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National Forum for the Enhancement of Teaching and Learning in Higher Education
We are the national advisory body for teaching and learning in Irish higher education
National Forum for the Enhancement of Teaching and Learning in Higher EducationNational Forum for the Enhancement of Teaching and Learning in Higher Education
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  • About
    • Strategy
    • Staff Associates
  • Our Priorities
    • Artificial Intelligence
    • Education for Sustainable Development
    • Recognising Excellence in Teaching and Learning
    • The Professional Development of All Those Who Teach
    • Teaching and Learning in a Digital World
    • Teaching and Learning Enhancement Within and Across Disciplines
    • Student Success
    • Assessment OF/FOR/AS Learning
    • Teaching for Transitions
  • Awards
    • SATLE Impact Award
    • DELTA Award
    • T&L Research Fellowships
    • Teaching Hero Awards
  • Funding
    • SATLE
    • Open Courses Development & Delivery
    • Funded Teaching & Learning Initiatives
  • News & Events
    • News
    • Events
    • Conference
    • Ezine
    • Media and Branding
  • Resources
    • National Resource Hub
    • National Forum Publications
    • National Forum Insights
    • Research Reports

Archives: Guide

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Data Protection Checklist for Learning Analytics

By Colin LowryAugust 15, 2017

Adapted from the Data Protection Commissioner’s Office’s data protection checklist, this guide outlines the key steps staff and institutions must take to ensure compliance with data protection legislation.

Importance of adopting a consultative approach to implementation of Learning Analytics

By Colin LowryAugust 15, 2017

Collaboration and consultation are essential for whole-of-institution approaches. This resource outlines some of the colleagues that you may wish to consider working with to develop your approach.

Guide to identifying Research Questions in Learning Analytics

By Colin LowryAugust 15, 2017

The value of data lies in answering questions so knowing what question(s) you want to answer is an essential first step. This guide details some of the areas that data can be used to investigate.

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