Case Study N: Identifying Effective Resources for First Year Computing Students
Case Study N: Identifying Effective Resources for First Year Computing Students


Case Study N: Identifying Effective Resources for First Year Computing Students
Case Study O: Assessing Students’ Engagement with Online Quizzes over the Course of their Programme
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.
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.
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.
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.
Analytics is an evidence-based methodology that prizes empirical information. As such it is appropriate that institutions should be able to provide an evidential foundation for the success of analytics itself. HEIs should seek to iteratively assess the effectiveness of their analytics strategy to ensure that it is having a positive impact on students’ experience. This document briefly discusses some of the considerations and challenges that should be born in mind when institutions are attempting analytical self-reflection.
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.