Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Algorithms | 4 |
Foreign Countries | 4 |
Teaching Methods | 3 |
Computer Science Education | 2 |
Accuracy | 1 |
Arithmetic | 1 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
Computation | 1 |
Concept Formation | 1 |
Division | 1 |
More ▼ |
Source
Computer Science Education | 1 |
Education Economics | 1 |
Informatics in Education | 1 |
Mathematics in School | 1 |
Author
Barendsen, Erik | 2 |
Bayram-Jacobs, Durdane | 2 |
Meijer, Paulien C. | 2 |
Nijenhuis-Voogt, Jacqueline | 2 |
Anghileri, Julia | 1 |
Beishuizen, Meindert | 1 |
Cornelisz, Ilja | 1 |
Eegdeman, Irene | 1 |
Meeter, Martijn | 1 |
van Klaveren, Chris | 1 |
Publication Type
Journal Articles | 4 |
Reports - Research | 2 |
Guides - Classroom - Teacher | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Secondary Education | 2 |
Audience
Location
Netherlands | 4 |
United Kingdom (Great Britain) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Teaching Algorithms in Upper Secondary Education: A Study of Teachers' Pedagogical Content Knowledge
Nijenhuis-Voogt, Jacqueline; Bayram-Jacobs, Durdane; Meijer, Paulien C.; Barendsen, Erik – Computer Science Education, 2023
Background and Context: Computing education is expanding, while the teaching of algorithms is less well studied. Objective: The aim of this study was to examine teachers' pedagogical content knowledge (PCK) for teaching algorithms. Method: We conducted semi-structured interviews with seven computer science (CS) teachers in upper secondary…
Descriptors: Algorithms, Secondary School Teachers, Pedagogical Content Knowledge, Computer Science Education
Eegdeman, Irene; Cornelisz, Ilja; Meeter, Martijn; van Klaveren, Chris – Education Economics, 2023
Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…
Descriptors: Foreign Countries, Vocational Schools, Dropout Characteristics, Dropout Prevention
Nijenhuis-Voogt, Jacqueline; Bayram-Jacobs, Durdane; Meijer, Paulien C.; Barendsen, Erik – Informatics in Education, 2022
Teaching algorithmic thinking enables students to use their knowledge in various contexts to reuse existing solutions to algorithmic problems. The aim of this study is to examine how students recognize which algorithmic concepts can be used in a new situation. We developed a card sorting task and investigated the ways in which secondary school…
Descriptors: Algorithms, Concept Formation, Problem Solving, Thinking Skills

Beishuizen, Meindert; Anghileri, Julia – Mathematics in School, 1998
Compares the approaches to teaching division in Britain and in Holland where different emphasis is placed on the development of mental and written methods. Describes how it is common for pupils in Britain to work from an early stage with pencil and paper rather than mentally whereas early emphasis is placed on mental strategies in Holland. (ASK)
Descriptors: Algorithms, Arithmetic, Computation, Division