More one-on-one time between teachers and students, real-time translations as lecturers speak and the ability to predict students’ needs are some of the ways artificial intelligence can personalise higher education, digital learning experts have said.
However, a lack of synchronised data to train machine learning systems and low levels of digital literacy were seen as holding the sector back.
Using chatbots, employing Outlook to schedule study times or getting Grammerly to help structure an essay are all part of the “first wave” of AI in higher education, Elizabeth Ellis, head of the School of Digital Teaching at Arden University, told Times Higher Education’s Digital Universities UK event.
Making the leap to the “second, third, fourth or fifth wave” will move universities from personal learning environments that are mostly used for skills development and learn-as-you-go courses to “genuine personalisation”, she added.
