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A key insight for AI-based learning is that it enables adaptivity, with technology's "ability to meet students where they are, build on their strengths, and grow their knowledge and skills." But the caveat is that adaptivity can sometimes be too specific and limited, and important parts of learning can be left out or insufficiently developed. An important goal is to work "toward AI models that fit the fullness of the visions for learning — and avoid limiting learning to what AI can currently model well."

As far back as 2010, the National Education Technology Plan (NETP) set a research and development (R&D) challenge for ed tech developers to “create personalized learning systems that continuously improve as they are used.” Now a new report suggests further R&D goals and makes recommendations for AI ed tech developers, keeping in mind a focus on “context sensitivity” for success in educational goals.

How can AI be developed to help advance teaching? For beginners, it needs to put teachers front and center, according to a new report from the United States Department of Education.

The Pakistan-China Institute (PCI) on Tuesday hosted an extraordinary 9-Nation Conference on Regional Economic connectivity themed on “Belt and Road Cooperation: Promoting People-to-People Bond”.