NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 311 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Adrian Salguero – ProQuest LLC, 2024
Introductory computer programming (i.e. CS1) is the entry point into the computer science major at higher education institutions worldwide. It introduces foundational concepts to students that are then built upon in future courses. Computer science as a whole has struggled to attract and retain students in the major, particularly women and…
Descriptors: Computer Science, Programming, Introductory Courses, Disproportionate Representation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  21