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.
LAK18: Jojo Manai — Teachers Co-designing Innovations and Sharing Data to Improve Outcomes
1. TEACHERS CO-DESIGNING INNOVATIONS
AND SHARING DATA TO IMPROVE
OUTCOMES
Jojo Manai
Senior Associate, Director of Analytics & Collaborative Technology
Carnegie Foundation for the Advancement of Teaching
4. Last Decade: Performance Management
Using Accountability to Drive Change
Set targets
Create incentives
Collect data/dashboards
Hold individuals accountable “Go figure it out or else…”
5. Last Decade: Evidence-based
Practice Movement
An academic has an
idea
He/she design and fine
tunes an intervention
An RCT field trial
(5 years later)
Evidence
it can work
Reviewed and Goes on an “approved list”
Districts required to
only use from approved list
Educators “Implement with Fidelity”
Practice Improves!
9. A DIVERSE COLLEAGUESHIP
Research
Knowledge
Profound
Knowledge
W. Edwards Deming
Research Knowledge: Knowledge about what works.
Improvement Knowledge: The interaction of the
theories of systems, variation, knowledge, and
psychology.
Professional
Knowledge
Improvement
Knowledge
Professional Knowledge: Knowledge of local
organizational context, structures, and processes.
10. “ALL TEACH, ALL LEARN” ETHOS
NICs
Combine research,
professional,
improvement
knowledge in creative
ways to develop
effective changes for
improvement.
11. • Early Literacy
• Developmental Math
• Teaching Effectiveness
• Student Agency
• Etc…
Examples of
NICs:
13. The Problem – Developmental Math
Crisis
60-70%
of community college
students need at least
one developmental math
course before enrolling in
college-credit courses
80%
of those students
never get out of the
developmental math
pathway
500,000
students
in every cohort will
never complete the
math requirement
We cannot continue to use the same
approach and expect different results.
15. 15
Anatomy of The Carnegie Math Pathways Network
● 48 institutions
● 96 administrators & leaders
● 14 faculty mentors
● 40 faculty facilitators
● 318 faculty & TAs
● ~8000 pathways students
16. Theory of Improvement
GOAL:
Increase the
number of students
achieving college
math credit within
one year of
continuous
enrollment
Accelerated Pathway through
College Level Math
Productive Persistence
Quality System of Instruction
Language Support
Faculty Support
Networked Improvement
Community (NIC)
16
17. Theory of Improvement
Productive Persistence
17
• Mindset
• Stereotype Threat
• Math Anxiety
• Belonging Uncertainty
• Professor Cares
• Comfort Asking Questions
18. start end
Term
PP x1 PP x2
start end
Course
0 …
n
MCK
...
Report Report Report
PP x3
data collection
data visualization
Productive Persistence Survey Administration