Pearson rolls out AI across education projects

Education publisher Pearson has announced plans for a range of AI enhancements across its products.

Sharing that it has several AI-related projects “well underway”, Pearson said it has adopted a strategy that will see it embed AI-related technologies across key products in its portfolio in a manner that will “enhance the teaching and learning experience”.

Generative AI capabilities are currently being embedded in products including Pearson’s Workforce Skills, which will deploy large language models to develop proprietary predictive algorithms that determine trends for in-demand skills and occupations globally.

Pearson also shared that for its Mastering, MyLab, and Fall Back-to-School products, student features are under development that use the publisher’s proprietary content to answer questions and guide users through subject areas they are having the most difficulty with.

Pearson chief executive Andy Bird said that generative AI will create significant positive opportunities for the company as it continues to develop.

“Learners and educators place enormous trust in us, so we have a responsibility to be thoughtful and considered in how we use this technology, whilst continuing to move at pace to enhance our products,” he said.

As first reported by the Evening Standard, Pearson has recently issued a cease-and-desist letter to an unnamed party for using its intellectual property to train large language models.

“We take great efforts, and will continue to do, to protect our IP,” Bird told the newspaper.

    Share Story:

Recent Stories


Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.

Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.