D 2013

Tutoring and Automatic Evaluation of Logic Proofs

VACULÍK, Karel, Lubomír POPELÍNSKÝ, Eva MRÁKOVÁ and Juraj JURČO

Basic information

Original name

Tutoring and Automatic Evaluation of Logic Proofs

Authors

VACULÍK, Karel (203 Czech Republic, guarantor, belonging to the institution), Lubomír POPELÍNSKÝ (203 Czech Republic, belonging to the institution), Eva MRÁKOVÁ (203 Czech Republic, belonging to the institution) and Juraj JURČO (703 Slovakia, belonging to the institution)

Edition

Sophia Antipolis, France, Proceedings of the 12th European Conference on e-Learning ECEL 2013, p. 495-502, 8 pp. 2013

Publisher

Academic Conferences and Publishing International

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/13:00070404

Organization unit

Faculty of Informatics

ISBN

978-1-909507-84-5

ISSN

UT WoS

000342674900062

Keywords (in Czech)

dolování z grafů; logické důkazy; rezoluce; automatické vyhodnocování; časté podgrafy; klasifikace

Keywords in English

graph mining; logic proofs; resolution; automatic evaluation; frequent subgraphs; classification

Tags

International impact, Reviewed
Změněno: 24/4/2014 19:00, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Tutoring of logic proofs is an important part of undergraduate courses of logic. Commonly, a tutor trains and tests students’ skills to build correct logic proofs. We introduce a system for training of students’ ability to construct correct proofs in propositional or predicate logic. In addition to common techniques including presentations supported by slides and exercises we use animations which are based on carefully selected demonstrative examples and their step-by-step solutions. Animations are interactive so that a student may choose a particular step, a sequence of steps, and/or a particular task. In order to test students’ knowledge, we prepared a questionnaire that captures the entire process of a logic proof construction. A student constructs a proof and then answers questions from the questionnaire. We describe the design of the questionnaire and discuss its dis/advantages. We then apply frequent subgraph mining together with supervised machine learning algorithms to perform an automatic evaluation of correctness of the proofs. In addition to classifying the proofs as correct or incorrect, a report containing the summary of errors and suggested penalty points is produced.