Content-type: text/html ~ Stephen's Web ~ A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

Stephen Downes

Knowledge, Learning, Community

This is a tertiary review - that is, a review of systematic reviews - of studies of the use of AI in education, referencing Zawicki-Richter's typology (which of course is far too limited and doesn't include the many uses of generative AI; I of course am biased in favour of my own typology). Some obvious findings: "AI systems are adaptable and allow learning materials to be tailored to individual needs, thereby enhancing student autonomy, and enabling early interventions for disengaged students... Other significant benefits include the positive influence on learning outcomes, reduced administrative time for educators, and greater insight into student understanding." Notably, the paper calls for increased rigour in these systematic reviews. "A noticeable 65% of reviews are critically low to medium quality... The most concerning findings were that 31.8% of studies only searched in one or two databases."

Today: 0 Total: 1467 [Direct link] [Share]

Stephen Downes Stephen Downes, Casselman, Canada

Copyright 2024
Last Updated: May 20, 2024 03:29 a.m.

Canadian Flag Creative Commons License.