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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.
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
This ebook is designed to support the development of early weeks induction for students new to higher education
Lost in Transition A Report on Enabling Success for Flexible Learners
Learning from the Evaluation of Assessment: How Faculty and Staff Can Use Results to Inform Practice
Resources Accompanying the Guide to Developing Enabling Policies for Digital Teaching and Learning
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.
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.
This guide introduces a number of innovative reporting systems currently in use in Irish institutions.
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.
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.
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.
Designing in Assessment OF/FOR/AS Learning Throughout the Programme
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.




















