Instructor-aided asynchronous question answering system for online education and distance learning

Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) in order to imp...

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Autores principales:	Dunwei Wen, John Cuzzola, Lorna Brown, Dr. Kinshuk
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2012
Materias:	automated question answering natural language processing information retrieval LMS distance education online learning Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/b3046531b1cb4ee7a6fd15da1c12131e
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id	oai:doaj.org-article:b3046531b1cb4ee7a6fd15da1c12131e
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spelling	oai:doaj.org-article:b3046531b1cb4ee7a6fd15da1c12131e2021-12-02T19:25:12ZInstructor-aided asynchronous question answering system for online education and distance learning10.19173/irrodl.v13i5.12691492-3831https://doaj.org/article/b3046531b1cb4ee7a6fd15da1c12131e2012-11-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/1269https://doaj.org/toc/1492-3831Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) in order to improve these answers. However, current NLP technology involves intensive computing and thus it is hard to meet the real-time demand of traditional search. This paper introduces a question answering (QA) system particularly suited for delayed-answered questions that are typical in certain asynchronous online and distance learning settings. We exploit the communication delay between student and instructor and propose a solution that integrates into an organization’s existing learning management system. We present how our system fits into an online and distance learning situation and how it can better assist supporting students. The prototype system and its running results show the perspective and potential of this research. Dunwei WenJohn CuzzolaLorna BrownDr. KinshukAthabasca University Pressarticleautomated question answeringnatural language processinginformation retrievalLMSdistance educationonline learningSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 13, Iss 5 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	automated question answering natural language processing information retrieval LMS distance education online learning Special aspects of education LC8-6691
spellingShingle	automated question answering natural language processing information retrieval LMS distance education online learning Special aspects of education LC8-6691 Dunwei Wen John Cuzzola Lorna Brown Dr. Kinshuk Instructor-aided asynchronous question answering system for online education and distance learning
description	Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) in order to improve these answers. However, current NLP technology involves intensive computing and thus it is hard to meet the real-time demand of traditional search. This paper introduces a question answering (QA) system particularly suited for delayed-answered questions that are typical in certain asynchronous online and distance learning settings. We exploit the communication delay between student and instructor and propose a solution that integrates into an organization’s existing learning management system. We present how our system fits into an online and distance learning situation and how it can better assist supporting students. The prototype system and its running results show the perspective and potential of this research.
format	article
author	Dunwei Wen John Cuzzola Lorna Brown Dr. Kinshuk
author_facet	Dunwei Wen John Cuzzola Lorna Brown Dr. Kinshuk
author_sort	Dunwei Wen
title	Instructor-aided asynchronous question answering system for online education and distance learning
title_short	Instructor-aided asynchronous question answering system for online education and distance learning
title_full	Instructor-aided asynchronous question answering system for online education and distance learning
title_fullStr	Instructor-aided asynchronous question answering system for online education and distance learning
title_full_unstemmed	Instructor-aided asynchronous question answering system for online education and distance learning
title_sort	instructor-aided asynchronous question answering system for online education and distance learning
publisher	Athabasca University Press
publishDate	2012
url	https://doaj.org/article/b3046531b1cb4ee7a6fd15da1c12131e
work_keys_str_mv	AT dunweiwen instructoraidedasynchronousquestionansweringsystemforonlineeducationanddistancelearning AT johncuzzola instructoraidedasynchronousquestionansweringsystemforonlineeducationanddistancelearning AT lornabrown instructoraidedasynchronousquestionansweringsystemforonlineeducationanddistancelearning AT drkinshuk instructoraidedasynchronousquestionansweringsystemforonlineeducationanddistancelearning
_version_	1718376581098897408

Instructor-aided asynchronous question answering system for online education and distance learning

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