Can Technology Facilitate Scale? Evidence from a Randomized Evaluation of High Dosage Tutoring

Monica P. Bhatt, Jonathan Guryan, Salman A. Khan, Michael LaForest-Tucker and Bhavya Mishra

No 32510, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: High-dosage tutoring is an effective way to improve student learning (Nickow et al., 2024; Guryan et al., 2023). Finding ways to deliver high-dosage tutoring at large scale remains a challenge. Two primary challenges to scaling are cost and staffing. One possible solution is to reduce costs by substituting some tutor time with computer-assisted learning (CAL) technology. The question is: Does doing so compromise effectiveness? This paper provides evidence from a randomized controlled trial (RCT) of approximately 4,000 students in two large school districts in 2018- 19 and 2019-20. The RCT tested the effectiveness of an in-school math tutoring program where students worked in groups of four, with two students working with an in-person tutor while the other two worked on CAL, alternating every other day. The tutoring model had per-pupil costs approximately 30 percent lower than the 2- to-1 tutoring model studied in Guryan et al. (2023). We find gains in students’ math standardized test scores of 0.23 standard deviations for participating students, which are almost as large as the effect sizes of the 2-to-1 tutoring model reported in Guryan et al. (2023). These findings suggest strategic use of technology may be a way to increase the scalability of HDT.

JEL-codes: I21 J24 (search for similar items in EconPapers)
Date: 2024-05
New Economics Papers: this item is included in nep-exp and nep-ure
Note: CH ED LS PE
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.nber.org/papers/w32510.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:32510

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w32510
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().