Transforming learning, teaching and assessment


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Generative artificial intelligence changes education. Tabloids would make students use it to make their assignments and teachers use it to note the papers. It looks like a serious problem where no one learns because no one teaches. But, the landscape is much more nuanced than that, and these new tools could offer us a new teaching and learning model, according to research published in the International newspaper of information and communication technologies.
The dystopian perspective concerns students who use a generative AI to write their tests, create their work and even carry out laboratory simulations. The teachers then feed this outing to another AI to obtain an evaluation. However, the reality is that generative ais can offer highly personalized and reactive learning experiences that pass lateral the unique approach to conventional lessons.
And, provided that the students, and more importantly, are informed of the limits and prejudices inherent in the generative tools of AI, it is possible to reduce the learned administration and allow teachers to engage with their students more directly as well as to open new ways of learning.
Indeed, the generating AI does not simply consist in fueling a mission, it can be used to produce new educational content, such as personalized learning equipment, which can be manually validated by the teacher. These systems can dynamically respond to the progress, interests and understanding of a learner, adapting the next part of his instruction in a large -scale manner on a large scale.
Many language learners experience teaching tools based on conversational agents that adapt to the rhythm of the user and their specific learning style and to any prior knowledge of the learned language. The feedback is immediate, sensitive to the context and targeted.
Research highlights the need for a continuous study on how generative AI can best serve as a tool for the empowerment of education. As technology progresses, finding the right balance between innovation and human -centered education is necessary to ensure that the future of education remains fair, ethical and really transformer.
More information:
Gang Wang and Al, a generative AI review in digital education: processing of learning, teaching and evaluation, International newspaper of information and communication technologies (2025). DOI: 10.1504 / IJICT.2025.146701
Quote: AI Generative in digital education: learning, teaching and evaluation transformation (2025, June 30) recovered on July 1, 2025 from https://phys.org/news/2025-06-generative-ai-digital.html
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