An assessment workshop on the six critical areas that need to be addressed in developing online assessment at scale. Led by the Centre for Online and Distance Education with a delegation of VCs and senior leaders from Nigerian Universities, and senior representatives from the National Universities Commission of Nigeria. Held on 24th March 2023.
Technology & Social Inclusion: Enhancing the First Year Experience
• Overview of current technology trends in higher education and their impact on student social inclusion
• Examples of successful technology-based initiatives aimed at improving the first-year experience for students
• Potential challenges and ethical considerations related to the use of technology for social inclusion
• Strategies for integrating technology into existing programs and resources to promote social inclusion
• Future directions for technology-based initiatives in promoting social inclusion in first year experience.
Presented at: ENHANCING STUDENT RETENTION & SUCCESS THROUGH FIRST YEAR EXPERIENCE, ORIENTATION AND SOCIAL INCLUSION: 2023. SkillingSA
Prof Michael Sankey, Director: Charles Darwin University
Sankey, M. 2023. Embracing student innovation in the age of Generative AI (Keynote Presentations). The 2023 WATTLE forum: InspirEd Horizons: Embracing Educational Innovation and Generative AI. University of Wollongong. 25 September.
The truth about data: discovering what learners really wantLearningandTeaching
Learner success is an important element of any private provider’s competitive strategy. We want to be certain that we are meeting our commitments and delivering real value in terms of life-long learning experiences, successful outcomes, meaningful careers and industry partnerships.
Like most high quality dual sector providers, our broad focus is on excellence in learning & teaching. Our analysis of internal and external learner data drives our continuous improvement cycle and we are able to access increasingly sophisticated data sources that tell us almost everything we need to know about our learners – their demographic profile, how they learn, where they are most likely to succeed and fail, and their prospects for employment.
This presentation will reveal what we learned about learner success:
What our learner data revealed and what it didn’t reveal
What learner success initiatives worked and what didn’t work
What we intend to do in the future
In particular, the advantages and disadvantages of relying on data analytics to drive continuous improvement will be examined, including:
The benefits of using the far more accurate data now available from NCVER following the implementation of Total VET Activity reporting
The ability to create increasingly sophisticated profiles of our learners as a basis for customised learning support services that deliver real value to individual learners
The benefits of incorporating qualitative as well as quantitative analysis into our decision-making about how best to support learner success
Presentation of a paper at the ASCILITE Conference, discussing how we need to share the findings of failed research, so we can learn from other's mistakes. The full paper may be found at: https://www.researchgate.net/publication/311108135_Failing_forward_in_research_around_technology_enhanced_learning
An assessment workshop on the six critical areas that need to be addressed in developing online assessment at scale. Led by the Centre for Online and Distance Education with a delegation of VCs and senior leaders from Nigerian Universities, and senior representatives from the National Universities Commission of Nigeria. Held on 24th March 2023.
Technology & Social Inclusion: Enhancing the First Year Experience
• Overview of current technology trends in higher education and their impact on student social inclusion
• Examples of successful technology-based initiatives aimed at improving the first-year experience for students
• Potential challenges and ethical considerations related to the use of technology for social inclusion
• Strategies for integrating technology into existing programs and resources to promote social inclusion
• Future directions for technology-based initiatives in promoting social inclusion in first year experience.
Presented at: ENHANCING STUDENT RETENTION & SUCCESS THROUGH FIRST YEAR EXPERIENCE, ORIENTATION AND SOCIAL INCLUSION: 2023. SkillingSA
Prof Michael Sankey, Director: Charles Darwin University
Sankey, M. 2023. Embracing student innovation in the age of Generative AI (Keynote Presentations). The 2023 WATTLE forum: InspirEd Horizons: Embracing Educational Innovation and Generative AI. University of Wollongong. 25 September.
The truth about data: discovering what learners really wantLearningandTeaching
Learner success is an important element of any private provider’s competitive strategy. We want to be certain that we are meeting our commitments and delivering real value in terms of life-long learning experiences, successful outcomes, meaningful careers and industry partnerships.
Like most high quality dual sector providers, our broad focus is on excellence in learning & teaching. Our analysis of internal and external learner data drives our continuous improvement cycle and we are able to access increasingly sophisticated data sources that tell us almost everything we need to know about our learners – their demographic profile, how they learn, where they are most likely to succeed and fail, and their prospects for employment.
This presentation will reveal what we learned about learner success:
What our learner data revealed and what it didn’t reveal
What learner success initiatives worked and what didn’t work
What we intend to do in the future
In particular, the advantages and disadvantages of relying on data analytics to drive continuous improvement will be examined, including:
The benefits of using the far more accurate data now available from NCVER following the implementation of Total VET Activity reporting
The ability to create increasingly sophisticated profiles of our learners as a basis for customised learning support services that deliver real value to individual learners
The benefits of incorporating qualitative as well as quantitative analysis into our decision-making about how best to support learner success
Presentation of a paper at the ASCILITE Conference, discussing how we need to share the findings of failed research, so we can learn from other's mistakes. The full paper may be found at: https://www.researchgate.net/publication/311108135_Failing_forward_in_research_around_technology_enhanced_learning
Sankey, M. 2023. Reimagining authentic curriculum in the age of AI. Exploring AI in Education: Leveraging AI to transform teaching and learning outcomes. The Sydney Boulevard Hotel. 24-25 November.
E assessment conference scotland 2014 presentation>
As technology evolves and becomes more integrated into education, the data trail created by learners is enormous. The analysis of this data referred to as “Learning analytics” drives learning in a cyclical pattern; data is collected, analysed, and interventions are made based on the data. After these interventions, more data is collected and analysed, and additional (perhaps different) interventions are made.
This presentation outlines how the data related to assessments is collected from three different projects within DCU and then analysed with the aim of improving the student learning experience. Each project has two common threads; making life easier for the lecturer and improving the experience of the student.
Presented at the Anthology – Innovate & Educate Australia – 2023. In this presentation I’ll lay foundation of the role academic integrity plays in relation to Generative AI and what this means for authentic assessment.
It will then provide examples of some contemporary approaches to the use of Generative AI in Assessment, from across the sector and,
in this particular case, we will consider what this might look in the Ultra platform.
I’ll provide a sector perspective as to what 34 of our Australian Uni’s are doing in relation to this. Based on the findings of a very recent sector-wide survey of Directors of TEL, conducted under the auspices of ACODE.
Sdal air education workforce analytics workshop jan. 7 , 2014.pptxkimlyman
The American Institutes for Research (AIR) and Virginia Tech are collaborating to explore and develop new approaches to combining, manipulating and understanding big data. The two are also looking at how big data analytics can help answer questions critical to solving issues in education, workforce, health, and human and social development. They held two workshops on January 7 and 27, 2014- the first on Education and Workforce Analytics and the second on Health and Social Development Analytics.
Are you future ready? Preparing students for living and working in a digital ...Jisc
Many colleges and universities recognise they need to adopt a whole-institution approach to equip students with the skills, confidence and experience they need for the modern workplace.Technology is critical in helping students to develop and communicate these skills, but are universities and colleges making best use of it?
In this session we will explore what employers are really looking for; and how a university and college are using innovative approaches to best preparing their students to meet those needs.
[DSC Europe 22] Machine learning algorithms as tools for student success pred...DataScienceConferenc1
The goal of higher education institutions is to provide quality education to students. Predicting academic success and early intervention to help at-risk students is an important task for this purpose. This talk explores the possibilities of applying machine learning in developing predictive models of academic performance. What factors lead to success at university? Are there differences between students of different generations? Answers are given by applying machine learning algorithms to a data set of 400 students of three generations of IT studies. The results show differences between students with regard to student responsibility and regularity of class attendance and great potential of applying machine learning in developing predictive models.
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
This talk gives an introduction to the Center for Advancing Education and Research on Critical Infrastructure Resilience (CAESCIR), a new project at the Florida International University (FIU), sponsored by the Department of Homeland Security (DHS).
Ways to ensure “buy in” from the academics in the transition to digitised ass...Marieke Guy
Ways to ensure “buy in” from the academics in the transition to digitised assessments
Marieke Guy (Head of Digital Assessment) & Claudia Cox (Digital Assessment Advisor)
Uniwise partner meeting
2nd November 2023
Sankey, M. 2023. Reimagining authentic curriculum in the age of AI. Exploring AI in Education: Leveraging AI to transform teaching and learning outcomes. The Sydney Boulevard Hotel. 24-25 November.
E assessment conference scotland 2014 presentation>
As technology evolves and becomes more integrated into education, the data trail created by learners is enormous. The analysis of this data referred to as “Learning analytics” drives learning in a cyclical pattern; data is collected, analysed, and interventions are made based on the data. After these interventions, more data is collected and analysed, and additional (perhaps different) interventions are made.
This presentation outlines how the data related to assessments is collected from three different projects within DCU and then analysed with the aim of improving the student learning experience. Each project has two common threads; making life easier for the lecturer and improving the experience of the student.
Presented at the Anthology – Innovate & Educate Australia – 2023. In this presentation I’ll lay foundation of the role academic integrity plays in relation to Generative AI and what this means for authentic assessment.
It will then provide examples of some contemporary approaches to the use of Generative AI in Assessment, from across the sector and,
in this particular case, we will consider what this might look in the Ultra platform.
I’ll provide a sector perspective as to what 34 of our Australian Uni’s are doing in relation to this. Based on the findings of a very recent sector-wide survey of Directors of TEL, conducted under the auspices of ACODE.
Sdal air education workforce analytics workshop jan. 7 , 2014.pptxkimlyman
The American Institutes for Research (AIR) and Virginia Tech are collaborating to explore and develop new approaches to combining, manipulating and understanding big data. The two are also looking at how big data analytics can help answer questions critical to solving issues in education, workforce, health, and human and social development. They held two workshops on January 7 and 27, 2014- the first on Education and Workforce Analytics and the second on Health and Social Development Analytics.
Are you future ready? Preparing students for living and working in a digital ...Jisc
Many colleges and universities recognise they need to adopt a whole-institution approach to equip students with the skills, confidence and experience they need for the modern workplace.Technology is critical in helping students to develop and communicate these skills, but are universities and colleges making best use of it?
In this session we will explore what employers are really looking for; and how a university and college are using innovative approaches to best preparing their students to meet those needs.
[DSC Europe 22] Machine learning algorithms as tools for student success pred...DataScienceConferenc1
The goal of higher education institutions is to provide quality education to students. Predicting academic success and early intervention to help at-risk students is an important task for this purpose. This talk explores the possibilities of applying machine learning in developing predictive models of academic performance. What factors lead to success at university? Are there differences between students of different generations? Answers are given by applying machine learning algorithms to a data set of 400 students of three generations of IT studies. The results show differences between students with regard to student responsibility and regularity of class attendance and great potential of applying machine learning in developing predictive models.
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
This talk gives an introduction to the Center for Advancing Education and Research on Critical Infrastructure Resilience (CAESCIR), a new project at the Florida International University (FIU), sponsored by the Department of Homeland Security (DHS).
Ways to ensure “buy in” from the academics in the transition to digitised ass...Marieke Guy
Ways to ensure “buy in” from the academics in the transition to digitised assessments
Marieke Guy (Head of Digital Assessment) & Claudia Cox (Digital Assessment Advisor)
Uniwise partner meeting
2nd November 2023
The blandness is its formulaic style’: insights to help understand the impact...Marieke Guy
The blandness is its formulaic style’: insights to help understand the impact of AI on assessments
ChangeMakers AI Lunch & Learn sessions
Wednesday 1st November, 1-2pm
Redesigning assessments for a world with artificial intelligenceMarieke Guy
Redesigning assessments for a world with artificial intelligence presentation By Marieke Guy, Head of Digital Assessment, UCL
QAA Annual Conference, The Future of Quality: What’s Next?
Wednesday 13 September 2023
MCQs_ The joys of making your mind up.pdfMarieke Guy
Explore the benefits and challenges of using MCQs in both formative and summative assessment, and get practical guidance on designing good MCQs in AssessmentUCL.
4 March, 10.30am-11.30am. Online event.
Multiple choice questions have often had a bad rap in education, sometimes seen as assessing only lower level skills such as factual recall. However, with good question design this assessment approach can allow for testing of more complex cognitive processes. Add in the increasing sophistication of options offered by digital assessment platforms, which allow automatic grading and statistical analysis, and you can begin to significantly streamline your marking processes.
This workshop will explore the benefits and challenges of using MCQs in both formative and summative assessment and provide practical guidance on:
Constructing good MCQs
The range of MCQs available on digital platforms, focussing on AssessmentUCL.
There will be time for discussion and questions.
After attending this session, you will be able to:
Create worthwhile MCQs that test a range of learning outcomes.
Understand the range of MCQs available on digital platforms and how they can be used, focussing on AssessmentUCL.
Who should attend this session
All those engaged in teaching, assessment and the support of learning (academics, administrators, professional service colleagues).
Rubrics_ removing the glitch in the assessment matrix (1).pdfMarieke Guy
Rubrics bring together criteria, grades and feedback into a single scoring matrix. This session will explore how to design a good rubric and the benefits and potential challenges of using rubrics in assessments.
Would you like to increase reliability and consistency in marking, ensure alignment with intended learning outcomes and provide an efficient feedback mechanism for students? If so, this session on rubrics is for you.
Rubrics are a useful way of bringing together criteria, grades and feedback into a single scoring matrix to help streamline marking, provide transparency and support learners to understand how their performance will be judged.
This workshop will focus on the benefits and potential challenges of using rubrics in assessment within your subject area and provide practical guidance on:
How to design a good rubric
Creating and marking with rubrics in Assessment UCL
There will be opportunities for discussion and questions.
After attending this session, you will be able to:
Understand the benefits and potential challenges of using rubrics in assessment
Design an appropriate rubric for your assessments
Understand how to create and mark with rubrics in Assessment UCL
Who should attend this session
All those engaged in teaching, assessment and the support of learning (academics, administrators, professional service colleagues).
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
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!
1. BETT, FRIDAY 31ST MARCH 2023
Assessment in the time of
change
Marieke Guy, Head of Digital Assessment
m.guy@ucl.ac.uk
2. University College London
• Disruptive thinking has been the status quo
since 1826
• Russell Group institution, 8th in the world
• 11 faculties, 60+ departments
• 43,800 students, 14,300 employees, 440
undergraduate programmes, 675
postgraduate programmes
• 53% international students, 150+ nationalities
3.
4. An assessment pre-mortem
It is 2035 and despite the take-up of digital
assessment, many universities have retained
traditional exams. Course work assignments are
seen as unreliable due to the dominance of
contract cheating. Academics are over worked
with all the marking and feedback. Employers
are not satisfied with students’ employability
skills. What went wrong? What challenges and
drivers got us here?
Jisc pre-mortem exercise
5. What is the purpose of assessment in HE?
• “Measuring the extent of student learning” AdvanceHE
• Assessment for learning (AFL) “a way to ‘close the gap’ between a learner’s
current situation and where they want to be in their learning and achievement”
Cambridge Assessment
• Assessment for social justice – Jan MacArthur
• Assessment determines if a student has achieved their course’s learning
outcomes and allows the awarding body to ensure that appropriate standards are
being applied rigorously - QAA
6. Curveball 1: Covid
• Pre-covid predominantly in-person assessments in the ExCeL
• Procurement of an assessment platform
• First year 1071 exams and assessments successfully delivered remotely to 48,742
candidates (16,901 students)
• Integrations with SITS including students with adjustment, flows created by script
• New dedicated digital assessment team
• Extensive training programme
• Faculty engagement and landscape reports
8. Post Covid thinking
“We must not, ever, go back to old ways of doing things...
We propose moving strongly away from traditional exams’ inflexibility
towards more authentic... life-relevant tasks that foster self-regulation,
present high order cognitive challenges rather than measuring low
order thinking skills in a decontextualised way and place as much
emphasis on process as on outcome.”
Sally Brown and Kay Semble
9. Antifragile
“Some things benefit from shocks; they thrive and grow
when exposed to volatility, randomness, disorder, and
stressors and love adventure, risk, and uncertainty.
Yet, in spite of the ubiquity of the phenomenon, there is
no word for the exact opposite of fragile. Let us call it
antifragile.
Antifragility is beyond resilience or robustness. The
resilient resists shocks and stays the same; the antifragile
gets better".
10. Are digital assessments bad?
• Digital equity
• Technology fails
• Technology is limited
• Personal preference
• Academic misconduct
At school. From the series "Visions of the Year 2000"
11. Curveball 2: Academic Integrity
• Symptom of lift and shift approaches
• 1 in 6 university students?
Approaches:
• Assessment design
• Assessment support
• Technical approaches - lockdown
• Better understanding of academic
misconduct - focus groups Phill Dawson’s tier list
12. Curveball 3: Artificial Intelligence
• Challenges and opportunities of AI
• The detection arms race
• Implications for regulations
• Death of the essay
• Institutional scoping group
• Workshops and support for staff and students
• Wider institutional connections and Jisc
14. Curveball 4: Workload and large cohorts
• Large cohorts
• Staff workload and fatigue
• Our strikes and their strikes
• Poor feedback
• Lack of clarity and NSS scores
• Possibilities for automation and AI
feedback e.g. Graide
15. Curveball 5: Appropriate assessments
• Authentic assessments
• Assessments for social justice
• Freedom to learn movement – ungrading
• Optionality and personalised assessments
• Peer assessment
• Integrated assessments – programme level
assessment
• Vivas, portfolios
• Student partnerships and co-creation
17. Where does this leave us?
• We need to remind ourselves what are we trying to achieve
• We need to talk about assessment (within our institution and across the sector)
• We need to resource assessment and put the work in
• No one size fits all and there is no easy solution
• We need to involve students in this conversation
• We need to be brave and aspirational
Blog: https://reflect.ucl.ac.uk/digital-assessment/
18. Adjacent possible
“The adjacent possible is a kind of shadow future,
hovering on the edges of the present state of things, a
map of all the ways in which the present can reinvent
itself.”
Steven Johnson
Editor's Notes
11 faculties: Arts & Humanities, Brain Science, Built Environment, Engineering, Laws, Life Sciences, MAPS, Medical Sciences, Population Health sciences, Social and Historical Sciences, IOE
Jeremy Bentham - English philosopher, jurist, and social reformer regarded as the founder of modern utilitarianism - “Create all the happiness you are able to create; remove all the misery you are able to remove. Every day will allow you, --will invite you to add something to the pleasure of others, --or to diminish something of their pains.”
— 1st in England to welcome students of any religion or social background. — 1st in England to welcome women to university education. — 1st in England to teach English, German, Chemistry, Engineering. — A brave and progressive approach that has continued to this day. — 1st in England to have a fully open access university press.
Digital equity
Not everyone is in the same place when it comes to digital. Some people have much better digital skills, own better devices and have a more stable infrastructure (wifi, space in which to work etc.) This applies to both staff and students.
Technology fails
As we all know working technology is not a certainty. Hardware, software and networks all fail at some point.
Technology is limited
A technological solution isn’t always available for existing practices. For example maths requires students to handwrite formula and Optical Character Recognition (OCR) software is limited. Current marking processes for offline assessments may not be easy to replicate in existing platforms that lack maturity.
Some prefer offline
Using technology can be exhausting for some, especially when carrying out time-consuming activities like marking. There may be health and accessibility reasons for avoiding too much time online.
Academic misconduct
Being online offers access to digital resources and if the assessment is taking place remotely it is easy to communicate during the assessment with other students. This can result in a high number of academic misconduct cases. Tools like AI and services like essay mills compound the issue.
research from the Schlesinger Group
Originally a concept from the biologist Stuart A. Kauffman
Also liquid networks, slow hunch, serendipity, error, exaptation, platforms