MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Online Learning and Analytics
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,694 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,694 works in the cohort · of 4,299,418page 10 of 34

Labels cover 10 of 1,694 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,694 of 1,694 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Search Engines in Learning Contexts: A Literature Review
Jaurès Styve Kameni Homte, Bernabé Batchakui, Roger Nkambou
2022· review· en· International Journal of Emerging Technologies in Learning (iJET)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
14
citations
affvenueunlabeled
Troubleshooters for Tasks of Introductory Programming MOOCs
Marina Lepp, Tauno Palts, Piret Luik, Kaspar Papli, Reelika Suviste, Merilin Säde +3 more
2018· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
venueno affunlabeled
Learning Analytics: Readiness and Rewards
Norm Friesen
2013· article· en· Canadian Journal of Learning and Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
A Framework to Leverage and Mature Learning Ecosystems
William Derek Redmond, Leah P. Macfadyen
2020· article· en· International Journal of Emerging Technologies in Learning (iJET)· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
Research on MOOCs in Major Referred Journals
Abdelghani Babori, Abdelkarim Zaïd, Hicham Fihri Fassi
2019· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Concept Science Evidence-Based MERLO Learning Analytics
Uri Shafrir, Ron S. Kenett
2015· book-chapter· en· Advances in educational technologies and instructional design book series· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
12
citations
aboutno affunlabeled
Prediction for University Admission using Machine Learning
Chithra Apoorva D.A, Malepati Chandu Nath, Peta Rohith, S Bindushree., S Swaroop.
2020· article· en· International Journal of Recent Technology and Engineering (IJRTE)· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
Reflection on MOOC Design in Palestine
Saida Affouneh, Katherine Wimpenny, Ahmed Ra'fat Ghodieh, Loay Abu Alsaud, Arij Abu Obaid
2018· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
Frugal MOOCs
Mariam Shah, David Santandreu Calonge
2017· article· en· The International Review of Research in Open and Distributed Learning· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
fundno affunlabeled
Patterns of persistence
John Whitmer, Eva Schiorring, P. R. James
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About