| Vol-2868 urn:nbn:de:0074-2868-8 Copyright © 2021 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# NetSciLA21 2021
Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda

### Proceedings of the NetSciLA 2021 Workshop "Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda"

### Newport Beach, CA, USA (virtual), April 12th, 2021.

Edited by

### Oleksandra Poquet, University of South Australia, Australia
Bodong Chen, University of Minnesota, United States
Mohammed Saqr, University of Eastern Finland, Finland
Tobias Hecking, German Aerospace Center, Germany

## Table of Contents

- Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda 1-2
  Oleksandra Poquet, Bodong Chen, Mohammed Saqr, Tobias Hecking
- Advancing social influence models in learning analytics 3-8
  Joshua M. Rosenberg, K. Bret Staudt Willet
- Modelling Network Dynamics in Social Annotation 9-15
  Bodong Chen, Basel Hussein, Oleksandra Poquet
- Idiographic Learning Analytics: A single student (N=1) approach using psychological networks 16-22
  Mohammed Saqr, Sonsoles López-Pernas
- Construction of Weighted Course Co-Enrollment Network 23-28
  XunFei Li, Renzhe Yu
- Knowledge-Building Analytics Based on Network Science 29-33
  Ayano Ohsaki, Jun Oshima, Ritsuko Oshima
- Recommendations for Network Research in Learning Analytics: To Open a Conversation 34-41
  Oleksandra Poquet, Mohammed Saqr, Bodong Chen

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2021-05-15: submitted by Oleksandra Poquet Bodong Chen Mohammed Saqr Tobias Hecking, metadata incl. bibliographic data published under Creative Commons CC0
2021-05-22: published on CEUR-WS.org |valid HTML5|