Automatic Detection of Concepts from Problem Solving Times

PELÁNEK, Radek, Petr BOROŠ, Juraj NIŽNAN and Jiří ŘIHÁK. Automatic Detection of Concepts from Problem Solving Times. In Lane, H.C.; Yacef, K.; Mostow, J.; Pavlik, P. Artificial Intelligence in Education. USA: Springer, 2013, p. 595-598. ISBN 978-3-642-39111-8. Available from: https://dx.doi.org/10.1007/978-3-642-39112-5_67.

Basic information

Original name

Automatic Detection of Concepts from Problem Solving Times

Name in Czech

Automatická detekce konceptů v datech o časech řešení problémů

Authors

PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution), Petr BOROŠ (203 Czech Republic, belonging to the institution), Juraj NIŽNAN (703 Slovakia, belonging to the institution) and Jiří ŘIHÁK (203 Czech Republic, belonging to the institution)

Edition

USA, Artificial Intelligence in Education, p. 595-598, 4 pp. 2013

Publisher

Springer

---

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/13:00070141

Organization unit

Faculty of Informatics

ISBN

978-3-642-39111-8

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-39112-5_67

Keywords in English

problem solving; concepts; student modeling

Tags

core_A, firank_A

Tags

International impact, Reviewed

---

Abstract

V originále

Intelligent tutoring systems need to know a mapping between particular problems and general domain concepts. Such mapping can be constructed manually by an expert, but that is time consuming and error prone. Our aim is to detect concepts automatically from problem solving times. We propose and evaluate two approaches: a model of problem solving times with multidimensional skill and an application of spectral clustering. The results show that it is feasible to construct a problem-concept mapping from solely the problem solving times and that the results of the analysis can bring an interesting insight.

---

Links

LG13010, research and development project	Name: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ) Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0739/2012, interní kód MU	Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU) Investor: Masaryk University, Category A
MUNI/A/0760/2012, interní kód MU	Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace II. (Acronym: FI MAV II.) Investor: Masaryk University, Category A