Identifying organisational learning needs: an approach to the semi-automatic creation of course structures for software companies

André Menolli, Huander Tirone, Sheila Reinehr and Andreia Malucelli

Behaviour and Information Technology, 2020, vol. 39, issue 11, 1140-1155

Abstract: Organisational learning is an area that aids organisations in improving their processes by reusing experience so that knowledge is accessible to the entire organisation. However, it is not a trivial task to bring about such learning in software development companies, especially as this is an area where processes and knowledge are often internalised in the minds of employees. Some approaches presented in the literature to facilitate organisational learning aim at transforming content generated within companies with Web 2.0 collaborative tools in courses. These courses are based on learning schema that describes their structure and content. However, the creation of these schemes requires a specialist who knows the company's needs as well as the pedagogical organisation's learning requirements. In order to facilitate learning and minimise dependence on specialists, this paper presents an approach that aims to aid companies in identifying developers’ learning needs while creating learning schema in a semiautomatic way. Based on the approach proposed, an environment was implemented and an experimental study was conducted to evaluate the identification of relevant issues to the organisation and development of courses. Results suggest that this approach is feasible for discovering themes and creating in-company courses.

Date: 2020
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DOI: 10.1080/0144929X.2019.1653372

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