| Description |
Are you ready to explore how Artificial Intelligence can transform the way you learn and teach?
Participants in this blended course will learn several ways to integrate the use of AI tools by students within their own disciplinary context and undergraduate courses. They will also learn how to use AI tools to support teachers in instructional design, generating teaching materials, tutoring students, and improving the delivery of their own courses.
Before the workshop, participants will access an online environment on the Open UAH platform, featuring videos, instructional resources, and exercises, along with a structured roadmap for learning how to use generative AI tools in university teaching.
During May, at least two preparatory webinars will introduce key topics and engage participants in exercises.
The in-person workshop begins with an introduction to the topics and dynamics, followed by disciplinary group work in which participants share experiences and design AI-integrated learning activities. Professor Fernando Remião will facilitate discussions and help synthesize conclusions. The workshop will conclude with a summary of key insights and outcomes.
Teachers from the Biological Sciences Department of the Faculty of Pharmacy and from the Faculty of Psychology at the University of Porto will participate in teaching (CIIE).
Ready to rethink education with AI? Join us and put it into practice! |
| Content and Methodology |
Content:
- What AI instruction and training will students need to prepare for their professional careers?
Understanding the six facets of AI literacy: basic, functional, critical, ethical, transformative, and discipline-specific.
Designing student-centred learning environments to integrate inquiry-based activities using free AI tools.
Exploring the frontier of AI capabilities in different disciplinary contexts.
- Ensuring critical thinking and fact-checking of materials produced by Generative AI.
Classifying student learning activities according to the level of AI use allowed and the student’s role in each task.
Using AI tools as teaching consultants, assistant teachers, co-creators of instructional materials, student tutors, and assessment assistants.
- Sharing participants’ experiences and reflections on integrating the use of AI tools by students across different disciplinary contexts.
Specific expected learning outcomes:
By the end of the workshop, participants will:
- Be aware of the need and urgency to implement training plans for university teaching staff and students across six types of AI literacy: basic, functional, critical, ethical, transformative, and discipline-specific.
Be familiar with the main free generative AI tools available for teaching and learning.
Understand the AI competency framework for teachers recommended by UNESCO, including the knowledge, skills, and values that educators must master in the age of AI.
Be fully aware of the possibilities for using AI tools in various aspects of teaching, including instructional design, advising on best practices in specific disciplines, creating instructional materials, developing chatbots for student tutoring, designing conceptual inventories and assessment questions, and automatically analyzing student responses.
Be guided in designing activities and tasks that allow students to practice digital skills and critical thinking in their out-of-class time using various generative AI tools.
Learn proven strategies to help university students critically evaluate and verify content generated by AI tools against original literature.
Have compared and discussed with colleagues from related disciplines the pedagogical applications of AI tools and activities in their own areas of university teaching.
Have shared examples of implementing these strategies to incorporate student activities using AI tools across different disciplines.
Methodology:
Prior to the pre-conference workshop, the organizers will set up an online environment on the Open UAH platform, including videos, instructional resources, and exercises for participants.
Within this online environment, participants will find a structured roadmap for exploring and learning with the various resources on using generative AI (GAI) tools in university teaching. These resources will include short videos (5–10 minutes each) covering different pedagogical frameworks for incorporating student activities with GAI, such as expository lectures, interactive lectures with active learning and formative assessment, flipped classrooms, and inductive methods including Case-, Problem-, or Project-Based Learning, with special attention to Adaptive Flipped Classroom and Inquiry-Based Learning.
Additional resources will cover critical topics, including the AI training needs of university teachers and students, AI literacy for teachers and students, exploring and leveraging the frontier of AI capabilities in specific disciplines, training students in critical thinking, and classifying course activities according to levels of allowed AI use using Artificial Intelligence Assessment Scales.
The online environment will also feature demonstration videos on how to use AI tools most effectively in teaching and learning. Participants will learn how to use AI tools in roles such as pedagogical design consultant, teaching assistant, creator of instructional materials, and generator of activities, questions, tasks, and problems for student training and formative assessment. They will also learn to program chatbots for expert student tutoring, develop conceptual inventories and assessment questions, and use automated methods to analyze student responses. Finally, the online preparatory phase will include exercises using GAI tools to help participants improve their university courses by identifying and applying best practices from the literature within their own disciplines.
During May, at least two webinars will cover these topics in preparation for the in-person pre-conference meeting, engaging participants in the preparatory exercises. To support this, the organizers will also provide relevant information and exercises to participants.
During the first part of the in-person meeting, presenters will introduce the workshop topics and dynamics. Participants will then work in disciplinary groups to pool their experiences and propose designs for learning experiences in which student use of AI is integrated. The goal is to help students develop skills for the efficient, critical, and responsible use of AI in their learning and professional work. Professor Fernando Remião will facilitate and moderate the group discussions and help synthesize their conclusions. The workshop will conclude with a summary of the main outcomes and key insights derived from the discussions and collaborative exercises. |
