Transforming higher education using GPT - Making higher education affordable, personalised, inclusive, and reflective

Transforming higher education using GPT - Making higher education affordable, personalised, inclusive, and reflective

I am happy to share this. Its work we are doing at the?#universityofoxford?and also at?#salooki. Thanks to?Microsoft?#education?for sharing this. Keen to see if other educators are working on similar


To summarise:

Not many people object to putting creativity at the center of learning. However, like the Tutorial system, evaluating and scaling such creativity is an entirely different matter altogether.??

I describe below a mechanism for developing and scaling the Inverse Bloom’s taxonomy. We are exploring these ideas and comments are welcome especially from other educators.?

To summarise the approach

1) Bloom’s taxonomy, while originally designed for organising learning objectives, could be easily adapted for problem solving

2) The artefact developed by the student for solving a problem could be in the format of a research paper

3) It is possible to map the sections of a research paper to the Bloom’s taxonomy

4) It is possible to create sections of a research paper using GPT via?prompt templates,

5) By working collaboratively in a team via prompts, but with an overall awareness of the whole process, such a paper could be produced with the inverse Bloom approach . By this, we mean, you do not?strictly consider the learning sections in a hierarchy, but rather you start wherever you like based on the prompts but you keep the overall structure in mind.

6) The paper and the prompts become the submission - which can also be evaluated

?

Hence the steps for working are

1) You explain the whole process above i.e. build in the idea of awareness and metacognition - so at each step - they see where they (or their group) are at

2) Define the tools (essentially the prompts - you may need to create more)

Understand the output -?i.e. the format of a research paper?alongwith?the prompts

3) Map and develop elements of your problem like you are developing a research paper through the use of prompts

4) Map and develop elements of your learning objectives through?through (Inverse) Bloom’s taxonomy through the use of prompts

5) Develop the overall paper

6) Always be aware where you are (hence the inverse bloom/ metacognition) are the key?

more details here?

https://lnkd.in/e79Jaq9s

If you want to study with us at the #universityofoxford please see our?AI courses at the University of Oxford

If you are an educator working on similar ideas, happy to discuss more.

#educators?#team?#learning

with?Pinckney Benedict?Ay?e Mutlu?Anjali Jain?Marina Fernandez?Lee Stott?Christoffer Noring?Aditya Jaokar

Views expressed here are personal and are not related to any organisation or company I am associated with.

kotrappa sirbi

Professor at KLE Technological University DrMSS CET Belagavi

1 年

Very nice sir i want to know more abt this pls dr.s.[email protected]

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Rohan J. Dani

Senior Machine Learning Engineer at Capital One

1 年

Personalization is achievable!?

Rodney Beard

International vagabond and vagrant at sprachspiegel.com, Economist and translator - Fisheries Economics Advisor

1 年

I'm not sure I agree with mapping the sections of a research paper to Bloom's taxonomy, the structure of research papers is basically the classical parts of speech or arrangement of a speech derived from classical rhetoric, these look nothing at all like Bloom's taxonomy. My concern is you will just end up with a mess if you do this. I guess one won't actually know unless one tries though. I think a better model would be to keep the classical arrangement and combine it with Bloom's taxonomy into a matrix. So that each part of the paper can be evaluated against Bloom but you maintain a roughly classical rhetorical structure to the paper.

Pinckney Benedict

Professor in the Surgery Department at Southern Illinois University School of Medicine, Springfield, IL, and Chief Architect of the School's AI/XR Simulation Facility

1 年

I love the inverse Bloom's taxonomy. It's actually been my mode of teaching for my whole career, but I didn't have a name for it until you described it! Your vision of an educational system lifted by the power of AI is inspirational, and your inclusion of creativity at the heart of what you do (too often overlooked by folks in the hard sciences, except at the very top) fills me with hope.

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