Using Learning Analytics to Support the Enhancement of Teaching and Learning in Higher Education
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An Introduction to the Learning Analytics and Educational Data Mining for Learning Impact Project
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
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.
Although bespoke platforms are not essential for developing a data-informed approach, for any institution that is considering doing so, identifying the right platform is important. This document lists a number of essential considerations for opting for a reporting system that is right for your institution’s reporting needs.
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.
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.
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
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.
Automated interventions can be highly impactful, once they are worded and structured carefully and thoughtfully. This resource introduces some of the key steps for ensuring effective student communications.
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.
Case Study C: Identifying Resources that Best Assist Students to Reach Learning Outcomes
Case Study D: Identifying Students in Need of Targeted Support
Case Study E: Assessing Students’ Engagement and Responses
Case Study F: Balancing Quantitative and Qualitative Data to Drive Change
Case Study G: Using Standard Blackboard Features to Assess Students’ Usage of the VLE
Case Study H: Using Data to Identify Students that have not Accessed the VLE and Incorporating Feedback into Module
Case Study I: Challenges in Identifying Correlation in a Small Module
Case Study J: Collating Data from Multiple Sources to Identify At-Risk Students
Assessing the Success of Analytics-led Interventions
Case Study A: Gauging Student Engagement in a Blended Programme
Case Study B: Gauging Student Engagement with an Online Orientation Module
Learning Analytics and Data Protection in Ireland
Case Study O: Assessing Students’ Engagement with Online Quizzes over the Course of their Programme