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Interdisciplinary research agenda in support of assessment of collaborative problem solving: lessons learned from developing a Collaborative Science Assessment Prototype

机译:支持评估协作问题解决能力的跨学科研究议程:开发协作科学评估原型的经验教训

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Evidence from labor-market economics and predictive validity studies in psychology suggests that collaborative problem solving (CPS) is an increasingly important skill for both academic and career success in the 21st century. While there is a general agreement that collaborative problem solving is an important skill, there is less agreement on how to build an assessment to measure it, especially at scale and as a standardized test. Developing the type of CPS assessment envisioned in this work will require interdisciplinary synergy, involving learning science, data science, psychometrics, and software engineering. In this conceptual paper, we present our identification and novel instantiation of five interdisciplinary research strands supporting the development of a CPS assessment. We discuss how these research strands can comprehensively address some of the shortcomings of existing CPS assessments, such as collecting and managing the data from the process of collaboration in structured log files, or considering a statistical definition of collaboration in the design of the collaborative tasks. We describe the Collaborative Science Assessment Prototype developed at Educational Testing Service (ETS) under the proposed interdisciplinary research agenda to illustrate how these research strands can be operationalized. (C) 2017 Published by Elsevier Ltd.
机译:劳动力市场经济学和心理学的预测效度研究的证据表明,协作式问题解决(CPS)在21世纪对学术和职业成功都越来越重要。虽然人们普遍认为协作式问题解决是一项重要技能,但在如何建立评估方法来评估它方面却没有多少共识,尤其是在大规模和标准化测试中。开发这项工作中设想的CPS评估类型将需要跨学科的协同作用,涉及学习科学,数据科学,心理计量学和软件工程。在本概念文件中,我们介绍了五个交叉学科研究链的识别和新颖实例,这些研究链支持CPS评估的发展。我们将讨论这些研究链如何全面解决现有CPS评估的一些缺点,例如从结构化日志文件中的协作过程中收集和管理数据,或者在协作任务设计中考虑协作的统计定义。我们将在提议的跨学科研究议程下描述由教育测试服务(ETS)开发的“协作科学评估原型”,以说明如何进行这些研究。 (C)2017由Elsevier Ltd.发布

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