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Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
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Rong, Wenge; Xu, Tianfan; Sun, Zhiwei; Sun, Zian; Ouyang, Yuanxin; Xiong, Zhang – IEEE Transactions on Education, 2023
Contribution: In this study, an object tuple model has been proposed, and a quasi-experimental study on its usage in an introductory programming language course has been reported. This work can be adopted by all C language teachers and students in learning pointer and array-related concepts. Background: C language has been extensively employed in…
Descriptors: Models, Introductory Courses, Programming, Computer Science Education
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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Rodrigues, Luiz; Pereira, Filipe; Toda, Armando; Palomino, Paula; Oliveira, Wilk; Pessoa, Marcela; Carvalho, Leandro; Oliveira, David; Oliveira, Elaine; Cristea, Alexandra; Isotani, Seiji – ACM Transactions on Computing Education, 2022
Students face several difficulties in introductory programming courses (CS1), often leading to high dropout rates, student demotivation, and lack of interest. The literature has indicated that the adequate use of gamification might improve learning in several domains, including CS1. However, the understanding of which (and how) factors influence…
Descriptors: Gamification, Programming, Computer Science Education, Introductory Courses
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Sharmin, Sadia – ACM Transactions on Computing Education, 2022
Computer science is a fast-growing field in today's digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate…
Descriptors: Creativity, Computer Science Education, Literature Reviews, Introductory Courses
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Zhang, Yingbin; Pinto, Juan D.; Fan, Aysa Xuemo; Paquette, Luc – Journal of Educational Data Mining, 2023
The second CSEDM data challenge aimed at finding innovative methods to use students' programming traces to model their learning. The main challenge of this task is how to decide which past problems are relevant for predicting performance on a future problem. This paper proposes a set of weighting schemes to address this challenge. Specifically,…
Descriptors: Problem Solving, Introductory Courses, Computer Science Education, Programming
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Maximiliano Paredes-Velasco; Isaac Lozano-Osorio; Diana Perez-Marin; Liliana Patricia Santacruz-Valencia – IEEE Transactions on Learning Technologies, 2024
Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been explored, from the use of tools such as Scratch, robots, unplugged programming, or activities for the development of computational thinking. Despite the wide…
Descriptors: Visual Aids, Programming, Intelligent Tutoring Systems, Computer Oriented Programs
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Duran, Rodrigo; Sorva, Juha; Seppälä, Otto – ACM Transactions on Computing Education, 2021
We propose a framework for identifying, organizing, and communicating learning objectives that involve program semantics. In this framework, detailed learning objectives are written down as rules of program behavior (RPBs). RPBs are teacher-facing statements that describe what needs to be learned about the behavior of a specific sort of programs.…
Descriptors: Behavioral Objectives, Computer Science Education, Programming, Evaluation Criteria
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Mahfudzah Othman; Aznoora Osman; Siti Zulaiha Ahmad; Natrah Abdullah – Turkish Online Journal of Distance Education, 2024
This paper discusses the design of interactive gamified assessments for an introductory programming course based on the multimedia segmenting principle and gamification. The objective is to develop more engaging online programming assessments for low-achieving students. The general design follows Nielsen's design guidelines and incorporates…
Descriptors: Gamification, Interaction, Programming, Low Achievement
Jeremy Ryan Grifski – ProQuest LLC, 2024
With ongoing concerns in undergraduate computer science education like growing enrollment and broadening participation, there is a need for reform. While there are many stakeholder perspectives to consider in reforms, students deserve to be prioritized because they face a variety of environmental challenges that lead to negative outcomes like…
Descriptors: Undergraduate Students, Computer Science Education, Introductory Courses, Programming
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Barbosa Rocha, Hemilis Joyse; Cabral De Azevedo Restelli Tedesco, Patrícia; De Barros Costa, Evandro – Informatics in Education, 2023
In programming problem solving activities, sometimes, students need feedback to progress in the course, being positively affected by the received feedback. This paper presents an overview of the state of the art and practice of the feedback approaches on introductory programming. To this end, we have carried out a systematic literature mapping to…
Descriptors: Classification, Computer Science Education, Feedback (Response), Problem Solving
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Ibrahim Cetin; Tarik Otu – International Journal of Computer Science Education in Schools, 2023
The purpose of the current study was to explore the effect of modality (constructionist mBlock, Scratch, and Python interventions) on six-grade students' computational thinking, programming attitude, and achievement. The pre-test and post-test quasi-experimental design was used to explore the research questions. The study group consisted of 105…
Descriptors: Computation, Thinking Skills, Student Attitudes, Programming
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Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education
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Claudio Alvarez; Maira Marques Samary; Alyssa Friend Wise – Journal of Computing in Higher Education, 2024
Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success.…
Descriptors: Mastery Learning, Computer Science Education, Programming, Action Research
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