Sessions for Student data and learning analytics

• Student Voices: New Research Into the Learning Challenges Students Face and Their Use and Perception of Digital Resources [A-166]
• Programme level design and analytics: a review and moving forward [A-138]
• Analysing student study choices to qualification: which study routes are best? [A-157]
• How Green was my Tally? – validating the proxies and predictions of a Learning Analytics Service [A-085]
• Hidden learning spaces: What learning analytics cannot tell us [A-148]
• A data driven approach to student engagement [A-068]
• So much data, but what tells the most accurate story? Analysis of engagement metrics vs student attainment using multiple sources across physical and virtual spaces at Anglia Ruskin University [A-140]
• A deep dive into student data to discover curriculum insights [A-129]
• Supporting large student cohorts with timely and personalised feedback [A-152]
• Using learning analytics to explore how students learn - practical considerations [A-164]
• Work. Live. Play. Learn: Social media, complexity and learning – using digital storytelling to embed the student voice in pedagogical change [A-024]
• The value of an evidence-based approach to creating a digitally enabled organisation [A-095]
• Feedback, Agency and Analytics in Virtual Learning Environments – Creating a Case for Change [A-075]
• Working towards a systemic adoption of learning analytics – stakeholder expectations and concerns [A-056]
• Learn how to complement your programme review approaches with an innovative learning analytics strategy [A-027]
• Predicting Participation and Learning Outcomes From International Exchange Experiences: A Learning Analytics Case-study From Accounting [A-026]
• Analysing students’ digital experience: personas and key drivers [A-115]