Learning Analytics – a critical issue in higher education (National Forum Seminar 2021)

[favorite_button]

Creator(s) (alphabetical)

Damien Rafferty

Organisation(s)

Institute of Technology Carlow

Discipline(s)

Education, Information and Communication Technologies, Teaching and Learning

Topic(s)

Learning Analytics

License

CC BY

Media Format

Video

Date Submitted

Submitted by

Export Resource Data

Description

Recording of National Forum Seminar December 2021 with Lee O Farrell, UCD; Mary Loftus, IT Sligo; and, Prof James Pickering & Dr Bronwen Swinnerton, University of Leeds (UK), chaired by Damien Raftery, IT Carlow

Benefit of this resource and how to make the best use of it

The objectives were to critically explore and discuss learning analytics approaches and experiences, and to raise awareness of existing useful Irish and international learning analytics resources and case studies

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/
? This citation is automatically generated and may require adjustment. Always verify it against your style guide.
Rafferty, D. (2022). Learning analytics – a critical issue in higher education (national forum seminar 2021). National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/learning-analytics-a-critical-issue-in-higher-education-national-forum-seminar-2021/ License: Creative Commons Attribution (CC BY).

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 OER explores novice programmers’ experiences of pair programming across face-to-face, hybrid, and remote settings. It provides insights into collaboration, role switching, satisfaction, and challenges, helping educators and students understand how to effectively prepare learners for modern hybrid software development environments.

This OER guides students through human-in-the-loop software development, demonstrating how AI tools can be effectively supervised, refined, and integrated across the Software Lifecycle. Designed for computing educators and learners, it combines agile practice, teamwork, DISC awareness, testing, and critical reflection on human–AI collaboration.

This OER introduces students to designing and developing AI-powered assistants for agile software development using Flowise (no code). Learners as a team explore Retrieval Augmented Generation (RAG) and agent-based systems, applying AI to real-world agile practices while considering technical design, evaluation, and cost-aware decision-making