Dataset Information

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

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.

SUBMITTER: Fernandez T

PROVIDER: S-EPMC7931794 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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

Fernandez Todd T Le Doux Joe J Behravesh Essy E

Biomedical engineering education 20210304 2

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 t ...[more]

PMID: 33688636

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Project description:Problem and purposeHealthcare provider implicit bias influences the learning environment and patient care. Bias awareness is one of the key elements to be included in implicit bias education. Research on education enhancing bias awareness is limited. Bias awareness can motivate behavior change. The objective was to evaluate whether exposure to a brief online course, Implicit Bias in the Clinical and Learning Environment, increased bias awareness.Materials and methodsThe course included the history of racism in medicine, social determinants of health, implicit bias in healthcare, and strategies to reduce the impact of implicit bias in clinical care and teaching. A sample of U.S. academic family, internal, and emergency medicine providers were recruited into the study from August to December 2019. Measures of provider implicit and explicit bias, personal and practice characteristics, and pre-post-bias awareness measures were collected.ResultsOf 111 participants, 78 (70%) were female, 81 (73%) were White, and 63 (57%) were MDs. Providers held moderate implicit pro-White bias on the Race IAT (Cohen's d = 0.68) and strong implicit stereotypes associating males rather than females with 'career' on the Gender-Career IAT (Cohen's d = 1.15). Overall, providers held no explicit race bias (Cohen's d = 0.05). Providers reported moderate explicit male-career (Cohen's d = 0.68) and strong female-family stereotype (Cohen's d = 0.83). A statistically significant increase in bias awareness was found after exposure to the course (p = 0.03). Provider implicit and explicit biases and personal and practice characteristics were not associated with an increase in bias awareness.ConclusionsImplicit bias education is effective to increase providers' bias awareness regardless of strength of their implicit and explicit biases and personal and practice characteristics. Increasing bias awareness is one step of many toward creating a positive learning environment and a system of more equitable healthcare.

Dataset Information

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

Supplementary information

Publications

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

Similar Datasets

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