Automatic Grading for Team Summaries

Summary

Teams collaborate in environments mediated by technology. Can the artefacts produced by these teams be “ assessed” for quality?

Supervisor(s)

Dr Abelardo Pardo

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

Natural Language Processing software is now capable of analysing and detecting sophisticated structures in written texts. Can we use this technology to assess what happens inside a team? The project assumes that a team is required to provide written evidence (in electronic format) bout their activities through summaries. Can these summaries be analysed to detect patterns? What patterns are reasonable to detect? The challenge in this project is to create a software application that is robust enough to detect certain pre-defined patterns and validate it in a real situation.

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

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Keywords

Collaborative learning, behavioural analysis, learning analytics, data analysis

Opportunity ID

The opportunity ID for this research opportunity is: 1960

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