A Trust-based Social Recommender for Teachers

Soude Fazeli; Hendrik Drachsler; Francis Brouns; Peter Sloep

A Trust-based Social Recommender for Teachers

Soude Fazeli, Hendrik Drachsler, Francis Brouns, Peter Sloep

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

33 Downloads (Pure)

Abstract

Online communities and networked learning provide teachers with social learning opportunities to interact and collaborate with others in order to develop their personal and professional skills. In this paper, Learning Networks are presented as an open infrastructure to provide teachers with such learning opportunities. However, with the large number of learning resources produced everyday, teachers need to find out what are the most suitable resources for them. In this paper, recommender systems are introduced as a potential solution to address this issue. Unfortunately, most of the educational recommender systems cannot make accurate recommendations due to the sparsity of the educational datasets. To overcome this problem, we propose a research approach that describes how one may take advantage of the social data which are obtained from monitoring the activities of teachers while they are using our social recommender.

Original language	English
Title of host publication	Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012)
Subtitle of host publication	Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012)
Editors	Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos
Publisher	CEUR
Pages	49-60
Number of pages	12
Publication status	Published - 12 Sept 2012
Event	2nd Workshop on Recommender Systems for Technology Enhanced Learning - Saarbrücken, Germany Duration: 18 Sept 2012 → 19 Sept 2012 Conference number: 2

Publication series

Series	CEUR Workshop Proceedings
Volume	896

Workshop

Workshop	2nd Workshop on Recommender Systems for Technology Enhanced Learning
Abbreviated title	RecSysTEL2012
Country/Territory	Germany
City	Saarbrücken
Period	18/09/12 → 19/09/12

Keywords

Learning Network
recommender system
teacher
social data
social networks
sparsity
trust

Access to Document

Populating_Learning_Object_RepositoriesFinal published version, 3 MB

http://ceur-ws.org/Vol-896/paper4.pdf

Cite this

Fazeli, S., Drachsler, H., Brouns, F., & Sloep, P. (2012). A Trust-based Social Recommender for Teachers. In N. Manouselis, H. Drachsler, K. Verbert, & O. C. Santos (Eds.), Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012): Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012) (pp. 49-60). CEUR. http://ceur-ws.org/Vol-896/paper4.pdf

Fazeli, Soude ; Drachsler, Hendrik ; Brouns, Francis et al. / A Trust-based Social Recommender for Teachers. Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012): Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012) . editor / Nikos Manouselis ; Hendrik Drachsler ; Katrien Verbert ; Olga C. Santos. CEUR, 2012. pp. 49-60 (CEUR Workshop Proceedings, Vol. 896).

@inproceedings{1e175261e528442aa761b44eee7867c3,

title = "A Trust-based Social Recommender for Teachers",

abstract = "Online communities and networked learning provide teachers with social learning opportunities to interact and collaborate with others in order to develop their personal and professional skills. In this paper, Learning Networks are presented as an open infrastructure to provide teachers with such learning opportunities. However, with the large number of learning resources produced everyday, teachers need to find out what are the most suitable resources for them. In this paper, recommender systems are introduced as a potential solution to address this issue. Unfortunately, most of the educational recommender systems cannot make accurate recommendations due to the sparsity of the educational datasets. To overcome this problem, we propose a research approach that describes how one may take advantage of the social data which are obtained from monitoring the activities of teachers while they are using our social recommender.",

keywords = "Learning Network, recommender system, teacher, social data, social networks, sparsity, trust",

author = "Soude Fazeli and Hendrik Drachsler and Francis Brouns and Peter Sloep",

year = "2012",

month = sep,

day = "12",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR",

pages = "49--60",

editor = "Nikos Manouselis and Hendrik Drachsler and Katrien Verbert and Santos, {Olga C.}",

booktitle = "Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012)",

note = "2nd Workshop on Recommender Systems for Technology Enhanced Learning , RecSysTEL2012 ; Conference date: 18-09-2012 Through 19-09-2012",

}

Fazeli, S, Drachsler, H , Brouns, F & Sloep, P 2012, A Trust-based Social Recommender for Teachers. in N Manouselis, H Drachsler, K Verbert & OC Santos (eds), Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012): Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012) . CEUR, CEUR Workshop Proceedings, vol. 896, pp. 49-60, 2nd Workshop on Recommender Systems for Technology Enhanced Learning , Saarbrücken, Saarland, Germany, 18/09/12. <http://ceur-ws.org/Vol-896/paper4.pdf>

A Trust-based Social Recommender for Teachers. / Fazeli, Soude; Drachsler, Hendrik ; Brouns, Francis et al.
Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012): Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012) . ed. / Nikos Manouselis; Hendrik Drachsler; Katrien Verbert; Olga C. Santos. CEUR, 2012. p. 49-60 (CEUR Workshop Proceedings, Vol. 896).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - A Trust-based Social Recommender for Teachers

AU - Fazeli, Soude

AU - Drachsler, Hendrik

AU - Brouns, Francis

AU - Sloep, Peter

N1 - Conference code: 2

PY - 2012/9/12

Y1 - 2012/9/12

N2 - Online communities and networked learning provide teachers with social learning opportunities to interact and collaborate with others in order to develop their personal and professional skills. In this paper, Learning Networks are presented as an open infrastructure to provide teachers with such learning opportunities. However, with the large number of learning resources produced everyday, teachers need to find out what are the most suitable resources for them. In this paper, recommender systems are introduced as a potential solution to address this issue. Unfortunately, most of the educational recommender systems cannot make accurate recommendations due to the sparsity of the educational datasets. To overcome this problem, we propose a research approach that describes how one may take advantage of the social data which are obtained from monitoring the activities of teachers while they are using our social recommender.

AB - Online communities and networked learning provide teachers with social learning opportunities to interact and collaborate with others in order to develop their personal and professional skills. In this paper, Learning Networks are presented as an open infrastructure to provide teachers with such learning opportunities. However, with the large number of learning resources produced everyday, teachers need to find out what are the most suitable resources for them. In this paper, recommender systems are introduced as a potential solution to address this issue. Unfortunately, most of the educational recommender systems cannot make accurate recommendations due to the sparsity of the educational datasets. To overcome this problem, we propose a research approach that describes how one may take advantage of the social data which are obtained from monitoring the activities of teachers while they are using our social recommender.

KW - Learning Network

KW - recommender system

KW - teacher

KW - social data

KW - social networks

KW - sparsity

KW - trust

M3 - Conference Article in proceeding

T3 - CEUR Workshop Proceedings

SP - 49

EP - 60

BT - Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012)

A2 - Manouselis, Nikos

A2 - Drachsler, Hendrik

A2 - Verbert, Katrien

A2 - Santos, Olga C.

PB - CEUR

T2 - 2nd Workshop on Recommender Systems for Technology Enhanced Learning

Y2 - 18 September 2012 through 19 September 2012

ER -

Fazeli S, Drachsler H , Brouns F, Sloep P. A Trust-based Social Recommender for Teachers. In Manouselis N, Drachsler H, Verbert K, Santos OC, editors, Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012): Organised jointly by the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012) . CEUR. 2012. p. 49-60. (CEUR Workshop Proceedings, Vol. 896).

A Trust-based Social Recommender for Teachers

Abstract

Publication series

Workshop

Keywords

Access to Document

Fingerprint

Cite this