Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them
Publication
, Dataset
Rakovic, M; Bernacki, ML; Plumley, RD; Gates, K; Hogan, K; Panter, A; Greene, JA
2020
Duke Scholars
Citation
APA
Chicago
ICMJE
MLA
NLM
Rakovic, M., Bernacki, M. L., Plumley, R. D., Gates, K., Hogan, K., Panter, A., & Greene, J. A. (2020). Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them. https://doi.org/10.1037/e503452022-001
Rakovic, Mladen, Matthew L. Bernacki, Robert D. Plumley, Kathleen Gates, Kelly Hogan, Abigail Panter, and Jeffrey A. Greene. “Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them,” 2020. https://doi.org/10.1037/e503452022-001.
Rakovic M, Bernacki ML, Plumley RD, Gates K, Hogan K, Panter A, et al. Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them. 2020.
Rakovic, Mladen, et al. Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them. 2020. Crossref, doi:10.1037/e503452022-001.
Rakovic M, Bernacki ML, Plumley RD, Gates K, Hogan K, Panter A, Greene JA. Data-driven prediction of students likely to perform poorly and theory-aligned ways to support them. 2020.