1,712,991 responses from 5,000 respondents to 3,359 items.
| Description | 3,359-item performance-based Math Problem-Solving Accuracy item bank (first-attempt, unassisted), middle-school students on ASSISTments, N=5,000 |
|---|---|
| Reference | Worden, E., Heffernan, C., Heffernan, N., & Sonkar, S. (2026). FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs. arXiv preprint arXiv:2602.00070 |
| DOI | 10.48550/arXiv.2602.0007 |
| Licence | CC BY 4.0 |
| Source data | https://huggingface.co/datasets/ASSISTments/FoundationalASSIST |
| Responses | 1,712,991 |
|---|---|
| Respondents | 5,000 |
| Items | 3,359 |
| Response categories | 2 |
| Responses per respondent | 342.598 |
| Responses per item | 509.971 |
| Density | 0.102 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | FoundationalASSIST Math Problem-Solving Accuracy |
dateiditemresp
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("foundationalassist_worden_2026")
# Python
pip install irw
import irw
df = irw.fetch("foundationalassist_worden_2026")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |