How can AI tools be designed and deployed to bridge educational gaps rather than widen them, ensuring all students, regardless of socioeconomic background, have access to high-quality education?
n education, AI offers benefits such as personalized learning, effective feedback and operational efficiency. However, it also poses risks, such as misinformation and loss of critical thinking skills.
I do not think there is any way to justify the use of LLMs in education. These 2 articles should, I hope, demonstrate why. The problems they raise not only lack current solutions, the CEO of Google claims they are intrinsic to LLMs and cannot be solved - but he want use to use LLM AI anyhow, which is bizarre.
I can see no reason whatsoever to introduce these technologies into classrooms or homework. If anything, education should be geared to living without LLMs, so students can avoid these tragic, and apparently insurmountable, flaws. Since education exists to fact-check and solve problems, education therefore exists to overcome and avoid AI in its current LLM forms.
If the flaws are solved, then and only then, should we re-open the question of using AI in classrooms.
"OpenAI is releasing AI tools specifically for higher education this summer, aimed at tasks such as personalised tutoring and writing grant applications. ChatGPT Edu will include access to the company’s latest large language model, GPT-4o, and intends to be “affordable for educational institutions”. Open AI said that ChatGPT Edu conversations won’t be used as training data. “I don’t know enough about [ChatGPT Edu] yet to say whether it will be [safer],” says pedagogy researcher Inara Scott. “It sounds like that’s the intention of it, which is great and something we would look into further.”..."
Article Generative AI, Synthetic Contents, Open Educational Resource...
"This paper critically examines the transformation of the educational landscape through the integration of generative AI with Open Educational Resources (OER) and Open Educational Practices (OEP)...
By examining generative AI's integration with OER and OEP, this paper encourages further research and discussion to harness AI's power while addressing potential concerns, thereby contributing to the dialogue on responsible and effective use of generative AI in education..."
AI: Likely the gravest long-term threat to HE aggregators
"Artificial intelligence (AI) now permeates every facet of modern life, with its impact on education poised to be profound and enduring. The response from educational institutions – whether they advocate its integration, resist it or remain indifferent – is unfolding in real-time. Yet, amidst this dynamic landscape, few are considering the global recruitment prospects and the subsequent winners and losers that will emerge.
For example, ChatGPT renders the conventional confines of aggregator selection categories archaic and confining, akin to the pre-streaming TV, pre-mobile phone and pre-internet era. It promises to overhaul the process of student exploration and selection for universities by offering lightning-fast, highly personalised searches.
Crucially, AI is able to eradicate the frustrating bias of existing platforms, which often prioritise universities based on financial arrangements rather than merit.
For astute universities, these changes present an opportunity to spotlight their unique strengths, armed with comprehensive insights into pricing, academic excellence and post-graduation prospects. The emphasis will shift from relying on rankings as a proxy for quality to genuinely addressing student expectations..."
Unlocking the power of AI to deliver next generation learning
"To tackle this challenge, Politecnico di Milano in Milan (Polytechnic University of Milan), Italy, is designing and developing MyLearningTalk (MLT), an AI-based virtual assistant that facilitates learning by providing personalised student support. MLT does not replace teachers. Rather, it empowers students to understand and process content in a personalised way on the basis of their abilities, allowing them to explore content dialogically, receive appropriate examples, and obtain tailored feedback on the tests taken. More specifically, in the methodology we are refining, the teacher personalises the course content for MLT use. This means the teacher is still the central figure in the classroom, giving lectures and helping learners carry out didactic activities..."