An Introduction to the Learning Analytics and Educational Data Mining for Learning Impact Project

[favorite_button]
An Introduction to the Learning Analytics and Educational Data Mining for Learning Impact Project

Creator(s) (alphabetical)

Organisation(s)

National Forum

Discipline(s)

Teaching & Learning

Topic(s)

Learning Analytics, National Forum Publications, Student Success

License

CC BY

Media Format

PDF

Date Submitted

Submitted by

Export Resource Data

Description

An Introduction to the Learning Analytics and Educational Data Mining for Learning Impact Project

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

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.
National Forum (06/08/2026). An introduction to the learning analytics and educational data mining for learning impact project. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/an-introduction-to-the-learning-analytics-and-educational-data-mining-for-learning-impact-project/ 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

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 case study outlines a first-year intervention at SETU Waterford using a timetabled weekly session to tackle common causes of academic failure such as time management, assessment planning. and study skills. It is intended for programme teams seeking practical, low-resource approaches to improving student progression and retention.