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.
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 P: An Automated Approach to Managing Clinical Placements
Case Study N: Identifying Effective Resources for First Year Computing Students
Case Study L: Using Examination Data Analysis Forms to Implement Year-on-Year Module Improvements
Case Study J: Collating Data from Multiple Sources to Identify At-Risk Students
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.
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.
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.
Analytics is an evidence-based methodology that prizes empirical information. As such it is appropriate that institutions should be able to provide an evidential foundation for the success of analytics itself. HEIs should seek to iteratively assess the effectiveness of their analytics strategy to ensure that it is having a positive impact on students’ experience. This document briefly discusses some of the considerations and challenges that should be born in mind when institutions are attempting analytical self-reflection.