Towards Mapping Competencies through Learning Analytics: Real-time Competency Assessment for Career Direction through Interactive Simulation

Puja Khatri, Khushboo Raina, Caroline Wilson, Michael Kickmeier-Rust

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
118 Downloads (Pure)


The selection of career paths and making of academic choices is a difficult and often confusing task for young people. The impact on their lives, however, is enormous as it can determine entire future career possibilities. In India, a general remedy to this stress is that instead of choosing a field of study tailored to individual preferences and strengths, topics are chosen that align with the traditional choices of the students’ families or their friends. This can have the effect of entrenching patterns of intergenerational inequity. The aim of this research is to give students greater access to the knowledge capital which will help them make better choices. This is achieved by engaging students in the career planning process, in order to convey information in a likeable and credible way. The COMPCAT (Competency and Career Assessment Tool) game engine combines the use of learning analytics and real time, interactive computer simulations designed to gain insights into the students’ engagement in the making of these complex decisions. This paper presents the conceptual architecture of the game and demonstrates its role in enhancing the learning effectiveness of the students.
Original languageEnglish
Pages (from-to)875-887
Number of pages13
JournalAssessment and Evaluation in Higher Education
Issue number6
Early online date25 Nov 2019
Publication statusPublished - 17 Aug 2020

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in Assessment and Evaluation in Higher Education, on 25/11/2019, available online:

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  • Learning analytics
  • digital educational games
  • higher education
  • career competency assessment
  • student engagement


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