# Analyzing students’ performance in computerized formative assessments to optimize teachers’ test administration decisions using deep learning frameworks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/analyzing-students-performance-in-computerized-formative-assessments-to-optimize/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jinnie Shin,Chen Fu,Chang Lu,Okan Bulut |
| Citations | 59 |
| DOI | 10.1007/s40692-021-00196-7 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3194233023 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Okan Bulut](https://scholariq.org/researchers/okan-bulut/)

## Paper primary topic

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)

## Paper topics

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)
- [Educational Technology and Assessment](https://scholariq.org/topics/educational-technology-and-assessment/)
- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.