Automatic content related feedback for MOOCs based on course domain ontology

Safwan Shatnawi; Mohamed Medhat  Gaber; Mihaela Cocea

doi:10.1007/978-3-319-10840-7_4

Automatic content related feedback for MOOCs based on course domain ontology

Safwan Shatnawi
, Mohamed Medhat Gaber
, Mihaela Cocea

Robert Gordon University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

429 Downloads (Pure)

Abstract

MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.

Original language	English
Title of host publication	Intelligent data engineering and automated learning – IDEAL 2014
Subtitle of host publication	15th International Conference, Salamanca, Spain, September 10-12, 2014. proceedings
Place of Publication	Berlin
Publisher	Springer
Pages	27-35
ISBN (Electronic)	9783319108407
ISBN (Print)	9783319108391
DOIs	https://doi.org/10.1007/978-3-319-10840-7_4
Publication status	Published - 2014
Event	IDEAL Conference 2014 - Salamanca, Spain Duration: 10 Sept 2014 → 12 Sept 2014

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	8669
ISSN (Print)	0302-9743

Conference

Conference	IDEAL Conference 2014
Country/Territory	Spain
City	Salamanca
Period	10/09/14 → 12/09/14

Keywords

automatic feedback
topic detection
ontologies
clustering
MOOCS

Access to Document

10.1007/978-3-319-10840-7_4

Ideal14
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10840-7_4
Accepted author manuscript (Post-print), 301 KB

Cite this

Shatnawi, S., Gaber, M. M., & Cocea, M. (2014). Automatic content related feedback for MOOCs based on course domain ontology. In Intelligent data engineering and automated learning – IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014. proceedings (pp. 27-35). (Lecture notes in computer science ; Vol. 8669). Springer. https://doi.org/10.1007/978-3-319-10840-7_4

@inproceedings{a94375af53814fb7bd02eba76a793ca2,

title = "Automatic content related feedback for MOOCs based on course domain ontology",

abstract = "MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.",

keywords = "automatic feedback, topic detection, ontologies, clustering, MOOCS",

author = "Safwan Shatnawi and Gaber, \{Mohamed Medhat\} and Mihaela Cocea",

note = "“The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10840-7\_4”.; IDEAL Conference 2014 ; Conference date: 10-09-2014 Through 12-09-2014",

year = "2014",

doi = "10.1007/978-3-319-10840-7\_4",

language = "English",

isbn = "9783319108391",

series = "Lecture notes in computer science ",

publisher = "Springer",

pages = "27--35",

booktitle = "Intelligent data engineering and automated learning – IDEAL 2014",

address = "Netherlands",

}

Shatnawi, S, Gaber, MM & Cocea, M 2014, Automatic content related feedback for MOOCs based on course domain ontology. in Intelligent data engineering and automated learning – IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014. proceedings. Lecture notes in computer science , vol. 8669, Springer, Berlin, pp. 27-35, IDEAL Conference 2014, Salamanca, Spain, 10/09/14. https://doi.org/10.1007/978-3-319-10840-7_4

Automatic content related feedback for MOOCs based on course domain ontology. / Shatnawi, Safwan; Gaber, Mohamed Medhat ; Cocea, Mihaela.
Intelligent data engineering and automated learning – IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014. proceedings. Berlin: Springer, 2014. p. 27-35 (Lecture notes in computer science ; Vol. 8669).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automatic content related feedback for MOOCs based on course domain ontology

AU - Shatnawi, Safwan

AU - Gaber, Mohamed Medhat

AU - Cocea, Mihaela

N1 - “The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10840-7_4”.

PY - 2014

Y1 - 2014

N2 - MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.

AB - MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera show the potential of our approach in creating a responsive learning environment.

KW - automatic feedback

KW - topic detection

KW - ontologies

KW - clustering

KW - MOOCS

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DO - 10.1007/978-3-319-10840-7_4

M3 - Conference contribution

SN - 9783319108391

T3 - Lecture notes in computer science

SP - 27

EP - 35

BT - Intelligent data engineering and automated learning – IDEAL 2014

PB - Springer

CY - Berlin

T2 - IDEAL Conference 2014

Y2 - 10 September 2014 through 12 September 2014

ER -

Automatic content related feedback for MOOCs based on course domain ontology

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Conference

Keywords

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Cite this