Xiu Li

Orcid: 0000-0002-7860-1784

Affiliations:
  • Stockholm University, Department of Computer and Systems Sciences, Stockholm, Sweden


According to our database1, Xiu Li authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation.
Future Internet, 2024

2023
Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2023

2022
Retrieving Key Topical Sentences with Topic-Aware BERT When Conducting Automated Essay Scoring.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

Automatic Educational Concept Extraction Using NLP.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

2021
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation.
Frontiers Artif. Intell., 2021

A step towards Improving Knowledge Tracing.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Automatic and Intelligent Recommendations to Support Students' Self-Regulation.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups.
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

An Ensemble Approach for Question-Level Knowledge Tracing.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021


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