Patterson John D, Pronchick Jimmy, Panchanadikar Ruchi, Fuge Mark, van Hell Janet G, Miller Scarlett R, Johnson Dan R, Beaty Roger E
Department of Psychology, The Pennsylvania State University, 140 Moore Building, University Park, PA, 16802, USA.
School of Computing, Clemson University, Clemson, SC, USA.
Behav Res Methods. 2025 Aug 18;57(9):264. doi: 10.3758/s13428-025-02761-9.
Creativity is increasingly recognized as a core competency for the 21st century, making its development a priority in education, research, and industry. To effectively cultivate creativity, researchers and educators need reliable and accessible assessment tools. Recent software developments have significantly enhanced the administration and scoring of creativity measures; however, existing software often requires expertise in experiment design and computer programming, limiting its accessibility to many educators and researchers. In the current work, we introduce CAP-the Creativity Assessment Platform-a free web application for building creativity assessments, collecting data, and automatically scoring responses (cap.ist.psu.edu). CAP allows users to create custom creativity assessments in ten languages using a simple, point-and-click interface, selecting from tasks such as the Short Story Task, Drawing Task, and Scientific Creative Thinking Test. Users can automatically score task responses using machine learning models trained to match human creativity ratings-with multilingual capabilities, including the new Cross-Lingual Alternate Uses Scoring (CLAUS), a large language model achieving strong prediction of human creativity ratings in ten languages. CAP also provides a centralized dashboard to monitor data collection, score assessments, and automatically generate text for a Methods section based on the study's tasks, metrics, and instructions-with a single click-promoting transparency and reproducibility in creativity assessment. Designed for ease of use, CAP aims to democratize creativity measurement for researchers, educators, and everyone in between.
创造力日益被视为21世纪的一项核心能力，这使得其培养成为教育、研究和行业的优先事项。为了有效地培养创造力，研究人员和教育工作者需要可靠且易于使用的评估工具。最近的软件开发显著改进了创造力测评的管理和评分；然而，现有的软件通常需要实验设计和计算机编程方面的专业知识，这限制了许多教育工作者和研究人员对其的使用。在当前的工作中，我们推出了CAP——创造力评估平台——一个用于构建创造力评估、收集数据并自动对回答进行评分的免费网络应用程序（cap.ist.psu.edu）。CAP允许用户使用简单的点击界面以十种语言创建自定义的创造力评估，从诸如短篇小说任务、绘画任务和科学创造性思维测试等任务中进行选择。用户可以使用经过训练以匹配人类创造力评分的机器学习模型自动对任务回答进行评分——具有多语言能力，包括新的跨语言替代用途评分（CLAUS），这是一个在十种语言中对人类创造力评分有强大预测能力的大语言模型。CAP还提供一个集中式仪表板，用于监控数据收集、对评估进行评分，并根据研究的任务、指标和说明一键自动生成方法部分的文本——促进创造力评估的透明度和可重复性。CAP旨在便于使用，目标是让研究人员、教育工作者以及介于两者之间的所有人都能平等地进行创造力测量。
