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In multi-modal learning analytics, one collects biometric data from different sensors, including EEG, eye-tracking, wristbands, and facial expression (through cameras). This paper presents an approach of detection causal relationships between different measurements taken under an experiment of comprehension of business process representations. The results identify differences between high and low performers. Future work will describe additional results from the experiment and see how this insight can be used in supporting process model comprehension and learning from process models, including providing tool-support as a scaffold in the modelling process.

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Causality Analysis on Performance Differences in Comprehension of Business Process Representations

  • 会议论文

  • 发表日期：

    2025年

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  • John Krogstie,
  • Kshitij Sharma

摘要

In multi-modal learning analytics, one collects biometric data from different sensors, including EEG, eye-tracking, wristbands, and facial expression (through cameras). This paper presents an approach of detection causal relationships between different measurements taken under an experiment of comprehension of business process representations. The results identify differences between high and low performers. Future work will describe additional results from the experiment and see how this insight can be used in supporting process model comprehension and learning from process models, including providing tool-support as a scaffold in the modelling process.