Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Hierarchical Linear Modeling | 2 |
Learning Strategies | 2 |
Regression (Statistics) | 2 |
Self Efficacy | 2 |
Academic Achievement | 1 |
Anxiety | 1 |
Bayesian Statistics | 1 |
Cognitive Ability | 1 |
College Students | 1 |
Correlation | 1 |
Data Analysis | 1 |
More ▼ |
Author
Carthy, Aiden | 1 |
Gray, Geraldine | 1 |
McGuinness, Colm | 1 |
Obergriesser, Stefanie | 1 |
Owende, Philip | 1 |
Stoeger, Heidrun | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Information Analyses | 1 |
Education Level
Elementary Education | 1 |
Grade 4 | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Postsecondary Education | 1 |
Audience
Location
Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Patterns of Adaptive Learning… | 1 |
Raven Progressive Matrices | 1 |
What Works Clearinghouse Rating
Obergriesser, Stefanie; Stoeger, Heidrun – High Ability Studies, 2015
Research has shown that various individual factors play an important role in the underachievement of gifted students. Most often discussed as predictors of underachievement are motivation, learning behavior, and emotions. To examine which specific constructs from these fields simultaneously predict underachievement among gifted fourth graders,…
Descriptors: Foreign Countries, Underachievement, Elementary School Students, Grade 4
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education