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The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

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TL;DR

This study uses experience sampling to examine informal workplace learning, involving 364 employees reporting twice daily over 8 days. Findings identify three key factors—learning from oneself, others, and media—with reflection and professional exchange most frequent, highlighting the importance of situational and metacognitive aspects in informal learning.

Abstract
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ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are essential. This is opposed by the error‐proneness of retrospective measurements. The aim of this study was therefore to better understand how employees learn informally by situationally measuring their use of informal learning activities (e.g., searching the internet). Three hundred sixty four full‐time employees with desk jobs in various professions completed short online questionnaires twice a day for 8 days about their current work task and the informal learning activities used. A Multilevel CFA with good model fit revealed the same three factors at the situation and person level: learning from oneself, learning from others, and learning from media. Thinking/reflection, professional exchange/co‐working with colleagues, and sharing knowledge were most frequently reported. Learning activities with media were used comparatively little. These findings underscore the metacognitive role of reflection in informal learning, challenge previous models of informal learning that underrepresent situational antecedents and learning from media, and emphasize the importance of including multilevel data in research. Our research provides human resource development professionals and supervisors with a foundation for promoting informal learning and the society with basic knowledge for familiarizing students with the need for informal learning. This ability to adapt quickly to changing knowledge requirements is crucial to the competitiveness of many industries.

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This paper aims to contribute to the understanding of informal workplace learning in contemporary face-to-face and virtual environments. Informal learning is an important driver for professional development and workplace learning. However powerful informal learning may be, there is a problem when it comes to making it a real asset within organizations: Informal learning activities are mostly invisible to others, sometimes the learners themselves might not even be aware of the learning that occurs. As a consequence informal learning in organizations goes undetected, remains off the radar of HR departments and is therefore hard to asses, manage and value [1]. This problem poses an interesting challenge for the field of Learning Analytics, namely finding ways to capture and analyse traces of (social) informal learning in every day life and work networks. Therefore empirical research and tools are needed that can raise awareness about informal learning activities to make it surface the radar, amplify the benefits of it and strengthen the social relations through which it occurs. In this paper we introduce a tool that aims to facilitate exactly this and we hope to stimulate to widen the discussion on Learning Analytics by expanding the field from a predominantly educational focus to informal and workplace learning. In this paper we will discuss methodologies that Learning Analytics can draw upon to make informal learning more explicit and accessible to analyse and to share amongst professionals.

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