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Jessica Yauney; Scott R. Bartholomew; Peter Rich – Computer Science Education, 2023
Background and Context: Hour of Code is one of the largest educational campaigns implemented. It exposes millions of learners, to an hour of computer science fundamentals. With such a large impact, a large number of research articles have been published on the topic. This research ranges from reports of experiments testing the efficacy of Hour of…
Descriptors: Computer Science Education, Mass Instruction, Instructional Effectiveness, Educational Research
Yi Liu; Leen-Kiat Soh; Guy Trainin; Gwen Nugent; Wendy M. Smith – Computer Science Education, 2025
Background and Context: Professional development (PD) programs for K-12 computer science teachers use surveys to measure teachers' knowledge and attitudes while recognizing daily sentiment and emotion changes can be crucial for providing timely teacher support. Objective: We investigate approaches to compute sentiment and emotion scores…
Descriptors: Computer Science Education, Faculty Development, Elementary School Teachers, Secondary School Teachers
Fatima Abu Deeb; Timothy Hickey – Computer Science Education, 2024
Background and Context: Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error. Objective: To…
Descriptors: Reflection, Automation, Grading, Novices
Hawlitschek, Anja; Berndt, Sarah; Schulz, Sandra – Computer Science Education, 2023
Background and Context: Pair programming is an important approach to fostering students' programming and collaborative learning skills. However, the empirical findings on pair programming are mixed, especially concerning effective instructional design. Objective: The objective of this literature review is to provide lecturers with systematic…
Descriptors: Cooperative Learning, Programming, Computer Science Education, College Students
Cheers, Hayden; Lin, Yuqing – Computer Science Education, 2023
Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…
Descriptors: Plagiarism, Programming, Computer Science Education, Identification
Shindler, Michael; Pinpin, Natalia; Markovic, Mia; Reiber, Frederick; Kim, Jee Hoon; Carlos, Giles Pierre Nunez; Dogucu, Mine; Hong, Mark; Luu, Michael; Anderson, Brian; Cote, Aaron; Ferland, Matthew; Jain, Palak; LaBonte, Tyler; Mathur, Leena; Moreno, Ryan; Sakuma, Ryan – Computer Science Education, 2022
Background and Context: We replicated and expanded on previous work about how well students learn dynamic programming, a difficult topic for students in algorithms class. Their study interviewed a number of students at one university in a single term. We recruited a larger sample size of students, over several terms, in both large public and…
Descriptors: Misconceptions, Programming, Computer Science Education, Replication (Evaluation)
Meghan M. Parkinson; Seppe Hermans; David Gijbels; Daniel L. Dinsmore – Computer Science Education, 2024
Background and Context: More data are needed about how young learners identify and fix errors while programming in pairs. Objective: The study will identify discernible patterns in the intersection between debugging processes and the type of regulation used during debugging while children engage in coding to drive further theory and model…
Descriptors: Computer Science Education, Troubleshooting, Cooperative Learning, Coding
Gayithri Jayathirtha; Deborah Fields; Yasmin Kafai – Computer Science Education, 2024
Background and Context: Debugging is a challenging yet understudied practice within recent collaborative K-12 physical computing contexts. We examined think-aloud interviews and reflections of seven high school student pairs who debugged researcher-designed buggy electronic textile projects. Objective: We asked: (1) What strategies did student…
Descriptors: High School Students, Problem Solving, Cooperation, Small Group Instruction
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
Olgun Sadik; Anne Todd Ottenbreit-Leftwich – Computer Science Education, 2024
Background and Context: Based on issues arising around how to best prepare CS teachers and the constantly changing nature of the CS education content, curriculum, and instructional methods, it is crucial to examine the needs of secondary CS teachers. Objective: The primary purpose of this study was to identify secondary computer science (CS)…
Descriptors: Secondary School Teachers, Computer Science Education, Barriers, Needs
Pelánek, Radek; Effenberger, Tomáš – Computer Science Education, 2022
Background and Context: Block-based programming is a popular approach to teaching introductory programming. Block-based programming often works in the context of microworlds, where students solve specific puzzles. It is used, for example, within the Hour of Code event, which targets millions of students. Objective: To identify design guidelines…
Descriptors: Programming, Computer Science Education, Puzzles, Problem Solving
Kathleen J. Lehman; Julia Rose Karpicz; Tomoko M. Nakajima; Linda J. Sax; Veronika Rozhenkova – Computer Science Education, 2024
Department chairs play a key role in efforts to diversify higher education, particularly in fields like computer science that face long-standing gender and racial/ethnic gaps. This study considers the role of computer science department chairs in guiding broadening participation efforts and how they make sense of external dynamics that influence…
Descriptors: Department Heads, Influences, Student Participation, Computer Science Education
Lijun Ni; Yan Tian; Tom McKlin; Jake Baskin – Computer Science Education, 2024
Background & Context: Continuously developing teachers' knowledge, practice, and professional identity is one of the key standards for effective computer science (CS) teachers. Objective: This study aims to understand the landscape of CS teachers in the United States, the professional identity they hold, and how their background and teaching…
Descriptors: Computer Science Education, Professional Identity, Teacher Background, Profiles
McGarr, Oliver; Exton, Chris; Power, Julie; McInerney, Clare – Computer Science Education, 2023
Background and Context: School principals and school guidance counsellors can be very influential in deciding what subjects are offered on the curriculum, how they are promoted and who they are targeted to. For that reason, exploring their views of Computer Science (CS) as a subject can help unearth potential barriers that may hinder the wider…
Descriptors: Principals, Administrator Attitudes, Counselor Attitudes, School Counselors
Teaching Algorithms in Upper Secondary Education: A Study of Teachers' Pedagogical Content Knowledge
Nijenhuis-Voogt, Jacqueline; Bayram-Jacobs, Durdane; Meijer, Paulien C.; Barendsen, Erik – Computer Science Education, 2023
Background and Context: Computing education is expanding, while the teaching of algorithms is less well studied. Objective: The aim of this study was to examine teachers' pedagogical content knowledge (PCK) for teaching algorithms. Method: We conducted semi-structured interviews with seven computer science (CS) teachers in upper secondary…
Descriptors: Algorithms, Secondary School Teachers, Pedagogical Content Knowledge, Computer Science Education