Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Documenting teachers' workflows is time-intensive and diverts experts from core responsibilities. Sequential Pattern Mining (SPM) leverages log data to identify expert workflows, offering an automated alternative to represent workflows but requiring transformation into intuitive formats for novice educators. This paper introduces Visual Process Representations (VPR), a design approach combining SPM, Knowledge Management processes, and storytelling techniques to convert expert log data into clear visualisations. We detail the design phases and report a study evaluating visual affordances (text lists vs. pictorial-style) and teachers' perceptions of four versions of the VPR with 160 higher teachers on Prolific. Results indicate improved task performance, usability, and engagement, particularly with enriched visuals, though process memorability and task time improvements were limited. The findings highlight VPR's potential to visualise workflows and support novice educators.

翻译：知识管理对于大学内部专业知识的获取与传递至关重要，尤其在人员流动率高的情境下，专业知识的流失会严重干扰教学工作。记录教师工作流程耗时费力，且会使专家偏离核心职责。序列模式挖掘（SPM）利用日志数据识别专家工作流，为工作流表示提供了自动化替代方案，但需将其转化为新手教师易于理解的直观形式。本文提出视觉过程表示（VPR），这是一种结合SPM、知识管理流程与叙事技巧的设计方法，旨在将专家日志数据转化为清晰的可视化呈现。我们详细阐述了设计阶段，并报告了一项评估研究：通过Prolific平台招募160名高校教师，测试了文本列表与图示风格两种视觉可供性，以及教师对四种VPR版本的感知。结果表明，该方法能有效提升任务完成度、可用性与参与感，尤其在视觉元素增强时效果更显著，但过程记忆性与任务时间改善有限。研究结果凸显了VPR在可视化工作流与支持新手教师方面的潜力。