Online Learning Task Force, Collaborate to Compete: Insight for Managers
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
Creator(s) (alphabetical)
Online Learning Task Force, Collaborate to Compete: Insight for Managers
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
Description
Benefit of this resource and how to make the best use of it
Collaborate to Compete: Seizing the Opportunity of Online Learning for UK Higher Education: Report to HEFCE by the Online Learning Task Force (January 2011).
Creative Commons Attribution (CC BY)
This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.
https://creativecommons.org/licenses/by/4.0/Adapting this resource? Share your version!
If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
Related OER
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
This resource was created to share the learning from teaching adults with intellectual disabilities (ID) in IADT college as part of a national suite of pilot projects.
Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
Report an Issue
[shortify_qr]