The Possibility of Predicting Learning Performance Using Features of Note-Taking Activities and Instructions in a Blended Learning Environment

Author:

Nakayama Minoru,Mutsuura Kouichi,Yamamoto Hiroh

Publisher

Springer Singapore

Reference35 articles.

1. Nakayama M, Mutsuura K, Yamamoto H (2017) The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment. Int J Educ Technol Higher Educ 14(6):1–14

2. Seaton DT, Bergner Y, Chuang I, Mitros P, Pritchard DE (2014) Who does what in a massive open online course? Commun ACM 57(4):58–65

3. Seaton DT, Nesterko S, Mullaney T, Reich J, Ho A (2014) Characterizing video use in the catalogue of MITx MOOCs. ELearning Papers (37):33–41

4. Ueno M (2007) Online outlier detection for e-learning time data. IEICE Trans J90-D, 40–51 (2007)

5. Nakayama M, Kanazawa H, Yamamoto H (2009) Detecting incomplete learners in a blended learning environment among japanese university students. International Journal of Emerging Technology in Learning 4(1):47–51

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