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An Intelligent Tutoring System and Teacher Dashboard to Support Mathematizing During Science Inquiry

机译:在科学探究过程中支持数学计算的智能辅导系统和教师仪表板

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Using mathematics is critical to science inquiry at the high school level and is predictive of students' later success in STEM college majors and careers. Inq-ITS (Inquiry Intelligent Tutoring System) has recently added mathematizing functionalities in order to support students in the mathematical practices needed for scientific inquiry, and our teacher alerting dashboard, Inq-Blotter, is being extended to alert teachers in real-time to students' difficulties with this practice. Mathematizing in science can be challenging as students must attend to multiple sources of information (i.e., graphs, data tables), as well as do graphing and modeling. In the present paper, 1 describe three studies on the use of Inq-Blotter to support students on mathematizing in which I: (1) explore students' eye-movements and think-aloud protocols while mathematizing in Inq-ITS to identify the proportion of mathematizing difficulties that are related to knowledge acquisition processes versus other mathematical competencies (e.g., graph building and modeling), (2) examine if alerts within Inq-Blotter permit teachers to identify students who need help most (relative to teachers without access to alerts), and (3) identify whether teacher support based on alerts leads to improvements on students' next opportunity to engage in mathematizing and examine the corresponding teacher discourse associated with students' gains. These studies will indicate how to support students on mathematizing with intelligent technologies.
机译:在高中阶段使用数学对科学探究至关重要,并且可以预测学生后来在STEM学院的专业和职业中取得的成功。 Inq-ITS(探究智能辅导系统)最近增加了数学功能,以支持学生进行科学探究所需的数学实践,并且我们的教师预警仪表板Inq-Blotter正在扩展以向学生实时预警教师这种做法的困难。由于学生必须注意多种信息来源(即图表,数据表),并且必须进行图形绘制和建模,因此科学数学可能具有挑战性。在本文中,1描述了有关使用Inq-Blotter支持学生进行数学化的三项研究,其中,我:(1)探索学生的眼球运动和思考方式,同时在Inq-ITS中进行数学化,以确定占比的比例。与知识获取过程和其他数学能力(例如,图形构建和建模)相关的数学困难,(2)检查Inq-Blotter中的警报是否允许教师识别最需要帮助的学生(相对于无法获得警报的教师) (3)确定基于警报的教师支持是否可以改善学生下一次进行数学计算的机会,并检查与学生的学习成绩相关的相应教师话语。这些研究将表明如何通过智能技术支持学生进行数学运算。

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