Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Academic Achievement | 2 |
Educational Needs | 2 |
Individual Differences | 2 |
Predictor Variables | 2 |
Academic Failure | 1 |
Academic Language | 1 |
Academically Gifted | 1 |
Active Learning | 1 |
Affective Behavior | 1 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
More ▼ |
Author
Desmarais, Michel, Ed. | 1 |
Litster, Kristin | 1 |
Lynch, Collin F., Ed. | 1 |
Merceron, Agathe, Ed. | 1 |
Nkambou, Roger, Ed. | 1 |
Roberts, Jillian | 1 |
Publication Type
Collected Works - Proceedings | 1 |
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Higher Education | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Location
Brazil | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Litster, Kristin; Roberts, Jillian – Journal of Research in Special Educational Needs, 2011
The current meta-analysis compares the self-concepts and perceived competencies of gifted and non-gifted students. Using meta-analytic methods to synthesise the results of 40 studies, we found that gifted students scored significantly higher than non-gifted students on measures of academic and behavioural perceived competence, as well as global…
Descriptors: Academically Gifted, Meta Analysis, Self Concept, Gifted
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis