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Cited by 340

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Examining Faculty Perception of Their Readiness to Teach Online

Open access
Martin, Florence, Budhrani, Kiran, Wang, Chuang·2019·Online Learning

Abstract

Faculty readiness to teach online is a state of faculty preparedness for online teaching. In this study, it is measured by faculty attitudes on the importance of online teaching competencies and their ability towards online teaching. Validity and reliability of faculty responses to an online instrument and factors related to faculty perception are examined. Descriptive statistics and item level means for the competencies are provided. For course design, course communication and technical, the faculty rated the perception of importance higher than their ability whereas for time management their perception of ability was rated higher than their attitude on importance. MANOVA showed significant differences in gender, years of teaching online, and delivery method for faculty perceptions of importance of online teaching competencies. Significant differences were also noted in years of teaching online and delivery method with respect to ability to teach online.

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Crossref · 10.24059/olj.v23i3.1555

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Metadata

Authors
Martin, F., Budhrani, K., & Wang, C.
Venue
Online Learning
Published
2019-09-01
Volume
23
Issue
3
ISSN
  • 1092-8235 (ISSN-L)
  • 2472-5730
  • 2472-5749
OpenAlex
W2971767874
Cited by
340
References
4
FWCI
103.85
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Examining Faculty Perception of Their Readiness to Teach Online. https://app.cochat.ai/papers/10.24059/olj.v23i3.1555
The paper
Martin, F., Budhrani, K., & Wang, C. (2019). Examining Faculty Perception of Their Readiness to Teach Online. Online Learning. https://doi.org/10.24059/olj.v23i3.1555

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.