Question-answering through selecting and connecting peer-students

Peter Van Rosmalen; Francis Brouns; Peter Sloep; Liesbeth Kester; Adriana Berlanga; Marlies Bitter-Rijpkema; Rob Koper

Question-answering through selecting and connecting peer-students

Peter Van Rosmalen, Francis Brouns, Peter Sloep, Liesbeth Kester, Adriana Berlanga, Marlies Bitter-Rijpkema, Rob Koper

Research output: Contribution to conference › Paper › Academic

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Abstract

Tutors have only limited time to support the learning process. In this paper, we introduce a model that helps answering the questions of students. The model invokes the knowledge and skills of peer- students by bringing them together based on the combination of questions posed and their study progress; it supports the process with text fragments selected from the material studied. We will explain the model and the use of Latent Semantic Analysis to select and support the peers. Finally, we will discuss the results of a calibration and simulation of the model and present the first results of an experiment with over a 100 students using a prototype of the model for a period of 8 weeks.

Original language	English
Publication status	Published - 15 May 2007

Keywords

peer tutoring
learning network

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Question-answering-ePortfolio-2007-finalAccepted author manuscript, 283 KBLicence: CC BY-NC-ND

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title = "Question-answering through selecting and connecting peer-students",

abstract = "Tutors have only limited time to support the learning process. In this paper, we introduce a model that helps answering the questions of students. The model invokes the knowledge and skills of peer- students by bringing them together based on the combination of questions posed and their study progress; it supports the process with text fragments selected from the material studied. We will explain the model and the use of Latent Semantic Analysis to select and support the peers. Finally, we will discuss the results of a calibration and simulation of the model and present the first results of an experiment with over a 100 students using a prototype of the model for a period of 8 weeks.",

keywords = "peer tutoring, learning network",

author = "{Van Rosmalen}, Peter and Francis Brouns and Peter Sloep and Liesbeth Kester and Adriana Berlanga and Marlies Bitter-Rijpkema and Rob Koper",

note = "DS_Description: Van Rosmalen, P., Brouns, F., Sloep, P. B., Kester, L., Berlanga, A., Bitter-Rijpkema, M., & Koper, R., (2007). Question-answering through selecting and connecting peer-students. Proceedings of the ePortfolio 2007 Conference. October, 18-19, Maastricht, The Netherlands. [See also http://hdl.handle.net/1820/1680 ]",

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month = may,

day = "15",

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TY - CONF

T1 - Question-answering through selecting and connecting peer-students

AU - Van Rosmalen, Peter

AU - Brouns, Francis

AU - Sloep, Peter

AU - Kester, Liesbeth

AU - Berlanga, Adriana

AU - Bitter-Rijpkema, Marlies

AU - Koper, Rob

N1 - DS_Description: Van Rosmalen, P., Brouns, F., Sloep, P. B., Kester, L., Berlanga, A., Bitter-Rijpkema, M., & Koper, R., (2007). Question-answering through selecting and connecting peer-students. Proceedings of the ePortfolio 2007 Conference. October, 18-19, Maastricht, The Netherlands. [See also http://hdl.handle.net/1820/1680 ]

PY - 2007/5/15

Y1 - 2007/5/15

N2 - Tutors have only limited time to support the learning process. In this paper, we introduce a model that helps answering the questions of students. The model invokes the knowledge and skills of peer- students by bringing them together based on the combination of questions posed and their study progress; it supports the process with text fragments selected from the material studied. We will explain the model and the use of Latent Semantic Analysis to select and support the peers. Finally, we will discuss the results of a calibration and simulation of the model and present the first results of an experiment with over a 100 students using a prototype of the model for a period of 8 weeks.

AB - Tutors have only limited time to support the learning process. In this paper, we introduce a model that helps answering the questions of students. The model invokes the knowledge and skills of peer- students by bringing them together based on the combination of questions posed and their study progress; it supports the process with text fragments selected from the material studied. We will explain the model and the use of Latent Semantic Analysis to select and support the peers. Finally, we will discuss the results of a calibration and simulation of the model and present the first results of an experiment with over a 100 students using a prototype of the model for a period of 8 weeks.

KW - peer tutoring

KW - learning network

M3 - Paper

ER -

Question-answering through selecting and connecting peer-students

Abstract

Keywords

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