Jisc are working on ways to improve the student experience by capturing and analysing the many kinds of data that can be collected across university and college campuses. Jisc is the UK higher, further education and skills sectors’ not-for-profit organisation for digital services and solutions.
James Clay from Jisc will explore the concept of learning analytics, what kinds of data we can gather about students and their activity, how we can analyse that data and what that data tells us. Can we use data and metrics to improve the student experience? At the core of the Jisc learning analytics service is the learning data hub where academic and engagement data is collected, stored and processed.
In our Intelligent Campus project we want to extend that learning data hub to enable data to be gathered in from physical places (movement trackers, heat and CO2 sensors, smart buildings, for example) and from systems that record and monitor space and equipment usage, timetabling and other activities. By analysing when and how rooms are used organisations will be able to make smarter, more effective use of learning spaces and other facilities across campus and to improve curriculum design and delivery. The internet of things, mobile devices, and wifi makes it possible for us to gather real-time data about the environment and usage of our campuses. It is easy to imagine using this data to ensure the campus is managed effectively, but could we go further and adjust environmental conditions to improve learning. Even using facial recognition software, student reactions as they use the campus so that we can continually refine the learning experience.
We can already gather data from the digital environment , library usage, VLE activity, attendance, student records. As we start to use a range of tracking technologies, smart cards, beacons, sensors we are facing a deluge of data in the use of buildings, spaces and equipment across a college or university campus. We are faced with a breadth and depth of data which can be challenging to use effectively and have greatest impact. Interpreting the data is fraught with challenges and difficulties, as well as potential ethical and legal issues. However this wealth of data does offer the potential to deliver more satisfying experiences for students and staff as well as ensuring the campus is used as effectively as possible. What happens when we take the next step and integrate with local communities and start to interface and integrate with smart communities and smart cities?
What are the potential solutions and challenges in this space?
4. What is Jisc?
»We provide digital solutions for UK education and
research.
»Our vision is for the UK to be the most digitally-advanced
higher education, further education and research nation
in the world.
»We provide UK universities and colleges with shared
digital infrastructure and the Janet network.
»We offer expert and trusted advice on digital technology
for education and research.
4
8. What is the intelligent campus?
»There has been plenty of hype over artificial intelligence
and the internet of things.
»We believe it may be time to put aside the cynicism that
this kind of hype generates and look seriously at how we
can take advantage of these emerging technologies to
improve the student experience, teaching, learning,
libraries, research and the management of our campuses.
10. The intelligent campus
»We’re working on ways to improve the student
experience by capturing and analysing the many kinds of
data that can be collected across university and college
campuses.
»This research is developing alongside our effective
learning analytics service.
Using data to make smarter use of your estate
30/11/2018 Intelligent Campus 10
13. Learning analytics
“learning analytics is the measurement,
collection, analysis and reporting of data about
learners and their contexts, for purposes of
understanding and optimising learning and the
environments in which it occurs”
13
SoLAR – Society for Learning Analytics Research
14. How it works
Rich data on
student activity and
attainment
Data shared with
student, prompting
change
Better student
outcomes
Data explored re
patterns of
behaviour
Understanding of
behaviour-
outcomes links
Predictive models
identify students at
risk
Intervention by
teaching or support
staff
Understanding of
effectiveness of
interventions
Discussion identifies
issues which can be
addressed
Increased retention
16. Learning analytics
»Rationale
› Organisations wanted help to get started and have access to
standard tools and technologies to monitor and intervene
»Priorities identified
› Code of Practice on legal and ethical issues
› Develop a core learning analytics service with app for students
› Provide a network to share knowledge and experience
16
17. Learning analytics
»Data Explorer Release 2.0
› View data in learning records warehouse
› Site Overview – overview of all data
› My Students and My Modules
› RAG Status and predictive models
17
18. Learning analytics
»Study Goal
› Social learning app with gamification
› Setting targets and logging self-declared
activity (fitbit model)
› View activity and attainment data
› Student Attendance Check-in
18
20. What are we doing?
»At the core of the learning analytics service is the
Learning Data Hub where academic and engagement
data is collected, stored and processed.
»We’ll extend the Learning Data Hub to enable data to be
gathered in from physical places (movement trackers,
heat and CO2 sensors, for example) and from systems
that record and monitor space and equipment usage,
timetabling and other activities.
20
21. What are we doing?
»By analysing when and how rooms are used organisations
will be able to make smarter, more effective use of
learning spaces and other facilities across campus and to
improve curriculum design and delivery.
»Making timely interventions to ensure that the best
available spaces are being used for each session will
enable students to learn more effectively and ensure that
the organisation is running efficiently – but this is only
the start.
21
44. Join in the discussion
»Go to the Intelligent Campus webpage
› https://jisc.ac.uk/rd/projects/intelligent-campus
»Follow the Intelligent Campus blog
› https://intelligentcampus.jiscinvolve.org
»Join the mailing list
› https://www.jiscmail.ac.uk/cgi-
bin/webadmin?SUBED1=INTELLIGENTCAMPUS&A=1
»Join theTwitter conversation: #intelligentcampus
44
Smart Campus
Digital Campus
So what is the Intelligent Campus
Analytics
Algorithms
Learning from behaviours
Interventions
Timely
Feedback loop
Challenge
Data structure and definitions.
Maps
Space utilisation
Learning space description
Movement and tracking data
Sensors
Temperature
Humidity
CO2 levels
Timetabling
Fitness Apps
Mobile Apps
CCTV
IoT
Smart buildings
RFID Tracking
Wi-Fi Tracking
Autonomous vehicles
Can we create an intelligent estate that increases space utilisation, increased room efficiency, allows for intelligent timetabling, reduces energy costs. Universities and colleges have large numbers of buildings of varying ages and conditions, spread over a wide geographic area, sometimes multiple campuses. Managing energy, waste and resources efficiently is important for a number of reasons, including financial pressures, environmental principles and regulations, and improved working conditions for campus users.
Most universities and colleges provide good quality traditional campus maps on paper and electronically, however, these could be hugely enhanced using the technology and data that is increasingly available. Combining this data with smartphone apps and electronic signage will improve the experience of campus users. Could we make the campus easier and smarter for students?
If the spaces we use for teaching and learning could speak to us, what would they say? The spaces across colleges and universities are core to teaching and learning. Are we using them effectively to enhance and enrich the learning journey? By analysing when and how rooms are used organisations will be able to make smarter, more effective use of learning spaces and other facilities across campus and to improve curriculum design and delivery.
Across universities and colleges are empty offices and work spaces, however there are also complaints from staff about lack of space, access and collaborative spaces. Meeting rooms are usually constantly booked. With an increase in blended learning, online delivery and a need to work smarter, could we gather information on what kinds of work spaces staff require, and deliver the right kinds of environments at the right time?
Can we take the physical campus and make it porous and extend it into the wider city. Connect with city wide services such as transportation, health, wellbeing. Universities and colleges will increasingly offer tailored, and personalised, student apps for smartphones that are informed by the intelligent campus. These will communicate with the smart city and the data it provides, including travel, leisure and wellbeing information.
Can we take the physical campus and make it porous and extend it into the wider city. Connect with city wide services such as transportation, health, wellbeing. Universities and colleges will increasingly offer tailored, and personalised, student apps for smartphones that are informed by the intelligent campus. These will communicate with the smart city and the data it provides, including travel, leisure and wellbeing information.
Image Source: https://flic.kr/p/6KDtm Marcello Maria Perongini .: Any question??? :. CC BY-NC-ND 2.0