Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach-Reference-Cited by-同舟云学术

Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach

Published:2021-04-05 Issue: Volume: Page:
ISSN:
Container-title:LAK21: 11th International Learning Analytics and Knowledge Conference
language:
Short-container-title:

Author:

Abdi Solmaz¹,Khosravi Hassan¹,Sadiq Shazia¹

Affiliation:

1. The University of Queensland, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448139.3448189

Reference29 articles.

1. Solmaz Abdi Hassan Khosravi Shazia Sadiq and Dragan Gasevic. 2019. A multivariate Elo-based learner model for adaptive educational systems. arXiv preprint arXiv:1910.12581(2019). Solmaz Abdi Hassan Khosravi Shazia Sadiq and Dragan Gasevic. 2019. A multivariate Elo-based learner model for adaptive educational systems. arXiv preprint arXiv:1910.12581(2019).

2. Complementing educational recommender systems with open learner models

3. Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models;Pattern Recognition Letters;2024-05

2. Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

3. Adaptive learning in computer science education: A scoping review;Education and Information Technologies;2023-09-05

4. Beyond item analysis: Connecting student behaviour and performance using e‐assessment logs;British Journal of Educational Technology;2022-10-27

5. Time Saving Students’ Formative Assessment: Algorithm to Balance Number of Tasks and Result Reliability;Applied Sciences;2021-06-29