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Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work.
Arizmendi, Cara J; Bernacki, Matthew L; Rakovic, Mladen; Plumley, Robert D; Urban, Christopher J; Panter, A T; Greene, Jeffrey A; Gates, Kathleen M.
Affiliation
  • Arizmendi CJ; Duke University, Durham, NC, USA. cara.arizmendi@duke.edu.
  • Bernacki ML; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Rakovic M; Centre for Learning Analytics, Monash University, Melbourne, Australia.
  • Plumley RD; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Urban CJ; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Panter AT; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Greene JA; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Gates KM; The University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
Behav Res Methods ; 55(6): 3026-3054, 2023 09.
Article in En | MEDLINE | ID: mdl-36018483
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students / Privacy Type of study: Prognostic_studies / Risk_factors_studies Aspects: Ethics Limits: Humans Language: En Journal: Behav Res Methods Journal subject: CIENCIAS DO COMPORTAMENTO Year: 2023 Document type: Article Affiliation country: United States
Fulltext
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XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students / Privacy Type of study: Prognostic_studies / Risk_factors_studies Aspects: Ethics Limits: Humans Language: En Journal: Behav Res Methods Journal subject: CIENCIAS DO COMPORTAMENTO Year: 2023 Document type: Article Affiliation country: United States