Creator(s) (alphabetical)
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
This resource is intended as an easy-to-use guide for anyone who needs some quick and simple advice on quantitative aspects of research in social sciences, covering subjects such as education, sociology, business, nursing. I
As stated by the author: “If you are a qualitative researcher who needs to venture into the world of numbers, or a student instructed to undertake a quantitative research project despite a hatred for maths, then this booklet should be a real help”.
Creative Commons Attribution-NonCommercial (CC BY-NC)
This work is licensed under a CC BY-NC license, permitting sharing and adaptation for non-commercial purposes with proper attribution.
https://creativecommons.org/licenses/by-nc/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.
The Technological University of the Shannon (TUS) Compendium of Approaches to Integrating Digital Competencies into the Curriculum exemplifies the University’s commitment to embedding digital capability development across teaching, learning, and assessment.
MTU researchers, together with national and international researchers, presented local, national, and global insights into the challenges and opportunities of assessment and feedback in work placement settings.
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.
This OER presents an updated Assessment Redesign Framework for higher education in the age of GenAI. It supports educators and programme teams in designing valid, transparent, and scalable assessments, integrating AI literacy, process-focused approaches, and guidance on AI detection, large cohorts, and emerging agentic AI challenges.
Following this link opens a new browser tab and sends you to an external website outside of the National Resource Hub
[shortify_qr]
