Thinking Skills, Computer Science
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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
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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
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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
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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
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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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Garcia, Fabrício Wickey da Silva; Oliveira, Sandro Ronaldo Bezerra; Carvalho, Elielton da Costa – Informatics in Education, 2023
The contents taught in the programming subjects have a great relevance in the formation of computing students. However, these subjects are characterized by high failure rates, as they require logical reasoning and mathematical knowledge. Thus, establishing knowledge through the subject of algorithms can help students to overcome these difficulties…
Descriptors: Teaching Methods, Algorithms, Undergraduate Students, Computer Science Education
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
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Karlin, Michael; Ottenbreit-Leftwich, Anne; Liao, Yin-Chan – Computer Science Education, 2023
Background: Despite ongoing calls for prioritizing K-12 computer science (CS) education, an enduring gender gap exists. Objective: We explored one high school CS program where female participation was consistently higher than state averages to better understand how the program was developed. Method: Using a case study method, data were collected…
Descriptors: Computer Science Education, Gender Differences, Student Participation, High School Students
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Holman, Justin O.; Hacherl, Allie – Journal of Statistics and Data Science Education, 2023
It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years. Used by scores of academics and practitioners in a variety of fields, Monte Carlo simulation is one of the most broadly…
Descriptors: Teaching Methods, Monte Carlo Methods, Programming Languages, Statistics Education
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