UvAinformStefan MolAlan Berg

Jan 29th 2014

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?

UvAInform Pilots

Moocs

Blackboard / ELO

Digital testing Open Online Education

Grassroots

SIS

Blackboard

Learning Analytics framework

Learning Record Store

Prediction framework + Fact generations

OAAIBlackboard AnalyticsCourse SignalsCaliperWarehouse

SIS

LMS next genVideoBasicLTI tools

FACTS

Service A

Service XActivity

Research Services

UvAInform Pilot A

UvAInform Pilot z

FOCUS GROUP

SECURITY

ETHICS BOARD

COACH

UvAInform Year 1

Learning Record Store as part of an analytics framework

FOCUS GROUP

SECURITY

GUIDELINES

ETHICS BOARD

LRS

HvA Service

VU Service

Research community

Cloud service

Inter organizational

University Zservice

Question Mark /Exams

MijnUvA

UvACommunities

BasicLTI tools

Video

http://tincanapi.com/adopters/

Including BlackBoard, Sakai CLE, Apereo OAEQuestionMark. Lots more to come

Standards = Market penetration

Next Generation LMS showcases

BlackBoard

OpenAPI

MOOC?Mobile

Rosters

Thin adaption service

Non TinCAN API Services

UvAInform Pilots

Stage 1: Learning Record Store with Dashboards

Learning Record Store

•Standards based

•Talking with the same machine readable data format

•Market share

•Compatible with other a number of validated frameworks

•Eliminates much of the data cleaning

•Secure Repository

DashBoards

•Experiment with interventions

•Experiment with benchmarking validation

•Start of process of growing regional services

•Breaking down silos

•Forces ethics committee other processes

•Fuller overview

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.

Validation across services

If we speak the same language, we can consistently validate services

Services for researchers

We can now provided a wide range of consistent data practices for researchers

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

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