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The purpose of this guide is to explain the National Forum’s professional development (PD) open course design and development process and to provide guidance on good practice for collaborating development teams. This document should be read by the full development team to inform their open course development proposal and preparation for delivery.

Learning Analytics Institutional Policy

This report looks at the major recurring themes in a number of exemplar international analytics policies and highlights the actions institutions may wish to take in developing their own policies and strategies

National Teaching Expert Learning Impact Awards
The national learning impact awards, co-ordinated through the National Forum, aim to support institutional efforts to promote, learn from and extend the reach of excellent practice in teaching and learning…
Teaching Hero Awards
The Teaching Hero Awards learning impact awards were first launched in January 2014. The awards are run in partnership with the Union of students of Ireland (USI). Students can nominate…

Teaching Hero Awards

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Student Intervention Guide

Analytics is invaluable for answering questions, but impact can only be achieved by acting on the answers. This guide outlines some of the key considerations for developing effective data-informed student interventions.

Student Intervention Guide

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Learning Analytics Features in Blackboard

This guide details some of the key reporting features in Blackboard that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.

Learning Analytics Features in Moodle

This guide details some of the key reporting features in Moodle that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.

Learning Analytics Features In SAKAI

This guide details some of the key reporting features in Sakai that can be of benefit to staff who teach that wish to employ a data-informed approach to their practice.

Guide to Data Quality

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Guide to Data Quality

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