RMIT's Artificial Intelligence Assurance of Learning Typology Extended Guide

<p dir="ltr">RMIT's Artificial Intelligence Assurance of Learning Typology Extended Guide builds upon RMIT's Artificial Intelligence Assurance of Learning Typology. The extension resource provides educators with questions that act as important reflective considerations to aid educator decision-making when designing learning for generative artificial intelligence.</p><p dir="ltr">The typology is a quick guide of the seven key themes required, including their associated factors and decisions, when designing curriculum and teaching activities. It is structured according to principles of constructive alignment as a logical sequence that enables decision-making as an educator to maintain academic quality.</p><p dir="ltr">The typology considers artificial intelligence in a cooperative learning paradigm, where educators view artificial intelligence and students as collectively working together to achieve outcomes for appropriate use cases. Considering student collaboration with technology as similar to other collaborative work, such as group work, can be helpful. Group assessment work, which assesses both the process and the product, reflects collaborative work in relevant industries or professions.</p><p dir="ltr">This is a public version of this resource with internal links removed. RMIT educators should access this resource with hyperlinks included, via the Educator Resource Hub SharePoint at <a href="https://rmiteduau.sharepoint.com/sites/EQ" rel="noreferrer" target="_blank">https://rmiteduau.sharepoint.com/sites/EQ</a></p>