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Apr 24, 2024 · The Department of Education’s recent call for evidence about AI in education demonstrates that many education providers are using AI to augment how they work.
Jul 5, 2021 · In evaluating the state of play of Artificial Intelligence in formative and summative educational assessment, this paper offers a critical perspective on the two core applications: automated essay scoring systems and computerized adaptive tests, along with the Big Data analysis approaches to machine learning that underpin them.
- John Gardner, Michael O'Leary, Li Yuan
- 2021
- Understanding generative AI
- Opportunities for the education sector
- Using AI effectively
- Protecting data, pupils and staff
- Formal assessments
- Knowledge and skills for the future
Generative AI refers to technology that can be used to create new content based on large volumes of data that models have been trained on from a variety of works and other sources. ChatGPT and Google Bard are generative artificial intelligence (AI) tools built on large language models (LLMs).
Tools such as ChatGPT and Google Bard can:
•answer questions
•complete written tasks
•respond to prompts in a human-like way
Other forms of generative AI can produce:
Generative AI tools are good at quickly:
•analysing, structuring, and writing text
•turning prompts into audio, video and images
When used appropriately, generative AI has the potential to:
•reduce workload across the education sector
•free up teachers’ time, allowing them to focus on delivering excellent teaching
Teacher workload is an important issue and we are committed to helping teachers spend less time on non-pupil facing activities.
We are working with the education sector and with experts to identify opportunities to improve education and reduce workload using generative AI.
Having access to generative AI is not a substitute for having knowledge in our long-term memory. To make the most of generative AI, we need to have the knowledge to draw on.
We can only:
•learn how to write good prompts if we can write clearly and understand the domain we are asking about
•sense-check the results if we have a schema against which to compare them
Generative AI:
•stores and learns from the data it is given – any data entered should not be identifiable
•can create believable content, including more credible scam emails requesting payment – people interact with generative AI differently and the content may seem more authoritative and believable
Schools and colleges should:
•protect personal and special category data in accordance with data protection legislation
•not allow or cause intellectual property, including pupils’ work, to be used to train generative AI models, without appropriate consent or exemption to copyright
Schools, colleges, universities and awarding organisations need to continue to take reasonable steps where applicable to prevent malpractice involving the use of generative AI.
The Joint Council for Qualifications has published guidance on AI use in assessments to support teachers and exam centres in protecting the integrity of qualifications. This guidance includes information on:
•what counts as AI misuse
•the requirements for teachers and exam centres to help prevent and detect malpractice
To harness the potential of generative AI, students will benefit from a knowledge-rich curriculum which allows them to become well-informed users of technology and understand its impact on society. Strong foundational knowledge ensures students are developing the right skills to make best use of generative AI.
The education sector needs to:
•prepare students for changing workplaces
•teach students how to use emerging technologies, such as generative AI, safely and appropriately
At different stages of education, this teaching may include:
•the limitations, reliability, and potential bias of generative AI
Dec 6, 2023 · Artificial intelligence (AI) is here to stay – it’s already having a positive impact across society, including in the education sector. We believe it could be used to improve our education...
Jul 1, 2023 · Using detailed information on students past performance, the accuracy of artificial intelligence models in predicting exam grades and differences in accuracy between subjects are investigated. A single selective school was analysed; the result may not be applicable to other institutions.
Oct 4, 2023 · The studies reviewed (n = 22) included nine different types of AI applications: automated assessment, automated feedback, learning analytics, adaptive learning systems, intelligent tutoring systems, multilabel text classification, chatbot, expert systems, and mind wandering detection.
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Sep 11, 2024 · Assessments must be accurate and available and cover enough languages, subjects, and age groups. AI-enabled evaluations in the Global South are at a nascent stage, so new tools need to be tested against human evaluators for accuracy and efficiency.
