---
title: "Lecture capture in higher education: time to learn from…"
description: "4 papers in the tracked journals link to the OSF dataset Lecture capture in higher education: time to learn from the learners in their Crossref records, the first in 2018; most of them (1) in 2026."
url: https://scholar4ai.com/code/osf-ux29v
markdown_url: https://scholar4ai.com/code/osf-ux29v.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the OSF dataset Lecture capture in higher education: time to learn from the learners in their Crossref records, the first in 2018; most of them (1) in 2026. (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)
---

# Lecture capture in higher education: time to learn from the learners: papers linking to it

Research papers in the 480 tracked journals that link to Lecture capture in higher education: time to learn from the learners (https://osf.io/ux29v/), 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.

- OSF
- Text
- 2018
- https://osf.io/ux29v/

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

## Key findings

- 4 papers in the tracked journals link to the OSF dataset Lecture capture in higher education: time to learn from the learners in their Crossref records, the first in 2018; most of them (1) in 2026.
- By category: Higher Education and Research (3) and AI (1); the journals with the most are Higher Education (3) and Neural Computing and Applications (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links Lecture capture in higher education: time to learn from the learners.

## By year

*Papers linking to Lecture capture in higher education: time to learn from the learners by publication year*

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2021 | 1 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to Lecture capture in higher education: time to learn from the learners most*

| Journal | Papers |
|---|---:|
| [Higher Education](https://scholar4ai.com/journals/higher-education.md) | 3 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Turn up, tune in, don’t drop out: the relationship between lecture attendance, use of lecture recordings, and achievement at different levels of study](https://doi.org/10.1007/s10734-018-0320-8) (Higher Education, 2018)
  - [Lights, camera, active! appreciation of active learning predicts positive attitudes towards lecture capture](https://doi.org/10.1007/s10734-020-00674-4) (Higher Education, 2021) — cites the paper above

## Papers

*Papers linking to Lecture capture in higher education: time to learn from the learners, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-11-03 | [Turn up, tune in, don’t drop out: the relationship between lecture attendance, use of lecture recordings, and achievement at different levels of study](https://doi.org/10.1007/s10734-018-0320-8) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Emily Nordmann, Colin Calder, Paul Bishop et al. | 92 | cites it |
| 2024-03-11 | [I can be a “normal” student: the role of lecture capture in supporting disabled and neurodivergent students’ participation in higher education](https://doi.org/10.1007/s10734-024-01201-5) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Chiara Horlin, Barbora Hronska, Emily Nordmann | 35 | cites it |
| 2021-01-18 | [Lights, camera, active! appreciation of active learning predicts positive attitudes towards lecture capture](https://doi.org/10.1007/s10734-020-00674-4) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Emily Nordmann, Anne Clark, Elliott Spaeth et al. | 17 | cites it |
| 2026-03-25 | [Multimodal segmentation and labeling of lecture recordings for educational content retrieval](https://doi.org/10.1007/s00521-025-11740-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Óscar Sapena, Eva Onaindía | 0 | 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). Lecture capture in higher education: time to learn from the learners: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-ux29v

```bibtex
@misc{scholar4ai-code-osf-ux29v,
  author = {{Scholar4AI}},
  title = {Lecture capture in higher education: time to learn from the learners: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-ux29v}},
  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/).