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Showing 1 to 15 of 129 results Save | Export
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Molly Domino; Bob Edmison; Stephen H. Edwards; Rifat Sabbir Mansur; Alexandra Thompson; Clifford A. Shaffer – Computer Science Education, 2025
Background and Context: Self-regulated learning (SRL) skills are critical aspect of learning to program and are predictive of academic success. Early college students often struggle to use these skills, but can improve when given targeted instruction. However, it is not yet clear what skills are best to prioritize. Objective: We seek to create a…
Descriptors: Metacognition, Programming, Computer Science Education, College Students
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W. Monty Jones; Katherine Hansen; Douglas Lusa Krug; Michael L. Schad; Nakisha Whittington; Xun Liu – Computer Science Education, 2025
Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes
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Christina Glasauer; Martin K. Yeh; Lois Anne DeLong; Yu Yan; Yanyan Zhuang – Computer Science Education, 2025
Background and Context: Feedback on one's progress is essential to new programming language learners, particularly in out-of-classroom settings. Though many study materials offer assessment mechanisms, most do not examine the accuracy of the feedback they deliver, nor give evidence on its validity. Objective: We investigate the potential use of a…
Descriptors: Novices, Computer Science Education, Programming, Accuracy
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Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
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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
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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
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Schulz, Sandra; Berndt, Sarah; Hawlitschek, Anja – Computer Science Education, 2023
Background and Context: Collaborative and cooperative learning is important to prepare students for their future work and to increase their learning performance in university courses. Several studies have shown promising results regarding team activities, such as pair programming. However, there is little information on how teamwork is currently…
Descriptors: Cooperative Learning, Computer Science Education, Higher Education, Foreign Countries
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Poole, Frederick J.; Clarke-Midura, Jody; Rasmussen, Melissa; Shehzad, Umar; Lee, Victor R. – Computer Science Education, 2022
There is a growing perception that computational thinking can be developed in unplugged environments. A recent trend among these unplugged approaches is the use of tabletop games. While there are many commercial tabletop games on the market that are promoted as teaching computer science and/or computational skills, little is known about how these…
Descriptors: Teaching Methods, Games, Computation, Thinking Skills
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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Oscar Karnalim; Simon; William Chivers – Computer Science Education, 2024
Background and Context: To educate students about programming plagiarism and collusion, we introduced an approach that automatically reports how similar a submitted program is to others. However, as most students receive similar feedback, those who engage in plagiarism and collusion might feel inadequately warned. Objective: When students are…
Descriptors: Teaching Methods, Plagiarism, Computer Science Education, Programming
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Nicole D. Martin; Stephanie N. Baker; Madeline Haynes; Jayce R. Warner – Computer Science Education, 2024
Background and Context: As computer science (CS) education expands and the need for well-prepared CS teachers grows, understanding what motivates teachers to teach CS can help address challenges to recruiting, preparing, and retaining teachers. Objective: The goal of this work was to develop and validate a scale that measures teachers' motivation…
Descriptors: Computer Science Education, Teacher Motivation, Measurement Techniques, Construct Validity
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Karen Woo; Garry Falloon – Computer Science Education, 2025
Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…
Descriptors: Coding, Computer Science Education, Curriculum Development, Thinking Skills
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K. Ann Renninger; Ruth C. Elias; Mariko J. Kamiya; Jennifer N. Paige; Raymond A. Youngblood – Computer Science Education, 2025
Background and Context: Integrating computer science (CS) and math in classrooms is an increasingly recognized way for schools to address national CS mandates. There is a need to understand how professional development (PD) can support teachers to integrate. Objective: We examined math teachers' interest, and confidence, in math, CS, and student…
Descriptors: Faculty Development, Teacher Workshops, Computer Science Education, Mathematics Instruction
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Robin Jocius; Jennifer Albert; W. Ian O'Byrne; Deepti Joshi; Richard Robinson; Melanie Blanton – Computer Science Education, 2024
Background and Context: Using a transformative learning framework, this qualitative study examines the perspectives and practices of 70 middle and high school content area teachers who attended two or more summer professional development workshops. Objective: This study describes how teachers' disciplinary perspectives and backgrounds influence…
Descriptors: Computation, Transformative Learning, Teacher Attitudes, Teaching Methods
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Indriasari, Theresia Devi; Denny, Paul; Lottridge, Danielle; Luxton-Reilly, Andrew – Computer Science Education, 2023
Background and Context: Peer code review activities provide well-documented benefits to students in programming courses. Students develop relevant skills through exposure to alternative coding solutions, producing and receiving feedback, and collaboration with peers. Despite these benefits, low student motivation has been identified as one of the…
Descriptors: Peer Evaluation, Student Motivation, Cooperative Learning, Programming
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