Work

Proposed method for semantic mapping of communities of practice in the nuclear industry for alignment of education

Year: 2016

Type: conference-paper

Abstract: There are great challenges gauging the relevance of knowledge, skills and competences (KSCs) provided in nuclear education and that of the industry needs. This is amplified by the difficulties within industry to efficiently identify the KSC typology depicted by the professional communities of practice (CoPs) within organizations. This study proposes a method using machine learning techniques, namely textual latent semantic analysis and hierarchical clustering, to visualize typologies of CoPs. This enables the efficacy of learning outcomes to be better assessed with respect to industry KSC requirements inherent within the industry CoPs.

Source: Research Repository (Delft University of Technology)

Author: Kuo, V. (author)

Institution: Aalto University

Language: English

Topic: Competency Development and Evaluation

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W2614501423

FWCI:

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