Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
Descriptor
| Computer Science Education | 4 |
| Task Analysis | 4 |
| Algebra | 2 |
| Coding | 2 |
| Difficulty Level | 2 |
| Problem Solving | 2 |
| Programming | 2 |
| Student Attitudes | 2 |
| Teaching Methods | 2 |
| Abstract Reasoning | 1 |
| Animation | 1 |
| More ▼ | |
Source
| Computer Science Education | 4 |
Author
| Arendasy, Martin | 1 |
| Erik Barendsen | 1 |
| Finke, Sabrina | 1 |
| Jennifer N. Paige | 1 |
| K. Ann Renninger | 1 |
| Kafai, Yasmin | 1 |
| Kemény, Ferenc | 1 |
| Krnjic, Vesna | 1 |
| Landerl, Karin | 1 |
| Litts, Breanne | 1 |
| Lui, Debora | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
Education Level
| Secondary Education | 2 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| Austria | 1 |
| Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
K. Ann Renninger; Ruth C. Elias; Mariko J. Kamiya; Jennifer N. Paige; Raymond A. Youngblood – Computer Science Education, 2025
Background and Context: Integrating computer science (CS) and math in classrooms is an increasingly recognized way for schools to address national CS mandates. There is a need to understand how professional development (PD) can support teachers to integrate. Objective: We examined math teachers' interest, and confidence, in math, CS, and student…
Descriptors: Faculty Development, Teacher Workshops, Computer Science Education, Mathematics Instruction
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
Finke, Sabrina; Kemény, Ferenc; Sommer, Markus; Krnjic, Vesna; Arendasy, Martin; Slany, Wolfgang; Landerl, Karin – Computer Science Education, 2022
Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…
Descriptors: Spatial Ability, Cognitive Ability, Abstract Reasoning, Arithmetic

Peer reviewed
Direct link
