How artificial intelligence can help achieve the promise of personalized learning (opinion) Inside Higher Ed

From introductory gen-ed classes to advanced graduate seminars, wherever classes online or on campus include more than a couple of students, we have struggled with finding ways to assure that all students are given personalized attention to meet their learning needs. This has led to differentiated learning models in which students are presented materials based on assessments conducted prior to the class. But that approach too often fails to adapt to progress during the semester and misses opportunities for exchanges and synergies among all learners. It is also most practical only when there are enough classes to support multiple sections at the differentiated levels or multiple groups within a single class. As expert systems and AI technologies have developed, the promise of personalized learning is now being tested.