Automatic Item Generation for Elementary Logic Quizzes via Markov Logic Networks

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Author(s): Davor Lauc (University of Zagreb, Croatia), Nina Grgić Hlača (University of Zagreb, Croatia)and Sandro Skansi (Infigo IS, Croatia)
Copyright: 2016
Pages: 10
Source title: User-Centered Design Strategies for Massive Open Online Courses (MOOCs)
Source Author(s)/Editor(s): Ricardo Mendoza-Gonzalez (Instituto Tecnologico de Aguascalientes, Mexico)
DOI: 10.4018/978-1-4666-9743-0.ch011

Keywords: Education / Educational Technologies / Information Science Reference / Web-Based Teaching & Learning

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Abstract

The aim of this chapter is to present an exam preparation system designed to generate exams for propositional logic. The main challenge was to determine a filter to single out relevant problems. An expert assessment was used to generate initial learning data for Markov Logic Network and then the result was analyzed in terms of evaluation conducted on students. The results point out that there is no significant difference (p-value of 0.2708) between problems prepared by a human examiner and problems generated.

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Automatic Item Generation for Elementary Logic Quizzes via Markov Logic Networks

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