Evaluating an intelligent Q&A system for mobile cultural learning

Article

Doumanis, I. and Smith, S. 2015. Evaluating an intelligent Q&A system for mobile cultural learning. EAI Endorsed Transactions on Future Intelligent Educational Environments. 15 (2). https://doi.org/10.4108/fiee.1.2.e3
TypeArticle
TitleEvaluating an intelligent Q&A system for mobile cultural learning
AuthorsDoumanis, I. and Smith, S.
Abstract

The paper presents a user study designed to evaluate the impact of an intelligent Q&A system for mobile cultural learning on the user’s subjective impressions and retention performance. We have chosen a recent pedagogical framework for mobile learning as a theoretical foundation for this work and designed our system accordingly. In particular, our Q&A system enables individual learners to interact with unknown cultural content under simulated mobile conditions in a well-organised and structured manner using natural language. To investigate the impact of the Q&A system on the participants’ retention of cultural content, we compared two variations of the Q&A system in the lab under simulated mobile conditions. The systems differed both in terms of the approach for processing natural language and style of a Q&A session. Below, we present the results of the study and a series of design recommendations that should aid in the development of more robust Q&A models for mobile cultural systems.

Keywordsassisted learning, intelligent interaction, pervasive & ubiquitous education, technology supported education, culturalinformation
Research GroupResearch Group on Development of Intelligent Environments
PublisherICST
JournalEAI Endorsed Transactions on Future Intelligent Educational Environments
ISSN2409-0034
Publication dates
Print16 Jun 2015
Publication process dates
Deposited10 Jul 2015
Accepted28 Aug 2014
Output statusPublished
Publisher's version
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Copyright Statement

Copyright © 2015 I. Doumanis and S. Smith, licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction
in any medium so long as the original work is properly cited.

Additional information

EAI Endorsed Transactions on Future Intelligent Educational Environments 15(2): e3

Digital Object Identifier (DOI)https://doi.org/10.4108/fiee.1.2.e3
LanguageEnglish
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