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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.
The EAT Framework: Considerations for Programme Leaders and their Students
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.
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.
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.
Head of Department’s Experience of Managing and Interrogating Programme-Level Assessment – Asking Questions
Case Study K: Using Standard Moodle Reports to Identify AtRisk Students in an Online Course
Case Study L: Using Examination Data Analysis Forms to Implement Year-on-Year Module Improvements
Case Study M: Developing a Cost-Neutral Tracker of Student Workload Distribution
Case Study N: Identifying Effective Resources for First Year Computing Students
Case Study P: An Automated Approach to Managing Clinical Placements



















