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

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Bibliographic Details
Title: Towards Mapping Competencies through Learning Analytics: Real-Time Competency Assessment for Career Direction through Interactive Simulation
Language: English
Authors: Khatri, Puja, Raina, Khushboo (ORCID 0000-0003-0390-5545), Wilson, Caroline (ORCID 0000-0002-0213-506X), Kickmeier-Rust, Michael
Source: Assessment & Evaluation in Higher Education. 2020 45(6):875-887.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 13
Publication Date: 2020
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Learning Analytics, Competence, Career Planning, Computer Simulation, Learner Engagement, Decision Making, Foreign Countries, Career Choice, Game Based Learning, Educational Games, Program Effectiveness, Graduate Students, Business Administration Education, Young Adults, Student Interests
Geographic Terms: India
DOI: 10.1080/02602938.2019.1689382
ISSN: 0260-2938
Abstract: 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 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.
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1265029
Database: ERIC
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Abstract: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 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.
ISSN:0260-2938
DOI:10.1080/02602938.2019.1689382