Research Supervisor Connect

Detecting Evolution of Learning Artefacts

Summary

When teams collaborate, there are certain generic artefacts (documents, figures, videos, code) that evolve over time. Can this evolution be captured and characterised?

Supervisor

Dr Abelardo Pardo.

Research location

Electrical and Computer Engineering

Program type

Masters/PHD

Synopsis

A learning artefact is a resource (document, HTML page, video, audio-clip, program, study, etc.) created by a student over a period of time longer than a session. The artifact is created in a first session (always in electronic format) and then iteratively refined following certain criteria or guidelines. The project proposes to observe this process through analytics and detect evolutionary patterns. There are some previous projects done in the context of written documents using Google Docs (see reference). The challenge in this project is to connect the information collected in a collaborative environment with a good model of artefacts evolving over time.

Additional information

Web URL  http://sydney.edu.au/engineering/latte

Essential expertise:

  • Proficiency in a programming language (Java and Python preferred)
  • Proficiency in web application development (Django preferred)
  • Outstanding communication skills (no, seriously!)
Desirable expertise:
  • Experience in Educational psychology
  • Experience in Data visualization

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 1961

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