Research: Predicting STEM Career Choice from Computational Indicators of Student Engagement within Middle School Mathematics Classes

研究：根据中学数学课程中学生参与度的计算指标预测 STEM 职业选择

• 批准号: 1031398
• 负责人: Neil Heffernan
• 金额: $ 71.16万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1031398&HistoricalAwards=false
• 关键词: Research; Predicting; STEM; Career; Choice

This study by Worcester Polytechnic Institute will ascertain how well "disengagement" of students in mathematics can be determined from math learning software and how well it predicts later outcomes of STEM learning and career advancement. The study will use with metrics automatically extracted from a computer-based math learning tool in middle school to predict STEM workforce participation after high school. This research study will track a randomly selected sample of 1000 students who graduate from high school in 2010-2012 into college using surveys, online surveys, and on-line communities. By integrating these data with the information on when they were in middle school and were using the ASSISTment system the project can create an 8 year long longitudinal research project. They will follow the career choices of both students who go to college, and students who seek jobs instead of immediately attending college. The project will use educational data mining methods to categorize student behavior through analysis of log files recorded while students were using educational software. The investigators expect to measure disengagement and thus how student's motivation, goals, and self-efficacy towards STEM content are realized in practice with self-reports of student attitudes toward STEM careers and motivation to study science and mathematics. The researchers intend to determine whether students who had high levels of disengagement while in school, as shown by their use of computers in classes, is correlated with later life career choices, work behavior and success. This study will result in published articles in psychological journals that are expected to add a significant step in the knowledge of how student engagement during formal school years is associated with motivations and behavior to study science and enter careers that are demanding of thought and understanding of science.

伍斯特理工学院的这项研究将确定学生在数学学习软件中的“脱离”程度，以及它如何预测STEM学习和职业发展的后期结果。该研究将使用从中学基于计算机的数学学习工具中自动提取的指标来预测高中毕业后的STEM劳动力参与率。 这项研究将跟踪随机选择的1000名学生谁从高中毕业，在2010-2012年进入大学使用调查，在线调查和在线社区的样本。通过将这些数据与他们在中学时使用ASSISTment系统的信息相结合，该项目可以创建一个长达8年的纵向研究项目。 他们将跟踪上大学的学生和找工作而不是立即上大学的学生的职业选择。该项目将使用教育数据挖掘方法，通过分析学生使用教育软件时记录的日志文件来对学生行为进行分类。 研究人员希望通过学生对STEM职业的态度和学习科学和数学的动机的自我报告来衡量脱离接触，从而了解学生对STEM内容的动机，目标和自我效能在实践中如何实现。 研究人员打算确定那些在学校里高度脱离接触的学生，如他们在课堂上使用计算机所示，是否与以后的职业选择，工作行为和成功相关。这项研究将导致在心理学期刊上发表的文章，预计将增加一个重要的一步，了解学生在正式上学期间的参与如何与学习科学的动机和行为相关，并进入需要思考和理解科学的职业生涯。