论文标题
跨划痕程序的自动创造力测量
Automatic Creativity Measurement in Scratch Programs Across Modalities
论文作者
论文摘要
促进创造力被认为是教育的重要目标，但众所周知，创造力很难衡量。在本文中，我们从定义形式上的创造力衡量的旅程有效地衡量了在实践领域中应用该措施。该度量是一般的，依赖于创造力理论中的核心理论概念，即流利性，灵活性和独创性，并将其整合到先前的认知科学文献中。我们在流行的视觉编程语言刮擦中调整了对项目的一般措施。我们设计了一种机器学习模型，以预测刮擦项目的创造力，在广泛的用户研究中对人类专家创造力评估进行了培训和评估。我们的结果表明，在专家之间，关于划痕的创造力的看法差异很大。自动创造力评估与对人类专家的评估一致，而不是专家相互同意的。这是提供计算模型的第一步，用于衡量可以应用于教育技术的创造力，并扩大学校创造力教育的好处。
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure.In this paper, we make the journey fromdefining a formal measure of creativity that is efficientlycomputable to applying the measure in a practical domain. The measure is general and relies on coretheoretical concepts in creativity theory, namely fluency, flexibility, and originality, integratingwith prior cognitive science literature. We adapted the general measure for projects in the popular visual programming language Scratch.We designed a machine learning model for predicting the creativity of Scratch projects, trained and evaluated on human expert creativity assessments in an extensive user study. Our results show that opinions about creativity in Scratch varied widely across experts. The automatic creativity assessment aligned with the assessment of the human experts more than the experts agreed with each other. This is a first step in providing computational models for measuring creativity that can be applied to educational technologies, and to scale up the benefit of creativity education in schools.
