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Volumn , Issue , 2013, Pages

Adapting Bayesian knowledge tracing to a massive open online course in edX

Author keywords

Bayesian knowledge tracing; EdX; MOOC; Probabilistic graphical models; Resource model

Indexed keywords

CURRICULA; DATA MINING; ENERGY DISPERSIVE SPECTROSCOPY; LEARNING SYSTEMS; OPEN DATA;

EID: 85084012673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (89)

References (22)
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    • Does help help? Introducing the bayesian evaluation and assessment methodology
    • Springer Berlin/Heidelberg
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    • Beck, J.1    Chang, K.M.2    Mostow, J.3    Corbett, A.4
  • 10
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    • Lovett, M.C.1
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    • Evaluating and improving adaptive educational systems with learning curves
    • 2011
    • Martin, B., Mitrovic, T., Mathan, S., & Koedinger, K.R. (2011). Evaluating and improving adaptive educational systems with learning curves. User Model User-Adap Inter (2011) 21:249–283.
    • (2011) User Model User-Adap Inter , vol.21 , pp. 249-283
    • Martin, B.1    Mitrovic, T.2    Mathan, S.3    Koedinger, K.R.4
  • 16
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    • Gender differences in the use of an online homework system in an introductory physics course
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    • Immediate feedback and opportunity to revise answers application of a graded response IRT model
    • Attali, Yigal. "Immediate Feedback and Opportunity to Revise Answers Application of a Graded Response IRT Model." Applied Psychological Measurement 35.6 (2011): 472-479.
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  • 19
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    • Learning for mastery
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.