Top UK Academics, Leaders, Discuss the Future of Education Alongside Launch of KEATH.ai
Expert Panel at The AI Advancement Forum: Revolutionising Education at the House of Lords
On December 15th at London's House of Lords, the AI Advancement Forum commenced with the University of Surrey Vice President (Global) Patrick Degg proclaiming, 'AI can, and inescapably will, change the educational landscape.' This set the stage for a day where global educational leaders explored the synergy between education and AI, culminating in the unveiling of KEATH.ai, a groundbreaking EdTech tool; where its CEO, Joey Lin, proclaimed, "Last December, students got ChatGPT; this December, teachers get KEATH.ai". Lin also likened generative AI's impact on education to the shift from horses to cars, with multiple universities piloting their technology and driving further data collection.
"This (2023) is the year of AI", added Surrey's President and Vice-Chancellor Professor Max Lu. "How are we going to push ourselves to measure assessment and learning at a higher level?" Alluding to KEATH.ai's launch, he asked the audience of global educational organisations. The forum featured panels of esteemed speakers from academia, and both the private and public sector, as well as prominent attendees representing multiple universities, from Oxford University to Columbia University; and embassy officials spanning several continents, from Africa, the Middle East, and Europe.
Wowing a captivated audience, KEATH CEO Joey Lin, formally introduced KEATH.ai as a groundbreaking AI tool in educational assessment evaluation software. After years of research and development, KEATH.ai's software guarantees consistent and precise student feedback, unilaterally saving teachers' time. Its proprietary technology ensures a high degree of accuracy of approximately 95%, which can be achieved when compared to human markers. Surrey's Associate Vice President and KEATH's Managing Director, Professor Yu Xiong, elaborated that KEATH's technology "will not replace humans, but act as a copilot, a digital assistant".
CEO of KEATH, Joey Lin
BBC's Executive Product Manager, Jon Howard, hypothesised what the future of education may look like "adaptive technologies, adapting the content to things that you like...with auto(matic)-grading is a big part of that". KEATH.ai's innovation received positive feedback from attending experts, including renowned UK education advisor, Dr. Trevor Lee, who remarked on its exceptional ease of use. "Teachers face immense personal pressure caused by marking overload, much of which amounts to many, many unpaid hours for work conducted in evenings and weekends. I estimate that 500 hours per year can realistically save many teachers' time, by the judicious use of KEATH.ai, without compromising any quality", said Lee.
Pictured: Dr. Trevor Lee
The Lord Taylor of Warwick spoke positively about the new era of AI; and about bridging the gap between the " have nots" and "have yachts", and also mentioned Elon Musk's AI alarmism, cautiously preferring to adopt a ‘glass half full' ideology. Lord Taylor emphasised the importance of ensuring that AI's power is democratised, saying, "This is imperative for the education sector, which has arguably been affected by social factors since its inception."
Baroness Manzila Uddin stated, "Leadership is really important and very salient when we define what AI is going to deliver us." She highlighted that AI will help address the importance of training and skilled professionals amongst all communities, which include a generation of talent in inner city areas hitherto not accessing this new area of opportunity within the field of the emerging technology economy.
De Montfort University's Vice-Chancellor, Katie Normington stated AI must be embraced to go forward, but change is inevitable in this sector and assessment must adapt in a reflective tandem. Michael Luck, Deputy Vice-Chancellor of the University of Sussex, discussed the fear and excitement surrounding AI, with recent advancements in deep learning allowing for significant progress. He also reinforced the need for responsible governance.
Professor Chris Imafidon said "AI opens a new era of feedback to learners and scholars. The speed of KEATH's marking essay-based exercise is incredible because 5,000 words are evaluated in minutes, with detailed individualised comments. It means that lecturers can set diagnostic, formulative and related work without the fear of spending endless weeks marking them manually".
UNESCO's Mark West remarked, "We (UNESCO) have been adamant that the only way that we are going to get the sort of educational transition in an AI world is by bringing different voices together. And that's what I have really witnessed today"."
As the AI Advancement Forum concluded, the spotlight was firmly on KEATH.ai, recognised for its potential to revolutionise the educational landscape.
Also a special thanks to speakers and panellists: Kevin Ebenezer, Chris Trace, Steve Connolly, Will Lovegrove, Lisa Nelson, Lisa Collins, and Professor Chris Imafidon
Vice Chancellor of Surrey Max Lu and De Montfort University's Vice-Chancellor, Katie Normington with Uni Lome Representative Mr Agnama and Professor Imafidon
Interested institutions may visit www.keath.ai for more information and arrange a demo.
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Photo by Unseen Studio on Unsplash
The Extended Project Qualification (EPQ) is a challenging but rewarding qualification that can help students develop their research, writing, and critical thinking skills. However, grading EPQ assignments can be a time-consuming and challenging task for educators.
KEATH.ai is an AI-powered grading platform that can help to revolutionize EPQ assessment. KEATH.ai can markEPQ assignments quickly and accurately, freeing educators to focus on other important tasks, or pay closer attention to their EPQ evaluation, but quicker.
KEATH.ai has proven its accuracy in grading EPQ assignments, with a 100% success rate on over 2500 graded assignments. This is a remarkable achievement, as EPQ assignments are notoriously difficult to grade due to their complexity. KEATH.ai's success has been validated by Pearson Edexcel, and its platform is now being used by students who have been admitted to prestigious institutions like Cambridge, Oxford, and Ivy League schools.
How KEATH.ai works
KEATH.ai uses a variety of machine-learning algorithms to grade EPQ assignments. These algorithms are trained on a massive dataset of graded EPQ assignments, which allows them to learn the patterns and characteristics of high-quality work.
When KEATH.ai grades an EPQ assignment, it first analyzes the assignment to identify its key features, such as its structure, content, and arguments. KEATH.ai then compares these features to the assessment criteria for the EPQ, and it assigns a grade based on how well the assignment meets the criteria.
There are a number of benefits to using KEATH.ai for EPQ grading:
The Pearson Extended Project Qualification (EPQ) is a challenging essay to grade/evaluate for a number of reasons.
It is a self-directed project. Students are free to choose their own topic and research methodology, which means that there is a wide range of possible outcomes. This can make it difficult for graders to assess all projects on a level playing field.
It is a significant piece of work. The EPQ requires students to complete 120 guided learning hours, which is equivalent to half an A level. This means that graders need to invest a lot of time into reading and evaluating each project.
It is assessed across a range of criteria. The EPQ is assessed on four criteria:
This range of criteria can make it difficult for graders to strike a balance between assessing the different aspects of the project.
*It is graded on a scale of A to E.** This means that graders need to be very discriminating in order to distinguish between high-quality projects.
Specific challenges that graders may face
In addition to the general challenges listed above, there are a number of specific challenges that graders may face when evaluating an EPQ:
How long does it take to grade an EPQ?
The amount of time it takes an evaluator to mark a student's EPQ can vary depending on a number of factors, including:
In general, evaluators aim to mark EPQs within 2–3 weeks of receiving them. However, this may take longer during busy periods, such as the end of the academic year.
The information about the average time it takes to grade an EPQ is based on a number of sources, including:
According to the Pearson EPQ website, the assessment process for the EPQ is "rigorous and demanding". Evaluators are required to read and evaluate each project in detail, and they must provide feedback to students on their work.
The ATL website states that the EPQ is a "significant piece of work" and that it can take students up to 120 hours to complete. The website also states that evaluators are required to "make a detailed assessment of the project" and that they must "provide feedback to students on their work".
The University of Cambridge survey found that the average time it takes an evaluator to grade an EPQ is 3–4 hours. The survey also found that evaluators spend more time grading longer and more complex projects.
The information about the average time it takes to grade an EPQ is based on a number of reliable sources.
`,3:`A quick summary of, and how KEATH.ai aligns with, Russell Group's objectives
Photo by Chris Boland on Unsplash
KEATH is committed to supporting the Russell Group's vision for the use of AI in education. KEATH believes that AI can be a powerful tool for improving teaching and learning, and KEATH is committed to using AI in a responsible and ethical way to support students and staff in achieving their educational goals.
The Russell Group is a consortium of 24 leading research universities in the United Kingdom. The statement was published on July 12, 2023, and it outlines five key principles that the Russell Group universities believe should guide the use of AI in education:
The Russell Group universities believe that these principles are essential for ensuring that AI is used in a responsible and ethical way to support teaching and learning.
The statement also includes a number of specific recommendations for universities, such as:
KEATH is an AI-powered assessment platform that aligns with the principles set out in the Russell Group's joint statement. We support students and staff to become AI literate, and it helps them to leverage the opportunities provided by AI in teaching and learning.
Here are some specific examples of how KEATH aligns with the Russell Group's principles:
KEATH believes that AI has the potential to transform education for the better. KEATH is committed to using AI in a responsible and ethical way to support students and staff in achieving their educational goals.
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