Title

Evolutionary Practice Problems Generation: Design Guidelines

Keywords

Coevolutionary algorithms; Computer-Aided learning; Interactive evolutionary algorithms

Abstract

This paper identifies design guidelines for the application of evolutionary techniques to the task of generating practice problems for learners in an Intelligent Tutoring System. To this end, we designed experiments that progressively incorporated an increasing number of the characteristics we expect to find in our target application. These features included noisy evaluations, overspecialization, and the need to mitigate user fatigue resulting from interactive evaluations of practice problems. As we did so, we evaluated the potential of recent breakthroughs in coevolutionary learning theory and identified the tradeoff specific to educational applications.

Publication Date

1-11-2017

Publication Title

Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016

Number of Pages

544-548

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICTAI.2016.86

Socpus ID

85013629809 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85013629809

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