Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 23 |
Descriptor
Computer Science Education | 24 |
Computer Software | 24 |
Student Behavior | 24 |
Programming | 14 |
Foreign Countries | 12 |
College Students | 8 |
Teaching Methods | 8 |
Models | 7 |
Student Attitudes | 7 |
Cooperative Learning | 6 |
Data Analysis | 6 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 18 |
Reports - Research | 14 |
Collected Works - Proceedings | 4 |
Reports - Evaluative | 3 |
Reports - Descriptive | 2 |
Dissertations/Theses -… | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Location
United Kingdom | 4 |
Australia | 3 |
Brazil | 2 |
Greece | 2 |
Israel | 2 |
Netherlands | 2 |
Norway | 2 |
Pennsylvania | 2 |
Spain | 2 |
Utah | 2 |
Asia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 1 |
Massachusetts Comprehensive… | 1 |
What Works Clearinghouse Rating
Morales-Trujillo, Miguel Ehecatl; Galster, Matthias; Gilson, Fabian; Mathews, Moffat – IEEE Transactions on Education, 2022
Background: Peer evaluation in software engineering (SE) project courses enhances the learning experience of students. It also helps instructors monitor and assess both teams and individual students. Peer evaluations might influence the way individual students and teams work; therefore, the quality of the peer evaluations should be tracked through…
Descriptors: Undergraduate Students, Computer Software, Programming, Peer Evaluation
Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
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
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Kumar, Vishesh; Tissenbaum, Mike – British Journal of Educational Technology, 2022
This paper presents an implementation of Connected Spaces (CxS)--an ambient help seeking interface designed and developed for a project-based computing classroom. We use actor network theory (ANT) to provide an underutilized posthumanist lens to understand the creation of collaborative connections in this Computational Action-based implementation.…
Descriptors: Social Behavior, Cooperative Learning, Student Projects, Active Learning
Bowers, Jonathan; Eidin, Emanuel; Stephens, Lynn; Brennan, Linsey – Journal of Science Education and Technology, 2023
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…
Descriptors: Computer Science Education, Systems Approach, Thinking Skills, Science Education
Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
Grey, Simon; Gordon, Neil – New Directions in the Teaching of Physical Sciences, 2018
In this paper, we argue that, where we measure student attendance, this creates an extrinsic motivator in the form of a reward for (apparent) engagement and can thus lead to undesirable behaviour and outcomes. We go on to consider a number of other mechanisms to assess or encourage student engagement -- such as interactions with a learning…
Descriptors: Attendance, Measurement, Learner Engagement, Student Behavior
Vrieler, Tina; Salminen-Karlsson, Minna – ACM Transactions on Computing Education, 2022
The aim of this conceptual article is to provide a framework and a lens for educators in diversifying and making CS education more inclusive. In this article, we conceptualize the notion of computer science capital (CSC), which extends Bourdieu's sociological theory of capital and Archer et al.'s work on "science capital." The CSC…
Descriptors: Sociocultural Patterns, Computer Science Education, Teaching Methods, Inclusion
Liao, Yi-Wen; Huang, Yueh-Min; Huang, Shu-Hsien; Chen, Hsin-Chin; Wei, Chun-Wang – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…
Descriptors: Social Networks, Social Media, Online Courses, Models
Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
Billingsley, William; Torbay, Rosemary; Fletcher, Peter R.; Thomas, Richard N.; Steel, Jim R. H.; Süß, Jörn Guy – ACM Transactions on Computing Education, 2019
One of the challenges of global software engineering courses is to bring the practices and experience of large geographically distributed teams into the local and time-limited environment of a classroom. Over the last 6 years, an on-campus studio course for software engineering has been developed at the University of Queensland (UQ) that places…
Descriptors: Computer Science Education, Universities, Undergraduate Students, Teaching Methods
Buffardi, Kevin John – ProQuest LLC, 2014
Effective software testing identifies potential bugs and helps correct them, producing more reliable and maintainable software. As software development processes have evolved, incremental testing techniques have grown in popularity, particularly with introduction of test-driven development (TDD). However, many programmers struggle to adopt TDD's…
Descriptors: Computer Software, Testing, Development, Programming
Previous Page | Next Page »
Pages: 1 | 2