LAK
| LAK | |
|---|---|
International Learning Analytics & Knowledge Conference
| |
Categories: Learning analytics
| |
| Bibliography: | dblp.uni-trier.de/db/conf/lak/ |
| CORE Rank (2026): | A |
| CORE Rank (2023): | A |
| Avg. acceptance rate: | 28 |
| Avg. acceptance rate (last 5 years): | 27 |
| Table of Contents | |
International Learning Analytics & Knowledge Conference (LAK) has an average acceptance rate of 28% (last 5 years 27%).
Events
The following events of the series LAK are currently known in this wiki:
Number of Submitted and Accepted Papers (Main Track)
Acceptance Rate
Locations
The International Conference on Learning Analytics & Knowledge is the premier research forum in the field, providing common ground for all stakeholders in the design of analytics systems to debate the state of the art at the intersection of Learning and Analytics — including researchers, educators, instructional designers, data scientists, software developers, institutional leaders and governmental policy makers.
The conference is held in cooperation with ACM in association with ACM SIGCHI and SIGWEB, with the double-blind, peer-reviewed proceedings archived in the ACM Digital Library. The ACM Digital Library (DL) is the world's most comprehensive database of full-text articles and bibliographic literature covering computing and information technology. This renowned repository includes the complete collection of ACM publications plus an extended bibliographic database of core works in computing from scholarly publishers. This guarantees that the proceedings will be available to the widest possible audience of computing professionals. ACM has an enlightened copyright policy with liberal author rights: authors may self-archive their own papers as Open Access Preprints, as long as they carry the specified ACM statement.