We begin by looking at the applications of artificial intelligence and analytics in learning technology, describing in a structured way what decisions we actually make when we apply artificial intelligence, analytics, and neural networks to teaching and learning. We also survey the ethical issues that have arisen in the field, for example, bias in algorithms, justice and fairness, diversity and equity, bad actors and data manipulation, and a range of other concerns.
Some additional (big) resources:
Online Educa Berlin 2022, Berlin, Germany (Workshop) Nov 23, 2022 [Link] [Slides]