Co-designing tools for workplace learning
Co-designing tools for workplace learning
复制标题
共同设计工作场所学习工具
DOI:
10.1108/ils-09-2019-0093
复制
发表时间:
2020
影响因子:
3.4
通讯作者:
Tobias Ley
中科院分区:
文献类型:
--
作者:
Sebastian Maximilian Dennerlein;V. Tomberg;T. Treasure;Dieter Theiler;Stefanie N. Lindstaedt;Tobias Ley
Purpose
Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are focused on formal learning context and often questioned for a lack of yielding traceable research insights. This paper aims to propose a method that extends DBR by understanding tools as sociocultural artefacts, co-designing affordances and systematically studying their adoption in practice.
Design/methodology/approach
The iterative practice-centred method allows the co-design of cognitive tools in DBR, makes assumptions and design decisions traceable and builds convergent evidence by consistently analysing how affordances are appropriated. This is demonstrated in the context of health-care professionals’ informal learning, and how they make sense of their experiences. The authors report an 18-month DBR case study of using various prototypes and testing the designs with practitioners through various data collection means.
Findings
By considering the cognitive level in the analysis of appropriation, the authors came to an understanding of how professionals cope with pressure in the health-care domain (domain insight); a prototype with concrete design decisions (design insight); and an understanding of how memory and sensemaking processes interact when cognitive tools are used to elaborate representations of informal learning needs (theory insight).
Research limitations/implications
The method is validated in one long-term and in-depth case study. While this was necessary to gain an understanding of stakeholder concerns, build trust and apply methods over several iterations, it also potentially limits this.
Originality/value
Besides generating traceable research insights, the proposed DBR method allows to design technology-enhanced learning support for working domains and practices. The method is applicable in other domains and in formal learning.