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1.
J Microbiol Biol Educ ; 23(1)2022 Apr.
Article in English | MEDLINE | ID: mdl-35496695

ABSTRACT

The majority of academic institutions were underprepared for a global pandemic, leading to spikes in instructor anxiety and drops in student engagement with STEM courses. With many STEM professors teaching online for the first time, they independently sought out training in distance education and inclusive teaching practices. Had institutions been proactive in providing such professional development prior to the pandemic, the negative impacts of transitioning to online education would have been reduced. While recent events are still fresh in people's minds, we advocate for increased or maintained professional development opportunities for STEM instructors in order to protect this critical pedagogical support from budget cuts.

3.
CBE Life Sci Educ ; 15(4)2016.
Article in English | MEDLINE | ID: mdl-27810868

ABSTRACT

Researchers, administrators, and policy makers need valid and reliable information about teaching practices. The Postsecondary Instructional Practices Survey (PIPS) is designed to measure the instructional practices of postsecondary instructors from any discipline. The PIPS has 24 instructional practice statements and nine demographic questions. Users calculate PIPS scores by an intuitive proportion-based scoring convention. Factor analyses from 72 departments at four institutions (N = 891) support a 2- or 5-factor solution for the PIPS; both models include all 24 instructional practice items and have good model fit statistics. Factors in the 2-factor model include (a) instructor-centered practices, nine items; and (b) student-centered practices, 13 items. Factors in the 5-factor model include (a) student-student interactions, six items; (b) content delivery, four items; (c) formative assessment, five items; (d) student-content engagement, five items; and (e) summative assessment, four items. In this article, we describe our development and validation processes, provide scoring conventions and outputs for results, and describe wider applications of the instrument.


Subject(s)
Interdisciplinary Studies/statistics & numerical data , Surveys and Questionnaires , Teaching/statistics & numerical data , Demography , Factor Analysis, Statistical , Female , Humans , Male , Models, Educational , Reproducibility of Results , Sample Size
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