Predicting students’ academic performance using multiple linear regression and principal component analysis

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  應用巨量資料技術探討MOOCs學習者之課程影片關聯性分析與適性化教材推薦(2/3)

  Yang, S. J. H. (PI)

  1/08/17 → 31/07/18

  研究計畫: Research

  • Student Academic Performance 100%
  • Learning Analytics 87%
  • Principal Components 66%
  • Principal Coordinate Analysis (PCoA) 50%
  • Early Prediction 50%

• 應用巨量資料於改善MOOCs學習分析之實證研究：以大學微積分為例(1/3)

  Yang, S. J. H. (PI)

  1/08/17 → 31/07/18

  研究計畫: Research

  • Student Academic Performance 100%
  • Learning Analytics 87%
  • Principal Components 66%
  • Multiple Linear Regression 50%
  • Principal Coordinate Analysis (PCoA) 50%

• 產學合作計畫－以巨量資料為基礎之學習分析：應用於校務研究系統之開發

  Yang, S. J. H. (PI)

  1/11/16 → 31/10/17

  研究計畫: Research

  • Learning Analytics 100%
  • Student Academic Performance 92%
  • Learning Outcome 41%
  • Educational Big Data 41%
  • Principal Components 41%

• 結合行動及雲端科技之實境探究學習模式之實證應用、學習成效與歷程分析(2/2)

  Yang, S. J. H. (PI)

  1/08/16 → 31/07/17

  研究計畫: Research

  • Learning Analytics 100%
  • Learning Outcomes 90%
  • Student Learning 84%
  • Student Academic Performance 72%
  • Learning Experiences 72%