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Volumn , Issue , 2016, Pages 127-134

MOOC learner behaviors by country and culture; An exploratory analysis

Author keywords

[No Author keywords available]

Indexed keywords

E-LEARNING; LARGE DATASET; STUDENTS;

EID: 85016462437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (31)
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    • Barak, M.1    Watted, A.2    Haick, H.3
  • 4
    • 85016481582 scopus 로고    scopus 로고
    • Methodological challenges in the analysis of MOOC data for exploring the relationship between discussion forum views and learning outcomes
    • Y. Bergner, D. Kerr, and D. E. Pritchard. Methodological challenges in the analysis of MOOC data for exploring the relationship between discussion forum views and learning outcomes. In The 8th Int. conf. on Educational Data Mining, 2015.
    • (2015) The 8th Int. Conf. On Educational Data Mining
    • Bergner, Y.1    Kerr, D.2    Pritchard, D.E.3
  • 5
    • 84955609776 scopus 로고    scopus 로고
    • A time series interaction analysis method for building predictive models of learners using log data
    • C. Brooks, C. Thompson, and S. Teasley. A time series interaction analysis method for building predictive models of learners using log data. In In the Fifth Int. conf. on Learning Analytics And Knowledge, pages 126–135, 2015.
    • (2015) The Fifth Int. Conf. On Learning Analytics and Knowledge , pp. 126-135
    • Brooks, C.1    Thompson, C.2    Teasley, S.3
  • 7
    • 84983043735 scopus 로고    scopus 로고
    • Negativity in massive online open courses: Impacts on learning and teaching and how instructional teams may be able to address it
    • D. Comer, R. Baker, and Y. Wang. Negativity in massive online open courses: Impacts on learning and teaching and how instructional teams may be able to address it. Journal of the Center for Excellence in Teaching and Learning, 10:92–106, 2015.
    • (2015) Journal of the Center for Excellence in Teaching and Learning , vol.10 , pp. 92-106
    • Comer, D.1    Baker, R.2    Wang, Y.3
  • 10
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    • Examining engagement: Analysing learner subpopulations in massive open online courses (MOOCs)
    • R. Ferguson and D. Clow. Examining engagement: analysing learner subpopulations in massive open online courses (MOOCs). In the Fifth Int. conf. on Learning Analytics And Knowledge ACM, pages 51–58, 2015.
    • (2015) The Fifth Int. Conf. On Learning Analytics and Knowledge ACM , pp. 51-58
    • Ferguson, R.1    Clow, D.2
  • 15
    • 85033365856 scopus 로고    scopus 로고
    • Cultural dimensions of learning in online teacher education courses
    • A. N. Hunt and S. Tickner. Cultural dimensions of learning in online teacher education courses. Journal of Open, Flexible and Distance Learning, 19(2):25–47, 2015.
    • (2015) Journal of Open, Flexible and Distance Learning , vol.19 , Issue.2 , pp. 25-47
    • Hunt, A.N.1    Tickner, S.2
  • 18
    • 18444366830 scopus 로고    scopus 로고
    • In search of an east asian identity in mathematics education
    • F. K. Leung. In search of an East Asian identity in mathematics education. Educational Studies in Mathematics, 17(1), 35-51, 2001.
    • (2001) Educational Studies in Mathematics , vol.17 , Issue.1 , pp. 35-51
    • Leung, F.K.1
  • 25
    • 84890750109 scopus 로고    scopus 로고
    • Student off-task behavior in computer-based learning in the philippines: Comparison to prior research in the USA
    • M. M. T. Rodrigo, R. S. J. D. Baker, and L. Rossi. Student off-task behavior in computer-based learning in the Philippines: comparison to prior research in the usa. Teachers College Record, 115(10):1–27, 2013.
    • (2013) Teachers College Record , vol.115 , Issue.10 , pp. 1-27
    • Rodrigo, M.M.T.1    Baker, R.S.J.D.2    Rossi, L.3
  • 26
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    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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    • Do country stereotypes exist in PISA? A clustering approach for large, sparse, and weighted data
    • M. Saarela and T. Kärkkäinen. Do country stereotypes exist in PISA? a clustering approach for large, sparse, and weighted data. In The 8th Int. conf. on Educational Data Mining, 2015.
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    • Are the learning styles of asian int. Students culturally or contextually based?
    • J. K. K. Wong. Are the learning styles of Asian int. students culturally or contextually based? Int. Education Journal, 4(4), 154-166, 2004.
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    • Wong, J.K.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.