Transfer Learning using Representation Learning in Massive Open Online Courses-Reference-Cited by-同舟云学术

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Transfer Learning using Representation Learning in Massive Open Online Courses

Published:2019-03-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Learning Analytics & Knowledge
language:
Short-container-title:

Author:

Ding Mucong¹,Wang Yanbang¹,Hemberg Erik²,O'Reilly Una-May³

Affiliation:

1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China

2. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

3. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Cambridge, MA, USA

Publisher

ACM

Reference19 articles.

1. Shai Ben-David John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning 79 1-2 (2010) 151--175. 10.1007/s10994-009-5152-4 Shai Ben-David John Blitzer Koby Crammer Alex Kulesza Fernando Pereira and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning 79 1-2 (2010) 151--175. 10.1007/s10994-009-5152-4

2. A time series interaction analysis method for building predictive models of learners using log data

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1. Click-Based Representation Learning Framework of Student Navigational Behavior in MOOCs;IEEE Access;2024

2. Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12

3. Introduction;Introduction to Transfer Learning;2022-11-12

4. E-Learning Environment Based Intelligent Profiling System for Enhancing User Adaptation;Electronics;2022-10-18

5. Using fair AI to predict students’ math learning outcomes in an online platform;Interactive Learning Environments;2022-08-28

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