About: Weak Student Identification: How Technology Can Help

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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	P S
http://linked.open...avai/riv/aktivity	P(LA09016), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Bydžovská, Hana Popelínský, Lubomír
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	56017
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/14:00076035
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	student performance; social network analysis; educational data mining; prediction; university information system (en)
http://linked.open.../riv/klicoveSlovo	educational data mining prediction social network analysis student performance university information system
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	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bydžovská, Hana Popelínský, Lubomír
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-30 (xsd:date)
issn	2048-8637
number of pages	9 (xsd:int)
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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