Case Study B: Gauging Student Engagement with an Online Orientation Module
Case Study B: Gauging Student Engagement with an Online Orientation Module
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
Case Study I: Challenges in Identifying Correlation in a Small Module
Case Study I: Challenges in Identifying Correlation in a Small Module
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.