Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Learning Analytics | 3 |
| Surveys | 3 |
| Academic Achievement | 1 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Attitude Measures | 1 |
| Bayesian Statistics | 1 |
| Bias | 1 |
| Children | 1 |
| Classification | 1 |
| College Entrance Examinations | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Speeches/Meeting Papers | 2 |
| Journal Articles | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Secondary Education | 1 |
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
| National Education… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textLee, Jaekyung; Jaeger, Joseph – International Journal of Educational Methodology, 2021
What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…
Descriptors: College Readiness, Longitudinal Studies, Databases, Artificial Intelligence
Williamson, Kimberly; Kizilcec, René F. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms such as Bayesian Knowledge Tracing (BKT) can provide students and teachers with helpful information about their progress towards learning objectives. Despite the popularity of BKT in the research community, the algorithm is not widely adopted in educational practice. This may be due to skepticism from users and…
Descriptors: Bayesian Statistics, Learning Processes, Computer Software, Learning Analytics
Tempelaar, Dirk – International Association for Development of the Information Society, 2021
The search for rigor in learning analytics applications has placed survey data in the suspect's corner, favoring more objective trace data. A potential lack of objectivity in survey data is the existence of response styles, the tendency of respondents to answer survey items in a particular biased manner, such as yeah saying or always disagreeing.…
Descriptors: Learning Analytics, Responses, Surveys, Bias
