加速学徒:大规模教授数据科学问题解决技能

Lujie Chen, A. Dubrawski
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引用次数: 1

摘要

通常需要多年的实践才能培养数据科学家解决操作问题的技能,使其有足够的能力解决现实世界的问题。在本研究中,我们探索了一种新的可扩展的技术增强学习(TEL)平台,该平台通过一个案例库加速了学徒过程,这些案例库是带有脚手架问题和反馈的小型但重点突出的案例研究。在本文中,我们报告了设计的基本原理,案例创作过程,以及在研究生水平的数据科学课程中使用案例的学生群体的计划实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerated apprenticeship: teaching data science problem solving skills at scale
It often takes years of hands-on practice to build operational problem solving skills for a data scientist to be sufficiently competent to tackle real world problems. In this research, we explore a new scalable technology-enhanced learning (TEL) platform that enables accelerated apprenticeship process via a repository of caselets - small but focused case studies with scaffolding questions and feedback. In this paper, we report rationales of the design, caselet authoring process, and the planned experiment with cohorts of students who will use caselets while taking graduate level data science courses.
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