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Bc. Juraj Nižnan

Master's thesis

Učení z dat o řešení problémů

Learning from problem-solving data
Abstract:
Pre inteligentný výukový systém je dôležité rozumieť tomu, ktoré vedomostné koncepty sú precvičované jednotlivými inštanciami problémov. Toto zobrazenie problémov do konceptov môže byť vytvorené expertom, ale tento proces vyžaduje veľa času a je náchylný na chyby. Preskúmavame spôsoby ako zistiť toto zobrazenie automaticky z časov riešenia problémov. Navrhujeme dva jednoduché modely: jeden je založený …more
Abstract:
It is important for an intelligent tutoring system to understand which knowledge concepts are practised by which problem instances. This problem-concept mapping may be created by an expert, but this is time-consuming and error-prone. We explore ways how of detecting this mapping automatically from problem-solving times. We propose two simple models: one based on the k-means algorithm and the other …more
 

Keywords

concept detection educational data mining clustering q-matrix Problem Solving Tutor
 
Language used: English
Date on which the thesis was submitted / produced: 27. 5. 2013
Identifier: https://is.muni.cz/th/chgkn/

Thesis defence

  • Date of defence: 26. 6. 2013
  • Supervisor: doc. Mgr. Radek Pelánek, Ph.D.
  • Reader: doc. RNDr. Tomáš Brázdil, Ph.D.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Informatics / Parallel and Distributed Systems

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