Types of Data used for Learning Analytics -- Data Sources -- Incorporating Data from Outside the Institution -- Preparing the Data for Use in Learning Analytics -- Conclusion -- References -- 9. Metrics and Predictive Modelling -- Developing Metrics from the Data -- Linear Regression -- Naïve Bayes -- Conclusion -- References -- 10. Visualisation -- Dashboards -- Other Cohort Overview Visualisations -- Representing Trends and Changes over Time -- Conclusion -- References -- 11. Intervention -- Feedback -- Triggers -- Types of Intervention -- Timing and Frequency -- Wording -- Adoption -- Evaluating the Interventions -- Conclusion -- References -- 12. Student-Facing Analytics -- The Quantified Self -- Dashboards -- Apps -- Conclusion -- References -- 13. Expert Thoughts on Logistics -- Improving the Data Sources -- Improving the Analytics -- Enhancing Feedback -- PART IV: Technologies -- 14. Architecture -- Extraction and Transformation -- Loading and Storing -- Processing -- Alerting -- Displaying -- Software Components -- Conclusion -- References -- 15. Standards -- Benefits -- Learning Technology Standards -- Emerging Standards for Learning Analytics -- Predictive Model Markup Languages -- Student Data -- Learning Activity Data -- Conclusion -- References -- 16. Products -- LMS Engagement Reporting Tools -- LMS-Centric Analytics Systems -- SIS-Centric Analytics Systems -- Business Intelligence Systems -- Platform-Independent Solutions -- Application-Specific Products -- Niche Components -- Learning Activity Provider Systems -- Conclusion -- References -- 17. Expert Thoughts on Technologies -- Data Access -- Standards, Open Architectures and Open-Source Systems -- Tools -- Reference -- PART V: Deployment -- 18. Institutional Readiness -- Leadership -- Culture and Vision -- Strategy and Investment -- Structure and Governance -- Technology and Data