Creator(s) (alphabetical)
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
A resource highlighting the potential of digital technologies to support Readiness Assurance Tests in team-based learning (TBL).
The traditional approach to the roll out of the Individual Readiness Assurance test is a “paper and pen” approach. This can result in reams of paper being used (question sheets and answer forms all need to be printed). An obvious benefit of students having access to their own devices in college is that these can be used for the Readiness Assurance Test phase and the use of paper can be reduced. Quizzing tools such as Moodle Quiz, MS Forms, Turning Technologies and Vevox can reduce the reliance on paper. But apart from reduced paper usage what are some of the other benefits that digital technologies provide? This resource provides an overview of these benefits.
Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
This work is licensed under a CC BY-NC-SA license, allowing sharing and adaptation for non-commercial use with proper attribution, provided derivative works use the same license.
https://creativecommons.org/licenses/by-nc-sa/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
Teaching and Assessment for Learning Checklists aimed at early career & seasoned lecturers. The checklists provide guidance & reliable curated resources for lecturers who want to deliver an engaging and positive learning experience for their students. They act as a guide to check existing approaches, and help analyse how improvements can be made.
Team Tool is an open educational resource (OER) designed to support equitable,
e ective teamwork in higher education. It was developed in response to persistent
challenges in collaborative work, including uneven contribution, lack of
accountability and student dislike and anxiety around group projects.
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
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).
Following this link opens a new browser tab and sends you to an external website outside of the National Resource Hub
[shortify_qr]
