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Resilience of super users' mental models of enterprise-wide systems

机译:超级用户的企业级系统思维模型的弹性

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Research on information system training has focused primarily on methods, while neglecting the effects of interruption intervals between training and system implementation. This empirical study examines the resilience of accurate mental models of an enterprise-wide system in a large health care facility. Accurate mental models were shown to withstand the passage of time and resulted in superior field performance following a crash conversion. Consistent with prior experimental research, certain types of learners were more likely to acquire these sounder mental models. In large organisations where the simultaneous training of users on a complex system is virtually impossible, scheduling is an important facet of the training paradigm. The main practical implications of this study involve the development of: (1) training programmes emphasising performance on far-transfer tasks, (2) training schedules designed to minimise knowledge erosion, and (3) criteria for selecting highly capable super users.
机译:信息系统培训的研究主要集中在方法上,而忽略了培训和系统实施之间的中断间隔的影响。这项实证研究检验了大型医疗机构中企业范围系统的准确心理模型的弹性。准确的心理模型经证明可以承受时间的流逝,并在碰撞转换后获得出色的野外表现。与先前的实验研究一致,某些类型的学习者更有可能获得这些更健全的心理模型。在几乎不可能在复杂系统上同时进行用户培训的大型组织中,调度是培训范例的重要方面。这项研究的主要实际意义涉及以下方面的发展:(1)强调在远距离转移任务上的表现的培训计划;(2)旨在最大程度地减少知识侵蚀的培训计划;(3)选择能力强的超级用户的标准。

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