Case Study C: Identifying Resources that Best Assist Students to Reach Learning Outcomes
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 D: Identifying Students in Need of Targeted Support
Case Study E: Assessing Students’ Engagement and Responses
Case Study E: Assessing Students’ Engagement and Responses
Case Study F: Balancing Quantitative and Qualitative Data to Drive Change
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 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 H: Using Data to Identify Students that have not Accessed the VLE and Incorporating Feedback into Module
Designing Automated Interventions/Communications
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.
Learning Analytics Proposed Principles
An ethical approach to data use is critical for maintaining the confidence and trust of students and staff. This guide outlines a set of principles, developed in collaboration with the Irish sector, that may help to shape your own principles of data use.
Learning Analytics Institutional Policy
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
Learning Analytics and Data Protection in Ireland
Learning Analytics and Data Protection in Ireland
