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) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Computer Networks | 1 |
| Correlation | 1 |
| Evidence | 1 |
| Information Technology | 1 |
| Learning Processes | 1 |
| Models | 1 |
| Performance Based Assessment | 1 |
Author
| Behrens, John T. | 1 |
| Chappel, Kristina | 1 |
| Choi, Younyoung | 1 |
| Crawford, Aaron | 1 |
| DiCerbo, Kristen E. | 1 |
| Levy, Roy | 1 |
| Liu, Junhui | 1 |
| Mislevy, Robert J. | 1 |
| Rutstein, Daisy Wise | 1 |
| West, Patti | 1 |
Publication Type
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
West, Patti; Rutstein, Daisy Wise; Mislevy, Robert J.; Liu, Junhui; Choi, Younyoung; Levy, Roy; Crawford, Aaron; DiCerbo, Kristen E.; Chappel, Kristina; Behrens, John T. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2010
A major issue in the study of learning progressions (LPs) is linking student performance on assessment tasks to the progressions. This report describes the challenges faced in making this linkage using Bayesian networks to model LPs in the field of computer networking. The ideas are illustrated with exemplar Bayesian networks built on Cisco…
Descriptors: Bayesian Statistics, Computer Networks, Evidence, Learning Processes


