Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
College Students | 6 |
Error Patterns | 6 |
Novices | 6 |
Programming | 5 |
Computer Science Education | 4 |
Programming Languages | 3 |
Delphi Technique | 2 |
Error Correction | 2 |
Foreign Countries | 2 |
Misconceptions | 2 |
Models | 2 |
More ▼ |
Source
Computer Science Education | 2 |
ACM Transactions on Computing… | 1 |
International Educational… | 1 |
Journal of Educational… | 1 |
Journal of Engineering… | 1 |
Author
Adi Katz | 1 |
Aivaloglou, Efthimia | 1 |
Becker, Brett A. | 1 |
Conrad, Susan | 1 |
D'Souza, Daryl | 1 |
Fletcher, George | 1 |
Gal, Kobi | 1 |
Glanville, Graham | 1 |
Goslin, Kyle | 1 |
Iwashima, Ricardo | 1 |
Laakso, Mikko-Jussi | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 5 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 6 |
Audience
Location
Belgium | 1 |
Chile | 1 |
Finland | 1 |
France | 1 |
Germany | 1 |
Netherlands | 1 |
Poland | 1 |
Singapore | 1 |
United Kingdom | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ronit Shmallo; Adi Katz – Computer Science Education, 2024
Background and Context: Gender research shows that women are better at reading comprehension. Other studies indicate a lower tendency in women to choose STEM professions. Since data modeling requires reading skills and also belongs in the areas of information systems and computer science (STEM professions), these findings provoked our curiosity.…
Descriptors: Gender Differences, Transfer of Training, Databases, Models
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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
Conrad, Susan – Journal of Engineering Education, 2017
Background: Numerous studies have identified a gap between the writing skills of engineering program graduates and the demands of writing in the workplace; however, few studies have analyzed the writing of practitioners and students to better understand that gap and inform teaching materials. Purpose: This study sought to compare word-level,…
Descriptors: College Students, Engineering Education, Civil Engineering, Writing Skills
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions