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
Case Study J: Collating Data from Multiple Sources to Identify At-Risk Students
Case Study J: Collating Data from Multiple Sources to Identify At-Risk Students
Case Study L: Using Examination Data Analysis Forms to Implement Year-on-Year Module Improvements
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 M: Developing a Cost-Neutral Tracker of Student Workload Distribution
Case Study N: Identifying Effective Resources for First Year Computing Students
Case Study N: Identifying Effective Resources for First Year Computing Students
Topics for Consideration when Selecting an LA Vendor
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.
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.
