# Student Answer Scoring on ASSISTments

Source: [Student Answer Scoring on ASSISTments](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:24:33.464Z

Evaluation of models performing Student Answer Scoring on the ASSISTments dataset, utilizing metrics such as Accuracy, F1, AUC, RMSE, and Kappa.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Student Answer Scoring |
| Dataset (including any stated split) | ASSISTments |
| Metric | AUC |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [AUC](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments.md?metric=AUC>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [RMSE](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [Kappa](<https://www.sota2.com/research/sota/student-answer-scoring-on-assistments.md?metric=Kappa>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AUC | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-2 | 94.3 | Not recorded | 68fa6e8d1e209131cea40850 |
| MathGPT | 94.2 | Not recorded | 68fa6e8d1e209131cea40850 |
| BERT | 73.3 | Not recorded | 68fa6e8d1e209131cea40850 |

### GPT-2

AUC: 94.3. Result ID: 699027fe3a6c314849fe8060.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e8d1e209131cea40850.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MathGPT

AUC: 94.2. Result ID: 699027fe3a6c314849fe8061.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e8d1e209131cea40850.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e8d1e209131cea40850.md>)

[Implementation](<https://github.com/umass-ml4ed/mathGPT>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### BERT

AUC: 73.3. Result ID: 699027fe3a6c314849fe805f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e8d1e209131cea40850.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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