Business Intelligence Special Interest Group Workshop (part 1)
Introduction - Gry Jordet, Kibsgaard, NTNU
Show case 1: The road to greatness – The journey of making dashboards for the NTNU study programmeleaders, Kjerstin Tobiassen
1) User orientation view:
Data for the annual quality report
- Helps to make decisions and assesments for quality reporting
- Gives availability to data
- Filters eg. faculty, study program etc.
My study programme
- Quite similar to quality report dashboard
Annual cycle
- Looking through the procesess, "process map"
- From budgeting to planning, covering annual cycle
- Helps to see when and what has to be done
The study programme leader
- What is his/her mission
- What responsibilities I have
- Do I have right recources
- This dashboard is done with co-operation with HR
- Helps study programme leaders, they are the target group
2) Defining quality areas, view:
- learning environment
- competence of the teaching staff
- NTNU is discussing about how the quality areas should be organized
Development process of quality areas vs. standardized indicators
- quality areas → more felxible, user orientation
- standardized indicators → comparable, systematic
Show case 2: NTU Student Dashboard -A learning analytics resource used by students and staff to understand student engagement with their studies, Ed Foster, Nottingham University
Full implementation of learning analytics 2015
Student Dashboard - learning analytics tool - uses "Solutionpath StREAM tool" = by new tech-company, commercial
1) Student-management succes
- provide students with data to self-regulate own learning
- comparisons to peers
- assigments & feedback
2) Staff-supported succes
- insight and info for staff about students
- referrals to professional services
- support to teachers
3) institution supported succes
- cohort insight
- curriculum desing and preventive interactions (eg. contacting blac students who are low engaged)
About algorythm:
- Framed in positive, High = highly engaged, not highly at risk
- Do not measure socio-economic disadvantage, only students actions online
- Algorythm uses only students activity - e-footprint: how they engage online, attendance, learning rooms, logged in data, front door usage, student card access, library loans, online submission etc.
- Gives engagement rating & alerts
- Information for staff use
Relationship between engagement & success
- Strong assosiation
Group discussion: Challenges and opportunities in making dashboards in general based on what we have seen
Plenary Short presentations from group discussions