Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning
By David N. Figlio, Mark Rush, Lu Yin. Journal of Labor Economics, 2013
457 citations recorded by the source corpus.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/974fdc027c9aa89ec64f74e5678721a5e269be12
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Di Xu
- Shanna Smith Jaggars
- Kelli A. Bird
- Benjamin L. Castleman
- Gabrielle Lohner
- Alyse C. Hachey
- James R. Brinson
- Julie Neisler
Citations in the corpus
- How do online course design features influence student performance? (2016, background): “Negative results are more common among students who come from disadvantaged backgrounds or have lower levels of preparation (Figlio, Rush, & Yin, 2013; Kaupp, 2012; Xu & Jaggars, 2014), resulting in overall negative effects within the community college population (Johnson & Mejia, 2014; Xu &…”
- Negative Impacts From the Shift to Online Learning During the COVID-19 Crisis: Evidence From a Statewide Community College System (2022, background): “…analyses show that students in online courses have lower rates of course completion and final grades, lower rates of persistence, and increased course repetition (Alpert et al., 2016; Bettinger et al., 2017; Figlio et al., 2013; Hart et al., 2016; Jaggars & Xu, 2016; Xu & Xu, 2019).”
- Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas (2014, background): “An experimental study of another university economics course found no in the online than in the face-to-face course section (Figlio, Rush, & yin, 2010).”
- The Online STEM Classroom—Who Succeeds? An Exploration of the Impact of Ethnicity, Gender, and Non-traditional Student Characteristics in the Community College Context (2015, background): “In particular, gender, ethnicity, academic preparation (grade point averages [GPAs] and prior experience) and certain non-traditional student characteristics (part-time status, age 24 or older, low socio-economic status [SES] or receiving financial aid) have been posited as 146 Community College Rev”
- Technology and Education: Computers, Software, and the Internet (2015, unknown): “Figlio et al. (2013) conduct a randomized experiment at a U.”