Towards mapping competencies through learning analytics: real-time competency assessment for career direction through interactive simulation.

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Title: Towards mapping competencies through learning analytics: real-time competency assessment for career direction through interactive simulation.
Authors: Khatri, Puja1 pujakhatri12@gmail.com, Raina, Khushboo2, Wilson, Caroline3, Kickmeier-Rust, Michael4
Source: Assessment & Evaluation in Higher Education. Sep2020, Vol. 45 Issue 6, p875-887. 13p. 1 Color Photograph, 3 Diagrams, 10 Charts.
Subject Terms: *Vocational guidance, *Educational technology, *Data analysis, *Computer simulation, *College students, *Higher education, Skills inventories
Geographic Terms: India
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. [ABSTRACT FROM AUTHOR]
Copyright of Assessment & Evaluation in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Assessment+%26+Evaluation+in+Higher+Education%22">Assessment & Evaluation in Higher Education</searchLink>. Sep2020, Vol. 45 Issue 6, p875-887. 13p. 1 Color Photograph, 3 Diagrams, 10 Charts.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Assessment & Evaluation in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/02602938.2019.1689382
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        Text: English
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        PageCount: 13
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      – SubjectFull: Computer simulation
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      – SubjectFull: College students
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      – SubjectFull: Higher education
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      – SubjectFull: Skills inventories
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      – SubjectFull: India
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      – TitleFull: Towards mapping competencies through learning analytics: real-time competency assessment for career direction through interactive simulation.
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            NameFull: Khatri, Puja
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              M: 09
              Text: Sep2020
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              Y: 2020
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