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PI-AI:Pedagogical Implications of Artificial Intelligence in Higher Education

Updated 2024-03-25

This project was submitted in March 2024.

A. Project Name

PI-AI:Pedagogical Implications of Artificial Intelligence in Higher Education

B. Submitted to the call/funding institution

Erasmus +, K2020

C. Principal Investigator

Elsa Estrela (CeID, COFAC)

D. Timeline

05/03/2024 (submitted)

E. Partners

UNIVERSIDAD INTERNACIONAL DE LA RIOJA SA, Spain
NLA, Norway
LINIVERZITA PALACKEHO V OLOMOUCI, Czechia
NOODLE FACTORY, Singapore

F. From CIDEFES

António Palmeira

G. Summary

Objectives: What do you want to achieve by implementing the project?
Building on the expertise of the consortium partners as early adopters and creators of AI tools in HEIs, this project aims to achieve the following objectives:
1) Enhance teachers' competence, motivation, and opportunity to successfully incorporate AI tools into their teaching methods - this will be achieved through the development of a comprehensive training course;
2) Ensure effective transfer and dissemination of the acquired knowledge.

Implementation: What activities are you going to implement?
1 - Access AI proficiency in four HEIs, to inform the training course development and implementation
2 - Design, develop, and implement an AI proficiency course for 100 HE teachers in 4 countries
3 - Pilot test the use of the course’s AI tools in a sub-sample of 20 teachers and their students for a semester
4 - Create a Transferability Toolkit and disseminate the results: an open-access toolkit will be created, including the Walter+ training course and an AI teaching in HE Handbook

Results: What project results and other outcomes do you expect your project to have?
1- State of the Art Analysis Report: reflects the situation of AI usage in European HEIs, the teacher’s level of AI digital skills, and the training needs for this target.
2- Educators Training Course on AI in Education: based on the report, a training course will be designed and imparted to 100 teachers, and a pilot test will be organized, benefitting 400 students.
3- Open AI Toolkit for educators: conformed by a comprehensive handbook, the compressed training course, and the Walter+ tool