OMAP - Exam and Assessment

Purpose/research question

The project has two main objectives:

1.    Developing a technical system which can verify with certainty who completes an exam paper online, although the person is sitting at home in his own kitchen and using his own computer. The identification mechanisms applied involve face recognition, keystroke identification, finger scanning, double log-in, camera etc., i.e. solving an exam control problem associated with MOOCs (massive open online courses). This part of the project work is the responsibility of the Korean partner.

2.    Developing a ‘Learning Analytics’ module which can utilise and enrich the vast amount of data already generated by an electronic exam system, making it possible to extract and offer interesting and useful knowledge to students, teaching staff/assessors and administrators.

CTL’s contribution to the project:

  • Identifying, on a research basis, knowledge about the correlation between student performance/exam results, exam conduct, exam types, exam questions, assessment strategies, taxonomic levels, the use of assessment rubrics, forms of instruction, study behaviour as well as student characteristics etc.
  • Contributing to the development of analysis models and testing draft learning analytics modules.

Presumed benefits of CTL’s participation in the project:

  • extensive build-up of expertise regarding assessment,
  • unique access to Big Data,
  • development of original analysis models within assessment,
  • and last but not least, a basis for publication in peer-reviewed journals at the highest international level.

Status: current

More information

UNIwise will develop new authentication and learning analytics technology for WISEflow:

The Eurostars-2 Programme (2014-2020):