About: Knowledge mining from adaptive course     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Mining knowledge from logs of adaptive system is one of methods, how to obtain information, which can be used to verify used adaptation scheme and to determinate possible modifications of learning materials. This paper is focusing on statistic methods, which can show differences between several groups of users and determine knowledge cohesion of users in progress and at the end of the course. To determine difficult or simple questions in tests level of relevancy can be used. For log processing can be used methods of data analysis, such as clustering or decision trees. These methods are useful for detection of navigation in course and for determination, which parts of offered learning material is necessary to know for particular final mark.
  • Mining knowledge from logs of adaptive system is one of methods, how to obtain information, which can be used to verify used adaptation scheme and to determinate possible modifications of learning materials. This paper is focusing on statistic methods, which can show differences between several groups of users and determine knowledge cohesion of users in progress and at the end of the course. To determine difficult or simple questions in tests level of relevancy can be used. For log processing can be used methods of data analysis, such as clustering or decision trees. These methods are useful for detection of navigation in course and for determination, which parts of offered learning material is necessary to know for particular final mark. (en)
  • Mining knowledge from logs of adaptive system is one of methods, how to obtain information, which can be used to verify used adaptation scheme and to determinate possible modifications of learning materials. This paper is focusing on statistic methods, which can show differences between several groups of users and determine knowledge cohesion of users in progress and at the end of the course. To determine difficult or simple questions in tests level of relevancy can be used. For log processing can be used methods of data analysis, such as clustering or decision trees. These methods are useful for detection of navigation in course and for determination, which parts of offered learning material is necessary to know for particular final mark. (cs)
Title
  • Knowledge mining from adaptive course
  • Knowledge mining from adaptive course (en)
  • Knowledge mining from adaptive course (cs)
skos:prefLabel
  • Knowledge mining from adaptive course
  • Knowledge mining from adaptive course (en)
  • Knowledge mining from adaptive course (cs)
skos:notation
  • RIV/61988987:17310/07:A1000KU9!RIV10-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), V
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
  • 429217
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/07:A1000KU9
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • e-learning; learning technology; web-based courses; adaptive hypermedia; AHA!; statistical evaluation; data analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7231E0CE486B]
http://linked.open...v/mistoKonaniAkce
  • Stara Lesna, High Tatras, Slovakia
http://linked.open...i/riv/mistoVydani
  • Košice, Slovensko
http://linked.open...i/riv/nazevZdroje
  • Conference Proceedings from 5th International Conference on Emerging e-Learning Technologies and Applications - ICETA 2007
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
  • Šaloun, Petr
  • Velart, Zdeněk
  • Bober, Marek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • elfa, s.r.o., Kosice
https://schema.org/isbn
  • 978-80-8086-061-5
http://localhost/t...ganizacniJednotka
  • 17310
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software