Student Learning Progress as Predictor for Graduate Employability Performance
暂无分享，去创建一个
[1] Frederick W. B. Li,et al. Study on student performance estimation, student progress analysis, and student potential prediction based on data mining , 2018, Comput. Educ..
[2] Arnon Hershkovitz,et al. Predicting Robust Learning With the Visual Form of the Moment-by-Moment Learning Curve , 2013 .
[3] Edmond P. Byrne,et al. Making programme learning outcomes explicit for students of process and chemical engineering , 2009 .
[4] Ryan S. Baker,et al. What can moment-by-moment learning curves tell about students’ self-regulated learning? , 2019, Learning and Instruction.
[5] Wahidah Husain,et al. A Review on Predicting Student's Performance Using Data Mining Techniques , 2015 .
[6] Ronald M Harden,et al. Learning outcomes as a tool to assess progression , 2007, Medical teacher.
[7] Karl Pearson F.R.S.. X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling , 2009 .
[8] Pauline Ong,et al. Programme Learning Outcomes Assessment and Continuous Quality Improvement in Faculty of Mechanical and Manufacturing, UTHM , 2017 .