Pilot Recommender System Enabling Students to Indirectly Help Each Other and Foster Belonging Through Reflections-Reference-Cited by-同舟云学术

Pilot Recommender System Enabling Students to Indirectly Help Each Other and Foster Belonging Through Reflections

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:LAK22: 12th International Learning Analytics and Knowledge Conference
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Author:

Benedict Aileen¹,Al-Hossami Erfan¹,Dorodchi Mohsen¹,Benedict Alexandria¹,Wiktor Sandra¹

Affiliation:

1. The University of North Carolina at Charlotte, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3506860.3506903

Reference34 articles.

1. Charu C Aggarwal 2016. Recommender systems. Vol. 1 . Springer . Charu C Aggarwal 2016. Recommender systems. Vol. 1. Springer.

2. A large annotated corpus for learning natural language inference

3. Simon Buckingham Shum , Agnes Sandor , Rosalie Goldsmith , Randall Bass , and Mindy McWilliams . 2017. Towards Reflective Writing Analytics: Rationale, Methodology and Preliminary Results. Journal of Learning Analytics 4 (03 2017 ), 58–84. https://doi.org/10.18608/jla.2017.41.5 10.18608/jla.2017.41.5 Simon Buckingham Shum, Agnes Sandor, Rosalie Goldsmith, Randall Bass, and Mindy McWilliams. 2017. Towards Reflective Writing Analytics: Rationale, Methodology and Preliminary Results. Journal of Learning Analytics 4 (03 2017), 58–84. https://doi.org/10.18608/jla.2017.41.5

4. A Recommender System for Students Based on Social Knowledge and Assessment Data of Competences

5. Personalized Curriculum Recommender System Based on Hybrid Filtering

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