Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Foreign Countries | 2 |
| Gender Differences | 2 |
| Grading | 2 |
| Matrices | 2 |
| Academic Achievement | 1 |
| Academic Persistence | 1 |
| Aesthetics | 1 |
| Affective Behavior | 1 |
| Age Differences | 1 |
| Algebra | 1 |
| Asynchronous Communication | 1 |
| More ▼ | |
Author
| Güvendir, Meltem Acar | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Stamper, John, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Elementary Education | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Güvendir, Meltem Acar – College Student Journal, 2014
In view of the importance of taking student preferences into account while establishing educational practices, this study explores which faculty member characteristic fourth year students mostly prefer in a higher education institution. A faculty member characteristics form that includes ten characteristics was administered to 419 fourth year…
Descriptors: Preferences, Preservice Teachers, Student Teacher Attitudes, College Faculty
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

Peer reviewed
Direct link
