Datawhys Phase 1: Problem Solving to Facilitate Data Science & STEM Learning Among Summer Interns

Linda Ann Payne, A. Tawfik, A. Olney
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引用次数: 2

Abstract

This design case details a data science summer learning experience designed by University of Memphis faculty for HBCU students (NSF #: 1918751) with recruiting assistance provided by LeMoyne-Owen College. The summer learning experience included elements of didactic and collaborative problem-solving during the first five weeks of the internship, followed by a three-week, team-based, problem-solving project using real-world data. While the course was originally designed as a face-to-face learning experience, the impact of COVID-19 necessitated a shift toward online digital spaces. The design case details the opportunities and challenges of STEM online learning and especially underscores the limitations of (a) existing data science technologies for instruction, (b) the shift toward instructional design of materials that supported more self-directed learning, and (c) collaborative problem-solving. Implications for design and practice are also considered.
Datawhys第一阶段:解决问题促进暑期实习生的数据科学和STEM学习
本设计案例详细介绍了孟菲斯大学教员在LeMoyne Owen学院的招聘协助下为HBCU学生(NSF#:1918751)设计的数据科学暑期学习体验。在实习的前五周,暑期学习体验包括教学和合作解决问题的元素,然后是一个为期三周的、基于团队的、使用真实世界数据解决问题的项目。虽然该课程最初设计为面对面学习体验,但新冠肺炎的影响需要转向在线数字空间。设计案例详细介绍了STEM在线学习的机遇和挑战,特别强调了(a)现有的数据科学教学技术的局限性,(b)向支持更多自主学习的材料教学设计的转变,以及(c)协作解决问题。还考虑了对设计和实践的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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