Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Correlation | 4 |
| Foreign Countries | 4 |
| Programming | 4 |
| Computer Science Education | 3 |
| Computer Software | 2 |
| Self Efficacy | 2 |
| Student Attitudes | 2 |
| Academic Achievement | 1 |
| Age Differences | 1 |
| Difficulty Level | 1 |
| Digital Literacy | 1 |
| More ▼ | |
Source
| Informatics in Education | 4 |
Author
| Cetin, Ibrahim | 1 |
| Gurer, Melih Derya | 1 |
| Jirí Vanícek | 1 |
| Jochems, Wim M. G. | 1 |
| Muhammed Murat Gümüs | 1 |
| Perrenet, Jacob | 1 |
| Saeli, Mara | 1 |
| Top, Ercan | 1 |
| Volkan Kukul | 1 |
| Václav Dobiáš | 1 |
| Václav Šimandl | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
| Tests/Questionnaires | 2 |
Education Level
| Secondary Education | 4 |
| Elementary Education | 1 |
| High Schools | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Turkey | 2 |
| Czech Republic | 1 |
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
Václav Dobiáš; Václav Šimandl; Jirí Vanícek – Informatics in Education, 2024
The paper discusses an alternative method of assessing the difficulty of pupils' programming tasks to determine their age appropriateness. Building a program takes the form of its successive iterations. Thus, it is possible to monitor the number of times such a program was built by the solver. The variance of the number of program builds can be…
Descriptors: Difficulty Level, Computer Science Education, Programming, Task Analysis
Gurer, Melih Derya; Cetin, Ibrahim; Top, Ercan – Informatics in Education, 2019
The aim of this study was to investigate the factors affecting the pre-service computer science teachers' attitudes towards computer programming (ATCP). The sample consists of 119 preservice teachers at a public state university. The influences of students' demographic characteristics (gender, grade level, and high school type), their achievement…
Descriptors: Programming, Preservice Teachers, State Universities, Academic Achievement
Saeli, Mara; Perrenet, Jacob; Jochems, Wim M. G.; Zwaneveld, Bert – Informatics in Education, 2012
In this article we report about a study to assess Dutch teachers' Pedagogical Content Knowledge (PCK), with special focus on programming as a topic in secondary school Informatics education. For this research, we developed an online research instrument: the Online Teacher PCK Analyser (OTPA). The results show that Dutch teachers' PCK scores…
Descriptors: Programming, Pedagogical Content Knowledge, Secondary School Science, Secondary School Teachers

Peer reviewed
