Learning Analytics Features in Blackboard
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.
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
Student Intervention Guide
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.
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
Importance of adopting a consultative approach to implementation of Learning Analytics
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.
Guide to identifying Research Questions in Learning Analytics
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.
Guide to Data Quality
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.
