LAK18: Michael Cejnar — edQuire: Providing teachers with insights into students’ ICT competencies
LEARNING ANALYTICS IN SCHOOLS https://latte-analytics.sydney.edu.au/school/ for updates. Date: Monday 5 March, 2018 Time: 8.30am—3.15pm Venue: SMC Conference & Function Centre, 66 Goulburn Street, Sydney NSW 2000 In association with the 8th International Conference on Learning Analytics & Knowledge, Society for Learning Analytics Research Briefing papers: https://latte-analytics.sydney.edu.au/wp-content/uploads/2017/10/k12_papers-1.pdf You are warmly invited to join this inaugural event! The data and analytics revolutions are disrupting and already transforming many sectors in society: finance, health, shopping, politics. Data is not new to education, but for many, it is still challenging to articulate the connection between the potential of using data to support decision making, and the every day-to-day operations occurring in learning environments. School leaders, teachers, data analysts, academics, policy makers and all other interested parties are invited to join a professional learning and development day focused on the practical applications of Learning Analytics in school (K-12) education. Drawing on national and international expertise, speakers include innovative school leaders and teachers, school data analysts, university researchers, government and software companies. Whether you already know a bit about Learning Analytics, are brand new to it, or already use it in the classroom, there will be insightful sessions with pertinent applications for all levels of knowledge and understanding. You will leave with a deeper understanding of: The diverse forms that Learning Analytics can take, and especially how technology extends this far beyond conventional school data to create better feedback How such data is being used by school leaders to support strategic reflection How new kinds of data are being used by teachers to support their practice The practicalities of initiating such work in your own school This is the first event of its kind in Australia, and a new initiative for the international LAK conference, so you will make many professional connections as we forge this new network.
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LAK18: Michael Cejnar — edQuire: Providing teachers with insights into students’ ICT competencies
- 1. Dr Michael Cejnar, MBBS, FRACP, Founder FIC Technology Pty Ltd LEARNING ANALYTICS IN SCHOOLS LAK18, Sydney 3 March 2018 (V0.3)
- 2. Post DER ICT Usage in STEM S.Crook Simon J. Crook, Manjula D. Sharma. Bloom-ing Heck! The Activities of Australian Science Teachers and Students Two Years into a 1:1 Laptop Program Across 14 High Schools. Int. J. of Innovation in Science and Mathematics Education, 21(1), 54-69, 2013
- 3. ICT Learning Student learning on computer, do we know: – Computer use – amount, type, different subjects? – Engagement – On-task vs Off-task vs Exploring – Participation – in variety of ICT activities for skills – Distractibility, task switching – Student ICT, Search & Literacy skills – Bloom Taxonomy levels and – Which lead to improved learning?
- 4. edQuire K-12 Learning Analytics
- 6. EdQuire K-12 Live Classroom
- 8. Lesson Learning Flow Display
- 12. edQuire data Data analysed from: • 4 schools, consisting of 549 students (52% girls) • years 7-12 • including 21,454 lessons, >750,000 activities. • Jan to Nov 2017
- 13. Computer use
- 15. Top 20 Off-Task
- 16. Searching: 5.6 times per student per lesson Almost all use Google Internet Search Skills …and non-advanced
- 17. Student Distractibility Distribution of durations of activities Task Duration or Dwell Time Student Distractibility by Year
- 18. 1.5% used advanced internet search skills School LMS - Canvas MS Word Google Docs PowerPoint MS Word Education Perfect Research based activities 19% used advanced internet search skills Subject: Science Year Level: 7, 8, 9, 10 School: Co-ed Period: Feb 2018 Student N: 307 Subject: Science Year Level: 7, 8, 9, 10 School: Co-ed Period: Feb 2018 Student N: 300 Student-centered learning Student-self-directed Traditional Teaching ScienceSTEM - ICT Activities vs Learning Approach email CAD Generic Student Activities (GSA)
- 19. Blooms Digital Taxonomy Bloom Digital Taxonomy for all Computer Resources
- 20. Bloom Taxonomy - High vs low groups Bloom Taxonomy variability vs Subjects and Teachers Bloom vs Student & Teacher
- 21. Bloom score vs Subject & Teacher Bloom Taxonomy – All TeachersBloom Taxonomy – vs Subjects
- 22. 3. Informing Student - Feedback Giving Students their own On-task Engagement Feedback Self-Regulation N=153, 8 wk base and 8 wk Fbk Student’s Own Console
- 23. Implementing LA in School • Several days install 1. Student data / timetable via EdVal, Timetabler DB connection via LISS/SIFF. No CSV 2. Deploy agents via image or AD Group Policy, PDQ Deploy, Jamf 3. We auto-register and SSO 4. Auto roll-over terms 5. Admin console for maintenance • Train Teachers and IT and educators
- 24. Challenges with LA in Schools • Implementation: School data quality & Network inter-operability (LISS) • Completing the Analytics process: Capture → Report → Predict → Act →Refine • Validating – getting outcomes so can regress vs computer use & test actions • Data privacy, ownership, security
- 25. Summary & Thank You