Workshop AI Week – Lusófona Academic Teaching Community
Introduction to Artificial Intelligence Technologies from a Teaching and Learning Perspective
Artificial intelligence is already part of the work carried out by those who teach, conduct research and support the activities of Ensino Lusófona. From 16 to 20 November, AI Week brings together practical sessions for lecturers, researchers and members of staff, covering everything from prompt engineering to responsible use, critical thinking and the reliability of AI-generated responses.
The sessions are interactive and designed to provide practical skills that can be applied immediately in everyday work, using real-life examples and documents.
Access:
All events will take place online via Microsoft Teams. To access the sessions, simply click on the relevant links in the programme below.
Programme
16 November (Monday)
Live Prompting: Using LLMs in Academic Work
- Session 1 - 10:00 am to 11:00 am - Level 1: Practical introduction to using LLMs with real-life assignments. Checking responses. LLMs such as Google.
- Session 2 - 4:00 pm to 5:00 pm - Level 2: Guided practice in setting up and using AI projects, with prompts/instructions applied to everyday tasks and real-life documents.
Speaker: Tobias Frühmorgen
Target audience: Lecturers/Researchers and non-teaching staff
17 November (Tuesday)
Responsible Use of AI: Ethics and Personal Data Protection
An exploration of the responsible use of AI in teaching, addressing ethical issues and the use of personal data. Recommendations on the use of AI in teaching activities (internal guidelines and good practice).
Speaker: Diogo Mateus
Target audience: Lecturers/Researchers
18 November (Wednesday)
How to Ask AI Questions: Techniques for Getting Better Answers
A practical introduction to prompt engineering, exploring techniques for formulating clear instructions and obtaining more useful responses from language models. Experimentation with strategies such as zero-shot, few-shot and prompt chaining in academic tasks.
Speakers: Zuil Pirola, Thiago Gustavo
Target audience: Students
AI and Critical Thinking – Advanced Level
Developing the ability to design teaching activities that promote critical thinking through the use of AI.
Topics:
- Clarifying the concept of critical thinking (e.g. Bloom, Ennis, Paul, Facione, Barnett, Saiz); skills and dispositions.
- The potential and risks of AI: multiple perspectives; passivity, reduced creativity, dependence and algorithmic bias.
- Levels of AI use (basic, intermediate and critical) and possible roles for AI: an object of criticism, a partner or a challenger.
- Practical approaches: critical analysis of responses, comparison of perspectives, identification of bias and fallacies, fact-checking; designing activities based on cognitive friction, critical analysis, justification and reformulation.
Speaker: João Matos
Target audience: Lecturers/Researchers
19 November (Thursday)
Can We Trust AI? Testing the Consistency and Reliability of Responses
An exploration of the stability of language model outputs when prompts are modified. A discussion of AI reliability in text annotation and good practice for evaluating and validating results in teaching and research.
Speakers: Zuil Pirola, Bruno Saraiva
Target audience: Lecturers/Researchers and Students
AI and Critical Thinking – Advanced Level
Developing the ability to design teaching activities that promote critical thinking through the use of AI.
Topics:
- Clarifying the concept of critical thinking (e.g. Bloom, Ennis, Paul, Facione, Barnett, Saiz); skills and dispositions.
- The potential and risks of AI: multiple perspectives; passivity, reduced creativity, dependence and algorithmic bias.
- Levels of AI use (basic, intermediate and critical) and possible roles for AI: an object of criticism, a partner or a challenger.
- Practical approaches: critical analysis of responses, comparison of perspectives, identification of bias and fallacies, fact-checking; designing activities based on cognitive friction, critical analysis, justification and reformulation.
Speaker: João Matos
Target audience: Lecturers/Researchers
20 November (Friday)
Irresponsible AI: Garbage In, Garbage Out
How can we ensure better results through high-quality inputs and instructions? This workshop will explore good practice in the use of generative AI and methods for checking, validating and critically evaluating the content it produces.
Speakers: Daniel Silveira, João Caldeira
Target audience: Students
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