An Overview Of Studies About Students' Performance Analysis and Learning Analytics in MOOCs

DURU İ., DOĞAN G., DİRİ B.

4th IEEE International Conference on Big Data (Big Data), Washington, Kiribati, 5 - 08 Aralık 2016, ss.1719-1723 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/bigdata.2016.7840786
  • Basıldığı Şehir: Washington
  • Basıldığı Ülke: Kiribati
  • Sayfa Sayıları: ss.1719-1723
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this paper, we aimed to guide about latest development and studies about students' performance analysis and Learning Analytics in Massively Open Online Courses ( MOOCs) for researchers related with the topics. For this purpose short review for usage of performance prediction and Learning Analytics in MOOCs is investigated

Abstract:

In this paper, we aimed to guide about latest development and studies about students` performance analysis and Learning Analytics in Massively Open Online Courses (MOOCs) for researchers related with the topics. For this purpose short review for usage of performance prediction and Learning Analytics in MOOCs is investigated. In our study, to help readers get familiar with our topic, firstly literature information about basic concepts are explained. Then to understand features` importance level and their relationships more detailed, information about some papers were provided. After that, findings about usage of student performance prediction and Learning Analytics in MOOCs are summarized.