WWC review of this study

Technology-Based Support Shows Promising Long-Term Impact on Math Learning: Initial Results from a Randomized Controlled Trial in Middle Schools

Feng, Mingyu; Huang, Chunwei; Collins, Kelly (2023). WestEd. Retrieved from: https://eric.ed.gov/?id=ED630781

  •  examining 
    5,991
     Students
    , grade
    7

Reviewed: February 2025

At least one finding shows strong evidence of effectiveness
At least one statistically significant positive finding
Meets WWC standards without reservations
General Mathematics Achievement outcomes—Statistically significant positive effect found for the domain
Outcome
measure
Comparison Period Sample Intervention
mean
Comparison
mean
Significant? Improvement
    index
Evidence
tier

North Carolina End-of-Grade Mathematics Assessment

ASSISTments vs. Business as usual

1 Year

Full sample;
5,991 students

535.13

534.33

Yes

 
 
4
 

Grade 8 Mathematics Readiness Test

ASSISTments vs. Business as usual

0 Days

Full sample;
2,178 students

N/A

N/A

No

--


Evidence Tier rating based solely on this study. This intervention may achieve a higher tier when combined with the full body of evidence.

Characteristics of study sample as reported by study author.


  • Other or unknown: 100%

  • Rural, Suburban, Town, Urban
    • B
    • A
    • C
    • D
    • E
    • F
    • G
    • I
    • H
    • J
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    • L
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    • M
    • N
    • O
    • Q
    • R
    • S
    • V
    • U
    • T
    • W
    • X
    • Z
    • Y
    • a
    • h
    • i
    • b
    • d
    • e
    • f
    • c
    • g
    • j
    • k
    • l
    • m
    • n
    • o
    • p
    • q
    • r
    • s
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    • u
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    • w
    • y

    North Carolina
  • Race
    Black
    21%
    Other or unknown
    22%
    White
    58%
  • Ethnicity
    Hispanic    
    15%
    Not Hispanic or Latino    
    86%
  • Eligible for Free and Reduced Price Lunch
    Other or unknown    
    100%

Setting

This study took place in North Carolina in 102 math classrooms from 63 schools in 41 districts. Forty-eight of the schools were Title I schools, both public and charter. Schools were located in rural, town, suburban, and urban settings.

Study sample

Schools were randomized to study condition, with students the unit of analysis. The study included 5,991 students in total (2,961 intervention students and 3,030 comparison students). Of the student sample, 58% were White and 20% were Black. About 14% reported their ethnicity as Hispanic or Latino. Forty-seven percent of schools were classified as rural.

Intervention Group

ASSISTments, used by intervention teachers for two consecutive school years (2018/19 and 2019/20), provides immediate feedback to students on math homework problems and generates performance reports for teachers. It incorporates mastery learning and uses homework to enhance learning. Teachers assigned ASSISTments math homework twice weekly, taking students about 20-23 minutes to complete, and were expected to review reports for at least 50% of assignments. In 2018/19, teachers learned and practiced with ASSISTments, continuing its use with a new cohort of 7th graders in 2019/20, whose math outcomes were measured in spring 2020.

Comparison Group

Teachers in the comparison group continued to use their existing practices and math curriculum materials. They did not have access to ASSISTments, professional development, or coaching until the summer of 2020.

Support for implementation

The ASSISTments development team provided intervention teachers 2 days of professional development in the summer of 2018 and 2019. Teachers also received additional coaching and technical assistance during the school year via webinars, video conferencing, and two to three in-person visits each school year from a trained math coach.

In the case of multiple manuscripts that report on one study, the WWC selects one manuscript as the primary citation and lists other manuscripts that describe the study as additional sources.

  • Feng, Mingyu; Heffernan, Neil; Collins, Kelly; Heffernan, Cristina; Murphy, Robert F. (2023). Implementing and Evaluating ASSISTments Online Math Homework Support at Large Scale over Two Years: Findings and Lessons Learned. Paper presented at the Annual Meeting of the International Conference on Artificial Intelligence in Education (24th, Tokyo, Japan,.

 

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