Applications of learning analytics in Latin America
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Although less common, a focus on promoting equity revealed a growing effort among some institutions to mitigate inequalities and ensure GAI benefits a broad student demographic, preventing further educational disparities.
“Although less common, a focus on promoting equity revealed a growing effort among some institutions to mitigate inequalities and ensure GAI benefits a broad student demographic, preventing further educational disparities (Pontual Falcão et al., 2020).”
From Generative AI in higher education: A global perspective of institutional adoption policies and guidelines (2025) · cites this paper as Pontual Falcão et al., 2020
Cites
Tsai, Y.-S., & Gasevic, D. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference · doi:10.1145/3027385.3027400 · Cited by 211 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Promises and challenges of generative artificial intelligence for human learning
Yan, L., Greiff, S., Teuber, Z., & Gašević, D. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02004-5 · Cited by 499 · see citing works
Jin, Y., Yan, L., Echeverria, V., Gašević, D., & Martinez-Maldonado, R. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100348 · Cited by 452 · see citing works
- Authors
- Pontual Falcão, T., Ferreira Mello, R., & Lins Rodrigues, R.
- Affiliations
- Department of Computing Federal Rural University of Pernambuco Recife Brazil
- Venue
- British Journal of Educational Technology
- Publisher
- Wiley
- Published
- 2020-06-19
- Volume
- 51
- Issue
- 4
- Pages
- 871-874
- ISSN
- 0007-1013 (ISSN-L)
- 1467-8535
- OpenAlex
- W3036555761
- Cited by
- 16
- References
- 1
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 7 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- British Journal of Educational Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
- Keywords
- learning analytics, Latin America, educational technology adoption, online learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
