2. UvAInform: Past, Present, and Future
•From “Bottom-Up” tender procedure (more = less)
•Dilution of funds, disconnected pilot projects
•Lack of strategic vision (trial and error)
•To “Top-Down” project (less = more)
•1/3 of budget devoted to ‘lasting’ central
infrastructure
•Limited number of goal directed pilot projects
•Need for a vision
•Parallels?
4. FOCUS GROUP
Learning Analytics framework
SECURITY
ETHICS BOARD
UvAInform
Pilot A
UvAInform
Pilot z
COACH
FACTS
Learning Record
Store
Service A
Activity
Service X
Video
UvAInform Year 1
Prediction framework +
Fact generations
LMS next gen
BasicLTI
tools
OAAI
Blackboard Analytics
Course Signals
Caliper
Warehouse
Research
Services
SIS
5. Learning Record Store
as part of an analytics framework
FOCUS GROUP
SECURITY
GUIDELINES
Mobile
MOOC?
ETHICS BOARD
MijnUvA
Video
OpenAPI
Thin adaption
service
BasicLTI tools
Inter organizational
Research
community
Cloud service
LRS
Rosters
Non TinCAN API
Services
UvAInform Pilots
VU
Service
UvACommunities
BlackBoard
http://tincanapi.com/adopters/
Including BlackBoard, Sakai CLE, Apereo OAE
QuestionMark. Lots more to come
Standards = Market penetration
Question
Mark
/Exams
Next Generation
LMS showcases
HvA
Service
University Z
service
6. Stage 1: Learning Record Store with Dashboards
Learning Record Store
•Standards based
•Talking with the same machine readable data format
•Market share
Regional / International
We can attach services from departments,
VU the HvA through the LRS. Avoiding
duplication, leveraging investment,
sharing experience, increasing quality by
cross validation.
•Compatible with other a number of validated frameworks
•Eliminates much of the data cleaning
•Secure Repository
Validation across services
DashBoards
If we speak the same language, we can
consistently validate services
•Experiment with interventions
•Experiment with benchmarking validation
•Start of process of growing regional services
•Breaking down silos
•Forces ethics committee other processes
•Fuller overview
Services for researchers
We can now provided a wide range of
consistent data practices for researchers
7. Responsibilities of the Focus group
•
•
•
•
•
•
•
•
Vision
Avoid duplication of effort
Guidelines
Communication channel with the VU and HvA, Surf,
Internationally
Starter engine for ethics board
Source of advice for Learning Analytics (related) projects
Market research
Matchmaking
8. Something to take away
• Without an LRS we are stuck with data silo’s, dirty
data, no clear strategy to work together
• Standards decouple components in the infrastructure
• Standards support validation across services
• Standards and guidelines are mutually supportive
• Researcher friendly
• Lets look towards a uniform set of guidelines for products
services
• Lets work with an International community
• Let’s look towards data democracy between facilities
