Microgenetic Learning Analytics

本项目将开展的研究活动是：(1)开发基于理论的微遗传学习分析协议，旨在理解中学生在机器人环境中的学习，以及开发基于理论的情绪分析协议，旨在了解在机器人环境中学习的未被充分代表的学生的刻板印象威胁的突出程度；(2)在现有的数据集上初步测试这些协议；(3)根据初步测试的结果改进和改进协议；以及(4)对在机器人环境中学习的未被充分代表的中学生的计算思维发展进行原创性研究，包括考察刻板印象威胁对学生活动的显著影响。微基因分析指的是对学习变化的研究，其中：1.观察跨越能力迅速变化的时期2。在这段时间内，观测密度相对于变化率是很高的。这项建议将微遗传学分析与基于计算机科学的学习分析相结合。基于计算机科学的学习分析将计算机捕获的数据进行分析和挖掘，以了解学生的学习情况。它经常被用于智能辅导系统和大型在线公开课。在这种情况下，每一次击键都会被捕获，学习分析是为了理解这些捕获的按键。这项FIRE提案的目标是通过参与研究代表不足的中学生在机器人环境中互动时计算思维的发展，增加进入计算领域的个人的多样性。这项研究将包括在全女生机器人研究环境中对刻板印象威胁的显著程度的检查。通过创造一种新的研究方法，将发展心理学领域的微遗传分析技术与计算机科学领域的学习分析技术结合起来，个人投资促进系统将实现这一项目目标。PIS将这一新方法称为微遗传学习分析。

Research activities that will be undertaken in this project are:(1) the development of theoretically-based, microgenetic learning analytic protocols aimed at understanding middle school student learning in a robotics setting as well as the development of theoretically-based, sentiment analysis protocols aimed at understanding the salience of stereotype threat for underrepresented students studying in a robotics context; (2) pilot testing these protocols on an existing data set; (3) refining and improving the protocols based on the results of the pilot test; and (4) conducting original research on the development of computational thinking in underrepresented middle school students studying in a robotics context, including examining the salience of stereotype threat on student activity. Microgenetic analysis refers to the study of learning changes where:1. Observations span the period of rapidly changing competency2. Within the this period the density of observations is high relative to the rate of change3. Observations are analyzed intensivelyThis proposal combines microgenetic analysis with computer science based learning analytics. The computer science based learning analytics take computer captured data and analyzes and mines that data for understanding of student learning. It is frequently used in intelligent tutoring systems and Massive Open Online Courses. In such cases, every keystroke is captured and the learning analytics is about making sense of those captured keystrokes.The goal of this FIRE proposal is to increase the diversity of individuals who enter the field of computing by engaging in research on the development of computational thinking in underrepresented middle school students as they interact in a robotics environment. This research will include an examination of the salience of stereotype threat in an all girl robotics study setting. The PIs will achieve this project goal through the creation of a new research method that combines microgenetic analysis techniques derived from the field of developmental psychology with learning analytic techniques, derived from the field of computer science. The PIs term this new method Microgenetic Learning Analytics.