Prediction of learner’s appropriate online community of practice in question and answering website: similarity in interaction, interest, prior knowledge-Reference-Cited by-同舟云学术

Prediction of learner’s appropriate online community of practice in question and answering website: similarity in interaction, interest, prior knowledge

Published:2019-04-29 Issue:4 Volume:29 Page:670-687
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Rezaei Mohammadsadegh¹^ORCID,Bobarshad Hossein¹,Badie Kambiz²

Affiliation:

1. Department of Interdisciplinary Technology, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

2. Faculty of Engineering Science, University of Tehran, Tehran, Iran

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2019.1605384

Reference68 articles.

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2. Anjorin, M., Dackiewicz, I., Fernández, A. & Rensing, C. (2012). A framework for cross-platform graph-based recommendations for TEL. Proceedings of the 2nd workshop on Recommender Systems in Technology Enhanced Learning (pp. 83–88).

3. Motivation and barriers to participation in virtual knowledge‐sharing communities of practice

4. Belief Measure of Expertise for Experts Detection in Question Answering Communities: case study Stack Overflow

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