Near-Real-Time Learner Analysis and Faculty Support During a Transition to Online Education.

Biomedical engineering education Pub Date : 2021-01-01 Epub Date: 2021-03-04 DOI:10.1007/s43683-021-00047-y
Todd Fernandez, Joe Le Doux, Essy Behravesh
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Abstract

The teaching tip described here relates to a department level initiative to gather and act on student experiences in real-time during the COVID-19 outbreak in the Spring 2020 semester. The survey was developed to be an ongoing, department level, data collection source that could capture, triage, and react to student's unique situations as they arose. This enabled us to coordinate across courses, follow-up and provide students and instructors assistance in real time, and also gather information that informed decision making for our summer online courses as well as our planning for the fall. In this teaching tips article we describe the opportunities and processes for using such a survey to identify and capture aspects of the students' lived experience that influences the effectiveness of curricular change. Doing so fills a need, especially when unexpected changes in learning environments are required, to employ concepts of learner analysis to understand and plan educational experiences for students, even when such experiences are in flux or the concepts are used informally.

Supplementary information: The online version contains supplementary material available at 10.1007/s43683-021-00047-y.

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向在线教育过渡期间的近实时学习者分析和教师支持。
这里描述的教学技巧涉及在2020年春季学期COVID-19爆发期间实时收集和处理学生经验的系级倡议。该调查被开发成一个持续的、系级的数据收集源,可以捕捉、分类并对学生出现的独特情况做出反应。这使我们能够协调课程,跟踪并实时为学生和教师提供帮助,并收集信息,为我们的夏季在线课程决策和秋季计划提供信息。在这篇教学提示文章中,我们描述了使用这种调查来识别和捕捉影响课程变化有效性的学生生活经验方面的机会和过程。这样做满足了一种需求,特别是当需要在学习环境中发生意想不到的变化时,使用学习者分析的概念来理解和规划学生的教育经历,即使这些经历是不断变化的,或者这些概念是非正式使用的。补充资料:在线版本提供补充资料,网址为10.1007/s43683-021-00047-y。
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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