Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
| Coux, Mickael | 1 |
| DiCerbo, Kristen | 1 |
| Higgins, Steve | 1 |
| Kasim, Adetayo | 1 |
| Shkedy, Ziv | 1 |
| Singh, Akansha | 1 |
| Uwimpuhwe, Germaine | 1 |
| Xiao, ZhiMin | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 2 |
| Grade 7 | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Elementary Secondary Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| United Kingdom (England) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkUwimpuhwe, Germaine; Singh, Akansha; Higgins, Steve; Coux, Mickael; Xiao, ZhiMin; Shkedy, Ziv; Kasim, Adetayo – Journal of Experimental Education, 2022
Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This…
Descriptors: Program Effectiveness, Intervention, Multivariate Analysis, Bayesian Statistics
DiCerbo, Kristen – Learning, Media and Technology, 2016
The volume of data that can be captured and stored from students' everyday interactions with digital environments allows for the creation of models of student knowledge, skills, and attributes unobtrusively. However, models and techniques for transforming these data into information that is useful for educators have not been established. This…
Descriptors: Bayesian Statistics, Educational Technology, Electronic Learning, Learning Processes
