Detailed Information on Publication Record
2013
Tutoring and Automatic Evaluation of Logic Proofs
VACULÍK, Karel, Lubomír POPELÍNSKÝ, Eva MRÁKOVÁ and Juraj JURČOBasic 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.