Jisc is developing a national learning analytics service in the UK to help higher education institutions improve student retention, attainment, and experiences. The service will include a learning analytics toolkit, community, and centralized data and analytics service. The goals are to provide institutions with standardized tools and analytics to help identify at-risk students and improve teaching and support based on aggregated student data. A phased rollout is planned over two years to develop dashboards, alerts, and apps to visualize analytics and enable interventions.
Introduction to Jisc's Learning Analytics project - Sept 2015mwebbjisc
Introducing core aspects of Jisc Learning Analytics project, including an overview of key user components, data collection, code of conduct and project timelines.
KeyNote Speech
10th International Conference of Science, Mathematics & Technology Education
Mauritius Institute of Education, Reduit, Mauritius
6 November 2019
Introduction to Jisc's Learning Analytics project - Sept 2015mwebbjisc
Introducing core aspects of Jisc Learning Analytics project, including an overview of key user components, data collection, code of conduct and project timelines.
KeyNote Speech
10th International Conference of Science, Mathematics & Technology Education
Mauritius Institute of Education, Reduit, Mauritius
6 November 2019
Kanta Nakamura, Kazushi Okamoto: Directed Graph-based Researcher Recommendation by Random Walk with Restart and Cosine Similarity, Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS-ISIS2020), 2020.12
Kanta Nakamura, Kazushi Okamoto: Development of a Collaborator Recommender System Based on Directed Graph Model, 20th International Symposium on Advanced Intelligent Systems and International Conference on Biometrics and Kansei Engineering (ISIS2019&ICBAKE2019), 2019.12
Developing an Educational Intervention with Social Media to enhance the Digit...Francesc Esteve
Paper presented at The European Conference on Educational Research (ECER 2017), Copenhagen. Developing an Educational Intervention with Social Media to enhance the Digital Competence of Student-Teachers.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
We bring to you the analytics and data science training institute ranking for the year 2019. As a part of the study, we reached out to 20+ institutes that are offering training in the area of new tech.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
CPUT Fundani TWT - 22 May 2014
Analytics is a buzzword that encompasses the analysis and visualisation of big data. Current interest results from the growing access to data and the many software tools now available to analyse this data in Higher Education, through platforms such as Learning Management Systems. This seminar provides an overview of current applications and uses of learning analytics and how it can help institutions of learning better support their learners. The illustrative examples look at institutional and social media data that together provide rich insights into institutional, teaching and learning issues. A few simple ways to perform such analytics in a context of Higher Education will be introduced.
What framework for a responsible use of AI in education?OECD Berlin Centre
Präsentation von Stéphan Vincent-Lacrin im Rahmen der Veranstaltung "Künstliche Intelligenz an der Schule?" von OECD Berlin Centre und Konrad-Adenauer-Stiftung am 2.Oktober 2020
Doctoral Consortium: Applying Quantified Self Approaches to Support Reflectiv...veronicarp
Slides of my presentation at the MobileHCI Conference, September 2012, San Francisco. We presented and discussed our approach at the Doctoral Consortium.
Report on requirements and expectations surveyBlue BRIDGE
Results from BlueBRIDGE survey on data management for the marine and aquaculture sector.
Respondents: 212 members of the French Business and Sea Innovation Cluster, the Pôle Mer Bretagne Atlantique.
These are the slides of an online presentation for the Open Recognition Alliance Community - Sept 27th 2017. It is a preview of my keynote at the ePIC Conference which will take place on the 26th October 2017, Bologna.
Presentation of the upcoming European Commission's JRC report on blockchain in education focusing on digital accreditation of learning. Groningen, 5th September 2017
Speakers:
David Lewis, senior analytics consultant, Jisc
Mike Hughes, IT director, City University, London
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
Kanta Nakamura, Kazushi Okamoto: Directed Graph-based Researcher Recommendation by Random Walk with Restart and Cosine Similarity, Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS-ISIS2020), 2020.12
Kanta Nakamura, Kazushi Okamoto: Development of a Collaborator Recommender System Based on Directed Graph Model, 20th International Symposium on Advanced Intelligent Systems and International Conference on Biometrics and Kansei Engineering (ISIS2019&ICBAKE2019), 2019.12
Developing an Educational Intervention with Social Media to enhance the Digit...Francesc Esteve
Paper presented at The European Conference on Educational Research (ECER 2017), Copenhagen. Developing an Educational Intervention with Social Media to enhance the Digital Competence of Student-Teachers.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
We bring to you the analytics and data science training institute ranking for the year 2019. As a part of the study, we reached out to 20+ institutes that are offering training in the area of new tech.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
CPUT Fundani TWT - 22 May 2014
Analytics is a buzzword that encompasses the analysis and visualisation of big data. Current interest results from the growing access to data and the many software tools now available to analyse this data in Higher Education, through platforms such as Learning Management Systems. This seminar provides an overview of current applications and uses of learning analytics and how it can help institutions of learning better support their learners. The illustrative examples look at institutional and social media data that together provide rich insights into institutional, teaching and learning issues. A few simple ways to perform such analytics in a context of Higher Education will be introduced.
What framework for a responsible use of AI in education?OECD Berlin Centre
Präsentation von Stéphan Vincent-Lacrin im Rahmen der Veranstaltung "Künstliche Intelligenz an der Schule?" von OECD Berlin Centre und Konrad-Adenauer-Stiftung am 2.Oktober 2020
Doctoral Consortium: Applying Quantified Self Approaches to Support Reflectiv...veronicarp
Slides of my presentation at the MobileHCI Conference, September 2012, San Francisco. We presented and discussed our approach at the Doctoral Consortium.
Report on requirements and expectations surveyBlue BRIDGE
Results from BlueBRIDGE survey on data management for the marine and aquaculture sector.
Respondents: 212 members of the French Business and Sea Innovation Cluster, the Pôle Mer Bretagne Atlantique.
These are the slides of an online presentation for the Open Recognition Alliance Community - Sept 27th 2017. It is a preview of my keynote at the ePIC Conference which will take place on the 26th October 2017, Bologna.
Presentation of the upcoming European Commission's JRC report on blockchain in education focusing on digital accreditation of learning. Groningen, 5th September 2017
Speakers:
David Lewis, senior analytics consultant, Jisc
Mike Hughes, IT director, City University, London
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
Implementing analytics - Myles Danson, Shri Footring, David Matthews, James F...Jisc
Led by Myles Danson, senior co-design manager and Shri Footring, senior co-design manager - enterprise, both Jisc.
With contributions from:
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James Foster, planning analyst, University of Kent
Connect more in London, 28 June 2016
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Begona Nunez-Herran and Kevin Mayles (Data and Student Analytics), Rebecca Ward (Data Strategy and Governance)
-Move towards centralised LA data infrastructure
-Data governance and lessons learned
Prof Bart Rienties & PhD students (Institute of Educational Technology)
-What is the latest “blue sky” learning analytics research from the OU?
-Rogers Kalissa: Social Learning Analytics to support teaching (University of Oslo)
-Saman Rizvi: Cultural impact of MOOC learning (IET)
-Shi Min Chua: Why does no one reply to my posts (IET/WELS)
-Maina Korir: Ethics and LA (IET)
-Anna Gillespie: Predictive Learning Analytics and role of tutors (EdD)
Prof John Domingue (Knowledge Media Institute) & Dr Thea Herodotou (IET)
-What have we learned from 5 years of large scale implementation of OU Analyse?
-Where is LA/AI going?
Implementing analytics - Rob Wyn Jones, Shri Footring and Rebecca DaviesJisc
Led by Rob Wyn Jones, consultant and Shri Footring, senior co-design manager - enterprise, both Jisc.
With contribution from Rebecca Davies, pro vice-chancellor and chief operating officer, Aberystwyth University.
Connect more in Wales, 7 July 2016
Assessing and Progressing Digital Literacies as a Strategic ConcernJulian Prior
Conference workshop at the 2013 International Blended Learning Conference, University of Hertfordshire. Authors: Helen Beetham, Julian Prior, Neil Witt.
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what we're doing in this space. You'll have the opportunity to discover more about our digital apprenticeships project, as well as our new toolkits in this area.
How are your staff and students using digital?Jisc
A presentation at Connect More in England (Manchester), 27 June 2019.
Speaker: Sarah Knight, head of change - student experience, Jisc.
It is anticipated that, within 20 years, 90% of jobs will require digital skills, so it’s important that universities and colleges are in a good position to prepare today’s students for tomorrow’s workplace. Understanding how students use technology and their attitudes towards its use in learning is a good place to start.
As universities and colleges are investing large sums of money into their digital environment, how do we know if this investment is being realised by staff and students using the technology effectively? In this hands-on workshop, delegates will have the opportunity of using tools and resources to support them with gathering evidence of how staff and students are using technology.
Speakers:
David Lewis, senior analytics consultant, Jisc
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
VII Jornadas eMadrid "Education in exponential times". "Open Analytics in an ...eMadrid network
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A deep dive into student data to discover curriculum insights
Authors: Paul Bailey, Niall Sclater, Michael Webb, Alan Paull, and Scott Wilson
A full set of slides around curriculum analytics.
Jisc learning analytics MASHEIN Jan 2017Paul Bailey
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Education Institutions Network)
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Presentation on 27 January at the Centre for Recording Achievement seminar on Technology to support 21 Century Tutoring: new and emerging developments. Paul Bailey, Lisa Grey and Ruth Drysdale
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
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Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Chapter 3 - Islamic Banking Products and Services.pptx
UKSG Jisc learninganalytics-3june2016
1. Paul Bailey, Senior Codesign Manager, Research and Development
Jisc Building a national learning analytics service
2. Outline
Background
Overview of the LearningAnalytics Service
A user view of the service
Library Analytics Labs
2UKSG Building a national learning analytics service
3. About Jisc…
3
It operates shared digital
infrastructure and services,
negotiates sector-wide deals
with IT vendors and commercial
publishers, and provides trusted
advice and practical assistance
for universities and colleges.
Jisc is the UK higher and
further education sectors’
not-for-profit
organisation for digital
service and solutions.
UKSG Building a national learning analytics service
4. Effective Learning Analytics Challenge
Rationale
Universities and colleges don't have enough useful data about students and how they are learning.
What they have they don’t analyse and interpret.They are missing opportunities to use technology to
provide feedback to students.They need to support staff who could be using analytics and a standard
set of tools and technologies to monitor and intervene.
Who it affects and how
Students are missing out on the possibility of an improved experience, better retention, and better
achievement.
Staff are missing the opportunity to develop skills to use analytics to improve support, teaching and
curriculum design.
Timescale
Pilot tools and metrics 1-2 years
Impact on retention, achievement and progression 3-4 years.
4UKSG Building a national learning analytics service
6. 6
“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”
SoLAR – Society for Learning Analytics Research
UKSG Building a national learning analytics service
7. What do we mean by Learning Analytics?
The application of big data techniques such as machine based learning
and data mining to help learners and institutions meet their goals:
For our project:
» Improve retention (current project)
» Improve attainment (current project)
» Improve employability (future project)
» Personalised learning (future project)
7UKSG Building a national learning analytics service
8. Retention
178,100 students aged 16-18 failed to finish post-secondary school
qualifications they started in the 2012/13 academic year
costing £814 million a year - 12 per cent of all government spending on
post-16 education and skills (Centre for Economic and Social Inclusion
8% of undergraduates drop out in their first year of study
This costs universities around £33,000 per student
students with 340 UCAS points or above were considerably less likely
(4%) than those with less UCAS points (9%) to leave their courses
without their award
UKSG Building a national learning analytics service 8
9. Attainment
70% of students reporting a parent with HE qualifications achieved
an upper degree, as against 64% of students reporting no parent
with HE qualifications
In all disciplines except Computer Science, Medicine and Dentistry,
and Physical Science, students with a parent with an HE
qualification were more likely to have achieved an upper degree
Overall, 70% ofWhite students and 52% of BME students achieved
an upper degree
UKSG Building a national learning analytics service 9
10. Jisc’s Learning Analytics Project
10
Three core strands:
Learning
Analytics Service
Toolkit Community
Jisc Learning Analytics
UKSG Building a national learning analytics service
11. Community: Project Blog,
mailing list and network events
Blog: http://analytics.jiscinvolve.org
Mailing: analytics@jiscmail.ac.uk
11Learning Analytics - Initial Meetings 2015
14. Toolkit: Learning Analytics in Higher Education: A
review of UK and international practice
Including case studies on
Traffic Lights and Interventions: Signals at Purdue University
Analysing use of theVLE at the University of Maryland, Baltimore
County
Identifying at-risk students at NewYork Institute ofTechnology
Fine-grained analysis of student data at California State University
Transferring predictive models to other institutions from Marist
College
Enhancing retention at Edith Cowan University
Early alert at the University of New England
Developing an ‘analytics mind-set’ at the Open University
Predictive analytics at NottinghamTrent University
Analysing social networks at the University of Wollongong
Personalised pathway planning at Open Universities Australia
https://www.jisc.ac.uk/reports/learning-analytics-in-higher-education
UKSG Building a national learning analytics service 14
15. Toolkit: Discovery Institutional Readiness
A process to support institutions to access their readiness to implement learning
analytics
2015-16 –Three days onsite consultancy visit of workshops, focus groups and
interviews
Review of the reports form 26 institutions are being used to develop a new readiness
process
2016 -17 – Overview workshop, introducing a “Readiness Toolkit” with a diagnostic
set of questions and support materials leading to implementation.
Further details will be announced via analytics @jiscmail.ac.uk
UKSG Building a national learning analytics service 15
16. Toolkit: Data structures and definitions
Contains the Student Unified Data Definitions and the
Jisc xAPI recipes (for learner activity data)
The main branch contains the latest agreed versions
»Other branches contain versions in development
Contributions and modifications are welcome!
https://github.com/jiscdev/learning-analytics
UKSG Building a national learning analytics service 16
19. Dashboards
19
Visual tools to allow lecturers, module leaders,
senior staff and support staff to view:
» Student engagement
» Cohort comparisons
» etc…
Based on either commercial tools from Tribal
(Student Insight) or open source tools from
Unicon/Marist (OpenDashBoard)
Learning Analytics - Initial Meetings 2015
24. Alert and Intervention System
Tools to allow management of interactions with students
once risk has been identified:
» Case management
» Intervention management
» Data fed back into model
» etc…
Based on open source tools from Unicon/Marist
(Student Success Plan)
24Learning Analytics - Initial Meetings 2015
26. First version will include:
» Overall engagement
» Comparisons
» Self declared data
» Consent management
Bespoke development by Therapy Box
26
Student App
Learning Analytics - Initial Meetings 2015
27. Student Learning Analytics App 27
Stats – Provides an engagement
and attainment overview and
drilling down to gives
comparative activity graphs.
Log – Allows you to log time
spent on specified activities e.g.
reading for an assignment
Target – Allows you set personal
targets to improve your
engagement e.g. study for 10
hours this week
28. The Learning Analytics Project in numbers
Expressions of interest: 85
Engaged in activity: 35
Discovery to Sept 16: agreed (26), completed (14),
reported (10)
Learning Analytics Pre-Implementation: (12)
Learning Analytics Implementation: (7)
28UKSG Building a national learning analytics service
29. Learning Analytics - Initial Meetings 2015 29
Phase 1&2
Sep 15 – Apr 16
Phase 2&3
Jan – Sept 16
Transition to
Service
Sept 16 – July 17
Jisc Learning
Analytics Service
Sept 2017
30. Building on the learning analytics service
Freemium vs premium service
Integration of third party products into the architecture
Briefing day in April attended by 30 suppliers
Supplier demos and panel at network meeting 22 June, Newman College,
Birmingham
Analytics Labs
Development teams work with data to produce new dashboards and
visualisations
UKSG Building a national learning analytics service 30
31. Analytics Labs – user stories approach
UKSG Building a national learning analytics service 31
32. Library Analytics Labs
Open call for expressions of interest to join a team working on Library BI
Stories at 0.2 FTE, total estimated effort 15 days
Both Product Owners and Sector Data Experts invited:
Product Owner from the sector to steer which stories are of interest
Sector Experts to understand what data sources are available & what is in the data
JiscContracted Data transformation specialist (CETIS)
Jisc Agile Scrum Master &Tableau User
Teams receive experience and guidance of Agile working
Option forTableau Desktop training to help with creating visualisations
Apply at http://bit.ly/jisc_library_data_labs_applications
Queries to siobhan.burke@jisc.ac.uk or myles.danson@jisc.ac.uk
UKSG Building a national learning analytics service 32
Call for Library LabTeams 20 July – 6 Oct
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