Primary supervisor

Sadia Nawaz

This opportunity is tailored for master’s students who eager to engage in academic research under the mentorship of research-active academics. This project provides technical and research guidance from your supervisory team.

 

Project description

This research project aims to explore how learning analytics researchers investigate various epistemic emotions within educational contexts. Through a combination of literature review and bibliometric analysis, this project will uncover trends in the field, focusing on publication details such as authorship, venues, citations, and references. The outcomes of this research have the potential to contribute to a peer-reviewed publication, providing a valuable addition to your CV.

Student Cohort

Are you passionate about exploring the intersection of education and analytics? If you're intrigued by the use of data, visualizations, and social network analysis, this project offers a unique opportunity to delve into the world of academic research.

Student cohort

Double Semester

Aim/outline

The key goals of this project are to:

  • Conduct a comprehensive literature review on student learning and affective (emotional) states in education.
  • Identify and utilize the most effective tools for data visualization.
  • Analyse variables and features that reveal historical trends, guiding future research and collaboration.
  • Investigate critical nodes within social networks and explain their significance.

URLs/references

https://libkey.io/libraries/591/articles/59902762/full-text-file?utm_source=api_309

https://www.learntechlib.org/p/207364/

Required knowledge

To excel in this project, you should possess:

  • A strong interest in data analysis and its application in educational contexts.
  • Familiarity with network and graph analysis techniques.
  • A keen interest in learning and utilizing visualisation tools.