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  • Predicting students' academic performance has long been an important research topic in many academic disciplines. When students enroll in a course, a teacher usually does not know their knowledge and skills. The teacher is faced with a difficult situation how to estimate the students. The knowledge about students' performance can be used for assigning students to seminar groups with respect to their skills needed for the course. The reliable prediction would also help teachers to identify weak students in order to help them to achieve better grades. The main aim of this research is to clarify relationship between students' behavior and their performance at the beginning of the term when there are no data about students' attitude and motivation towards the course. We inspect different data mining techniques how to recognize weak and good students and how to validate designed methods. We also aim to develop a model of students' performance indicators.
  • Predicting students' academic performance has long been an important research topic in many academic disciplines. When students enroll in a course, a teacher usually does not know their knowledge and skills. The teacher is faced with a difficult situation how to estimate the students. The knowledge about students' performance can be used for assigning students to seminar groups with respect to their skills needed for the course. The reliable prediction would also help teachers to identify weak students in order to help them to achieve better grades. The main aim of this research is to clarify relationship between students' behavior and their performance at the beginning of the term when there are no data about students' attitude and motivation towards the course. We inspect different data mining techniques how to recognize weak and good students and how to validate designed methods. We also aim to develop a model of students' performance indicators. (en)
Title
  • Weak Student Identification: How Technology Can Help
  • Weak Student Identification: How Technology Can Help (en)
skos:prefLabel
  • Weak Student Identification: How Technology Can Help
  • Weak Student Identification: How Technology Can Help (en)
skos:notation
  • RIV/00216224:14330/14:00076035!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LA09016), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 56017
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00076035
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • student performance; social network analysis; educational data mining; prediction; university information system (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C9D4E8D1AEE2]
http://linked.open...v/mistoKonaniAkce
  • Copenhagen, Denmark
http://linked.open...i/riv/mistoVydani
  • United Kingdom
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 13th European Conference on e-Learning - ECEL 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bydžovská, Hana
  • Popelínský, Lubomír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2048-8637
number of pages
http://purl.org/ne...btex#hasPublisher
  • Academic Conferences and Publishing International Limited Reading
https://schema.org/isbn
  • 9781910309674
http://localhost/t...ganizacniJednotka
  • 14330
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