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Volumn , Issue , 2016, Pages 589-590

Predicting STEM achievement with learning management system data: Prediction modeling and a test of an early warning system

Author keywords

Early Warning Systems; Learning Management Systems; Learning Theory; Prediction Modeling; STEM learning

Indexed keywords

DATA MINING; FORECASTING; INFORMATION MANAGEMENT; STEM (SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS);

EID: 85051922531     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (7)
  • 2
    • 84880992333 scopus 로고    scopus 로고
    • Sustaining optimal motivation: A longitudinal analysis of interventions to broaden participation of underrepresented students in STEM
    • Hernandez, P. R., Schultz, P., Estrada, M., Woodcock, A., & Chance, R. C. (2013). Sustaining optimal motivation: A longitudinal analysis of interventions to broaden participation of underrepresented students in STEM. Journal of educational psychology, 105(1), 89.
    • (2013) Journal of Educational Psychology , vol.105 , Issue.1 , pp. 89
    • Hernandez, P.R.1    Schultz, P.2    Estrada, M.3    Woodcock, A.4    Chance, R.C.5
  • 4
    • 71549171729 scopus 로고    scopus 로고
    • Mining LMS data to develop an “early warning system” for educators: A proof of concept
    • Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & Education, 54(2), 588-599.
    • (2010) Computers & Education , vol.54 , Issue.2 , pp. 588-599
    • Macfadyen, L.P.1    Dawson, S.2
  • 7
    • 85072275555 scopus 로고    scopus 로고
    • Retrieved from
    • Splunk [Computer software]. (2015). Retrieved from http://www.splunk.com.
    • (2015) Splunk [Computer Software]


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.