---
title: "The State of Educational Data Mining in 2009: A Review…"
description: "3 papers in the tracked journals link to the Zenodo dataset The State of Educational Data Mining in 2009: A Review and Future Visions in their Crossref records, the first in 2020; most of them (1) in 2025."
url: https://scholar4ai.com/code/zenodo-3554657
markdown_url: https://scholar4ai.com/code/zenodo-3554657.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the Zenodo dataset The State of Educational Data Mining in 2009: A Review and Future Visions in their Crossref records, the first in 2020; most of them (1) in 2025. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# The State of Educational Data Mining in 2009: A Review and Future Visions: papers linking to it

Research papers in the 480 tracked journals that link to The State of Educational Data Mining in 2009: A Review and Future Visions (https://doi.org/10.5281/zenodo.3554657), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- Zenodo
- Text
- 2009
- https://doi.org/10.5281/zenodo.3554657

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset The State of Educational Data Mining in 2009: A Review and Future Visions in their Crossref records, the first in 2020; most of them (1) in 2025.
- By category: Higher Education and Research (3); the journals with the most are International Journal of Educational Technology in Higher Education (2) and Higher Education (1).

## By year

*Papers linking to The State of Educational Data Mining in 2009: A Review and Future Visions by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2023 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to The State of Educational Data Mining in 2009: A Review and Future Visions most*

| Journal | Papers |
|---|---:|
| [International Journal of Educational Technology in Higher Education](https://scholar4ai.com/journals/international-journal-of-educational-technology-in-higher-education.md) | 2 |
| [Higher Education](https://scholar4ai.com/journals/higher-education.md) | 1 |

## Papers

*Papers linking to The State of Educational Data Mining in 2009: A Review and Future Visions, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-04-13 | [The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes](https://doi.org/10.1186/s41239-020-00187-1) | [International Journal of Educational Technology in Higher Education](https://scholar4ai.com/journals/international-journal-of-educational-technology-in-higher-education.md) | Rachel B. Baker, Di Xu, Jihyun H. Park et al. | 108 | cites it |
| 2023-07-11 | [A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy](https://doi.org/10.1186/s41239-023-00410-9) | [International Journal of Educational Technology in Higher Education](https://scholar4ai.com/journals/international-journal-of-educational-technology-in-higher-education.md) | Simon Buckingham Shum, Lisa-Angelique Lim, David J. Boud et al. | 57 | cites it |
| 2025-08-06 | [Crossing individual university boundaries: a comprehensive approach to predicting dropouts in the higher education system](https://doi.org/10.1007/s10734-025-01509-w) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Johannes Berens, Andrea Diem, Luis Rumert et al. | 7 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). The State of Educational Data Mining in 2009: A Review and Future Visions: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3554657

```bibtex
@misc{scholar4ai-code-zenodo-3554657,
  author = {{Scholar4AI}},
  title = {The State of Educational Data Mining in 2009: A Review and Future Visions: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-3554657}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).