Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
Descriptor
| Beliefs | 1 |
| Constructivism (Learning) | 1 |
| Data Analysis | 1 |
| Educational Environment | 1 |
| Foreign Countries | 1 |
| Gender Differences | 1 |
| Learning Strategies | 1 |
| Likert Scales | 1 |
| Motivation | 1 |
| Preservice Teachers | 1 |
| Questionnaires | 1 |
| More ▼ | |
Source
| Journal of Baltic Science… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Constructivist Learning… | 1 |
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textKingir, Sevgi; Gok, Bilge; Bozkir, Ahmet Selman – Journal of Baltic Science Education, 2020
Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…
Descriptors: Data Analysis, Preservice Teachers, Science Teachers, Motivation
