| Code |
18061
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| Year |
1
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| Semester |
L0
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| ECTS Credits |
1
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| Workload |
TP(17H)
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| Scientific area |
Formação de Professores
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Entry requirements |
Teachers from elementary, middle, and high school, as well as university students.
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Learning outcomes |
Teaching "outside the box" is an approach that challenges traditional teaching methods and aims to awaken the creativity, critical thinking, and innovation of teachers and students. This perspective aims to break with conventional teaching models, often focused only on theoretical content, to explore new forms of learning that are more dynamic, interactive, and aligned with the needs of our times.
At the end of the curricular unit, the student should be able to:
- Promote the exchange of knowledge and discussion about innovative strategies, new educational projects, and the use of Artificial Intelligence in the school context.
- Promote the integration of pedagogical practices and strategies that use Artificial Intelligence in teaching-learning environments.
- Equip trainees with the knowledge, skills, and attitudes to implement new pedagogical practices and approaches.
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Syllabus |
Module I: The Creative Revolution: How Generative AI is Redefining Learning and Creativity.
Module II: The School of the Future is Today: Between STEAM Innovation and the Challenges of AI.
Module III: Science in the "Bridging the Bridge" Educational Project.
Module IV: Teachers Who Innovate, Tools That Inspire - Exploring the power of AI in science education.
Module V: Discussion on "Teaching outside the box". New educational projects and Artificial Intelligence.
Module VI: Parallel Workshops.
Module VII: Art and Science.
Module VIII: From organization to classroom: An example of successful Pedagogical Innovation.
Module IX: Teacher, what are we going to do today? - The "When Dinosaurs Come to Life!" learning scenario disassembled "outside the box".
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Main Bibliography |
- Materials provided by the workshop facilitators.
- Jasmine E. Larkley and Viola B. Maynhard (2008). Innovation in education. New York. Nova Science Publishers. ISBN: 1604562757.
- Kenen Dikilitas (2016). Innovative professional development methods and strategies for STEM education. Hershey PA: Information Science Reference. IGI Global. ISBN: 1466694726.
- Ilídia Cabral e José Matias Alves (2018). INOVAÇÃO PEDAGÓGICA E MUDANÇA EDUCATIVA - Da teoria à(s) prática(s). Porto. Faculdade de Educação e Psicologia da Universidade Católica Portuguesa. ISBN: 9789899948693.
- Rosemary Luckin (2018). Machine Learning and Human Intelligence: The future of education for the 21st century. UCL IOE Press. UCL Institute of Education, University of London, 20 Bedford Way, London WC1H 0AL. ISBN: 1782772510.
- Peter Ilic, Imogen Casebourne and Rupert Wegerif (2024). Artificial Intelligence in Education: The Intersection of Technology and Pedagogy. Springer Nature Switzerland. ISBN: 3031712323.
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Teaching Methodologies and Assessment Criteria |
Participants must complete an assessment in at least 2 workshops.
The assessment is the responsibility of the workshop facilitator and may consist of group work, multiple-choice tests, and/or open-ended tests.
To assess the knowledge acquired, trainees have 10 hours of independent work.
The final classification will be:
Assessment (CCPFC - Scientific-Pedagogical Council for Continuing Education): Assessment from 0 to 10 points.
Assessment (PRR - Recovery and Resilience Plan): Assessment from 0 to 20 points.
Assessment (SIGO - Information and Management System for Educational and Training Offer): Assessment from 0 to 20 points.
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Language |
Portuguese. Tutorial support is available in English.
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