<< Objectives >>Specific Objective 1 is to contribute to the modernisation of teaching, innovation in teaching methods and techniques in HESpecific Objective 2 is to address specific challenges faced by educators in HE settings, such as curricula and course development, and timely assessmentsSpecific Objective 3 is to design of a training suite for educators, leveraging current advancement in machine learning algorithms to design and develop learning content and to assess student performance<< Implementation >>1. Project management and coordination of activities2. Assessing AI generative models for teaching (development > delivery > assessment)3. Developing teaching material and collecting notes to operationalise AI in HE4. Delivery of the content to HE teachers and students5. Evaluation and mainstreaming of lessons learnt and key takeaways for future exploitation and use of results by other stakeholders and targets<< Results >>The BAIT-HEI “AI-TRIX” is the result of the proceedings of WP2. The Matrix will combine the multidimensional use of AI in HE, from Curriculum Development to Teaching and AssessmentWP3 will be the BAIT-HEI teaching suite complete with Learning OutcomesIn WP5 4 we will deliver the training on AI, on how to use the project’s resources WP5 condense the lessons learnt from the project and provides for practical means for the exploitation of results both at policy and practice level