What happened
DreamBox Learning is an online supplemental math program for grades K to 5. As students play math games, it adapts the lesson sequence, difficulty, pace and number of hints in real time. SRI International evaluated it in three Rocketship Education charter schools in San Jose, California, from mid-October 2010 to mid-February 2011. Kindergarten and first-grade students were randomly assigned, four to one, to DreamBox or to an online literacy program during the same lab time. Users averaged 21.8 hours on the program, and 557 students were analyzed. The What Works Clearinghouse (WWC) found that the trial meets its standards without reservations. On the MAP math test, users scored a mean of 159.00 against 156.20, an effect size of 0.11. The WWC rated the effects potentially positive, with a small extent of evidence. In its first release on 10 December 2013, the WWC had found no discernible effects. It changed the rating on 5 February 2014 after the authors supplied estimates for the full sample. The WWC does not say whether the program's adaptation is learned from data or who funded the study.
Sources
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Assessment report, by authors with no tie to the system.
DreamBox Learning was found to have potentially positive effects on mathematics achievement for elementary school students.
Details
AI system
- Workflow
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Students used DreamBox in a computer lab at school, averaging 21.8 hours over four months. The program adapted the lesson sequence, difficulty, pace and number of hints to each student in real time.
Follow-up
- Conditions for replication
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The program supplements classroom math teaching. The developer recommends at least 90 minutes a week on the program.
Entry details
- Sector
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Education.
- Purpose
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DreamBox Learning, Inc. Built DreamBox Learning to individualize math instruction for students in grades K to 5 with lessons that adapt to each student.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). DreamBox Learning lifts early math scores in a San Jose trial (AIBD-0716). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0716.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)