Publication Date
| In 2026 | 0 |
| Since 2025 | 8 |
| Since 2022 (last 5 years) | 41 |
| Since 2017 (last 10 years) | 76 |
| Since 2007 (last 20 years) | 146 |
Descriptor
Source
| Computer Science Education | 180 |
Author
| Malmi, Lauri | 5 |
| Murphy, Laurie | 5 |
| Ben-Ari, Mordechai | 4 |
| Fitzgerald, Sue | 4 |
| Simon, Beth | 4 |
| Zander, Carol | 4 |
| Bennedsen, Jens | 3 |
| Boyer, Kristy Elizabeth | 3 |
| Denny, Paul | 3 |
| Lewandowski, Gary | 3 |
| Luxton-Reilly, Andrew | 3 |
| More ▼ | |
Publication Type
| Journal Articles | 180 |
| Reports - Research | 128 |
| Reports - Descriptive | 24 |
| Reports - Evaluative | 21 |
| Information Analyses | 10 |
| Tests/Questionnaires | 4 |
Education Level
Audience
| Teachers | 4 |
Location
| Finland | 8 |
| Israel | 8 |
| Australia | 7 |
| New Zealand | 6 |
| California | 5 |
| Turkey | 5 |
| United Kingdom | 4 |
| Canada | 3 |
| Denmark | 3 |
| Ireland | 3 |
| Spain | 3 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Draw a Person Test | 1 |
| Motivated Strategies for… | 1 |
| Raven Progressive Matrices | 1 |
| SAT (College Admission Test) | 1 |
| Study Process Questionnaire | 1 |
What Works Clearinghouse Rating
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
Hubbard, Aleata – Computer Science Education, 2018
This review synthesizes literature on computing pedagogical content knowledge (PCK). Shulman introduced PCK in the 1980s to describe the amalgam of knowledge teachers draw upon in their work and use of the construct is increasing in the computing education community. From a systematic search of the literature, I identified 19 articles drawn from 9…
Descriptors: Pedagogical Content Knowledge, Computer Science Education, Technological Literacy, Programming
Çiftci, Serdar; Bildiren, Ahmet – Computer Science Education, 2020
Background and Context: There are studies which indicate that computer programming supports high-level abilities for everyone such as creative thinking, questioning, problem solving and critical thinking which are considered within the scope of 21st-century abilities. Objective: The current experimental study was carried out to put forth the…
Descriptors: Outcomes of Education, Coding, Cognitive Ability, Problem Solving
Guenaga, Mariluz; Eguíluz, Andoni; Garaizar, Pablo; Gibaja, Juanjo – Computer Science Education, 2021
Background and Context: Despite many initiatives to develop Computational Thinking (CT), not much is known about how early programmers develop CT and how we can assess their learning. Objective: Determine if the analysis of students' interactions with an online platform allows understanding the development of CT, how we can convert data collected…
Descriptors: Computation, Thinking Skills, Skill Development, Cognitive Tests
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
Xie, Benjamin; Loksa, Dastyni; Nelson, Greg L.; Davidson, Matthew J.; Dong, Dongsheng; Kwik, Harrison; Tan, Alex Hui; Hwa, Leanne; Li, Min; Ko, Andrew J. – Computer Science Education, 2019
Background and Context: Current introductory instruction fails to identify, structure, and sequence the many skills involved in programming. Objective: We proposed a theory which identifies four distinct skills that novices learn incrementally. These skills are tracing, writing syntax, comprehending templates (reusable abstractions of programming…
Descriptors: Programming, Skill Development, Computer Science Education, Instructional Design
Lui, Debora; Kafai, Yasmin; Litts, Breanne; Walker, Justice; Widman, Sari – Computer Science Education, 2020
Background and Context: Physical computing involves complex negotiations of multiple, on and off-screen tasks, which calls for research on how to best structure collaborative work to ensure equitable learning. Objective: We focus on how pairs self-organized their multi-domain tasks in physical computing, and how their social interactions supported…
Descriptors: Cooperative Learning, High School Students, Computer Science Education, Programming
Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education
Haroldson, Rachelle; Ballard, Dave – Computer Science Education, 2021
Background and Content: Many children's books related to computer science have been published in the last five years, creating opportunities to integrate these texts into the classroom. Objective: Determine where the children's books support an inclusive computing culture by representing people with diverse intersectional identities engaging in…
Descriptors: Picture Books, Childrens Literature, Cartoons, Novels
Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
Huang, Wendy; Looi, Chee-Kit – Computer Science Education, 2021
Background and Context: Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K-12 students…
Descriptors: Computer Science Education, Programming, Thinking Skills, Skill Development
Bonet, Nicolás; Garcés, Kelly; Casallas, Rubby; Correal, María Elsa; Wei, Ran – Computer Science Education, 2018
Bad smells affect maintainability and performance of model-to-model transformations. There are studies that define a set of transformation bad smells, and some of them propose techniques to recognize and--according to their complexity--fix them in a (semi)automated way. In academia it is necessary to make students aware of this subject and provide…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Programming
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education

Peer reviewed
Direct link
