Educational data mining for analysis of students? solutions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00077051" target="_blank" >RIV/00216224:14330/14:00077051 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Educational data mining for analysis of students? solutions

Original language description

We introduce novel methods for analysis of logic proofs constructed by undergraduate students. The methods employ sequence mining for manipulation with temporal information about all actions that a student performed, and also graph mining for finding frequent subgraphs on different levels of generalization. We showed in [8-11] that these representations allow us to find interesting subgroups of similar solutions and also to detect outlying solutions. Specifically, distribution of errors is not independent on behavioral patterns and we were able to find clusters of erroneous solutions. We also observed a significant dependence between time duration of solving the task and an appearance of the most serious error. This text brings a brief summary of fourcontributions [8-11] presented for presentation in the period from October 2013 until September 2014.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Znalosti 2014

ISBN

9788024520544

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

32-35

Publisher name

Vysoká škola ekonomická v Praze

Place of publication

Praha

Event location

Jasná pod Chopkom, Nízké Tatry, Slovakia

Event date

Jan 1, 2014

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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