Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Correlation | 2 |
| Performance Based Assessment | 2 |
| Assignments | 1 |
| College Students | 1 |
| Computer Networks | 1 |
| Data Analysis | 1 |
| Evaluation Criteria | 1 |
| Evidence | 1 |
| Exit Examinations | 1 |
| Grades (Scholastic) | 1 |
| More ▼ | |
Author
| Behrens, John T. | 1 |
| Chappel, Kristina | 1 |
| Choi, Younyoung | 1 |
| Crawford, Aaron | 1 |
| DiCerbo, Kristen E. | 1 |
| Johnson, Jessica | 1 |
| Levy, Roy | 1 |
| Liu, Junhui | 1 |
| Mislevy, Robert J. | 1 |
| Rhodes, Ashley E. | 1 |
| Rozell, Timothy G. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkRozell, Timothy G.; Johnson, Jessica; Sexten, Andrea; Rhodes, Ashley E. – Journal of College Science Teaching, 2017
Students in a junior- and senior-level Anatomy and Physiology course have the opportunity to correct missed exam questions ("regrade") and earn up to half of the original points missed. The three objectives of this study were to determine if: (a) performance on the regrade assignment was correlated with scores on subsequent exams, (b)…
Descriptors: Physiology, Scores, Grades (Scholastic), Exit Examinations
Download full textWest, 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
