The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A blended model: simultaneously teaching a quantitative course traditionally, online, and remotely
Abstract
As universities seek to bolster enrollment through distance education, faculty are tasked with maintaining comparable teaching/learning standards in traditional, blended, and online courses. Research has shown that there is an achievement gap between students taking courses exclusively offered online versus those enrolled in face-to-face classes. In an effort to mitigate these observed differences, the School of Business faculty at the research institution investigated various course models to meet the needs of a diverse, non-traditional, and multifaceted student population. Ultimately, a blended course model for statistics and quantitative method courses was developed that allowed students to choose between online, remote (via interactive television), and traditional course delivery modes each week. This model is more flexible and agile than existing blended courses that have more static components. Multiple regression analysis, χ2, and t-tests are used to demonstrate the efficacy of our model in maintaining student performance standards.
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“The results find support from Lightner and Lighter-Law's 2016 study, which concluded that this method assists learners to master specific topics more easily since it is the responsibility of teachers to demonstrate things in class during EMS.”
From Exploration of curriculum changes in the learning and teaching methods of economic and management sciences (2025) · cites this paper as Lightner and Lighter-Law (2016)
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Adaptability to Online Learning: Differences Across Types of Students and Academic Subject Areas
(2013) · Columbia Academic Commons (Columbia University) · doi:10.7916/d82f7m24 · Cited by 241
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Cited by
Mathebula, D., Nkondo, L. G., Dlamini, N. P., & Khumalo, P. N. (2025) · Journal of Education · doi:10.17159/2520-9868/i97a08 · Cited by 2
Metadata
- Authors
- Lightner, C. A., & Lightner-Laws, C. A.
- Affiliations
- Fayetteville State University (US)
- Bonnie Speed Logistics
- Corresponding author
- Lightner-Laws, Carin A.
- Venue
- Interactive Learning Environments
- Publisher
- Informa UK Limited
- Published
- 2013-09-30
- Volume
- 24
- Issue
- 1
- Pages
- 224-238
- ISSN
- 1049-4820 (ISSN-L)
- 1744-5191
- OpenAlex
- W2051115401
- Cited by
- 91
- References
- 1
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 12 · 2023: 19 · 2022: 20 · 2021: 14 · 2020: 9 · 2019: 4 · 2018: 1 · 2017: 2 · 2014: 1
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interactive Learning Environments (publishedVersion)
- DigitalCommons@Fayetteville State University (Fayetteville State University) (submittedVersion)
- Topics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Social Sciences › Education › Management and Marketing Education
- Keywords
- blended learning, online learning, distance education, statistics education, quantitative methods course, course delivery methods, student performance, achievement gap, non-traditional students, business education, interactive television
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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.