Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 8 |
| Since 2007 (last 20 years) | 11 |
Descriptor
| Misconceptions | 11 |
| Computer Science Education | 10 |
| Programming | 6 |
| Error Patterns | 5 |
| Programming Languages | 4 |
| College Students | 3 |
| Introductory Courses | 3 |
| Novices | 3 |
| Teaching Methods | 3 |
| Classification | 2 |
| Computer Science | 2 |
| More ▼ | |
Source
| ACM Transactions on Computing… | 11 |
Author
Publication Type
| Journal Articles | 11 |
| Reports - Research | 7 |
| Reports - Descriptive | 2 |
| Reports - Evaluative | 2 |
| Information Analyses | 1 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 4 |
Audience
Location
| Chile | 2 |
| Belgium | 1 |
| France | 1 |
| Germany | 1 |
| Illinois | 1 |
| Netherlands | 1 |
| Poland | 1 |
| Singapore | 1 |
| United Kingdom | 1 |
| United States | 1 |
| Virginia | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
Hedayati-Mehdiabadi, Amir – ACM Transactions on Computing Education, 2022
The daily influence of new technologies on shaping and reshaping human lives necessitates attention to the ethical development of the future computing workforce. To improve computer science students' ethical decision-making, it is important to know how they make decisions when they face ethical issues. This article contributes to the research and…
Descriptors: Computer Science Education, Decision Making, Ethical Instruction, Ethics
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
Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
Miller, Craig S.; Settle, Amber – ACM Transactions on Computing Education, 2019
We investigate conditions in which novices make some reference errors when programming. We asked students from introductory programming courses to perform a simple code-writing task that required constructing references to objects and their attributes. By experimentally manipulating the nature of the attributes in the tasks, from identifying…
Descriptors: Error Patterns, Novices, Programming, Introductory Courses
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – ACM Transactions on Computing Education, 2019
Recursion is one of the most important and hardest topics in lower division computer science courses. As it is an advanced programming skill, the best way to learn it is through targeted practice exercises. But the best practice problems are time consuming to manually grade by an instructor. As a consequence, students historically have completed…
Descriptors: Computer Science Education, Programming, Instructional Effectiveness, Difficulty Level
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
Sorva, Juha – ACM Transactions on Computing Education, 2013
This article brings together, summarizes, and comments on several threads of research that have contributed to our understanding of the challenges that novice programmers face when learning about the runtime dynamics of programs and the role of the computer in program execution. More specifically, the review covers the literature on programming…
Descriptors: Computer Science Education, Programming, Introductory Courses, Misconceptions
Velazquez-Iturbide, J. Angel – ACM Transactions on Computing Education, 2013
Greedy algorithms constitute an apparently simple algorithm design technique, but its learning goals are not simple to achieve.We present a didacticmethod aimed at promoting active learning of greedy algorithms. The method is focused on the concept of selection function, and is based on explicit learning goals. It mainly consists of an…
Descriptors: Mathematics, Experimental Teaching, Teaching Methods, Active Learning
Herman, Geoffrey L.; Loui, Michael C.; Kaczmarczyk, Lisa; Zilles, Craig – ACM Transactions on Computing Education, 2012
The ability to reason with formal logic is a foundational skill for computer scientists and computer engineers that scaffolds the abilities to design, debug, and optimize. By interviewing students about their understanding of propositional logic and their ability to translate from English specifications to Boolean expressions, we characterized…
Descriptors: Interviews, Logical Thinking, Computer Science, Scientists

Peer reviewed
Direct link
