Visão Geral

Este curso capacita educadores, instrutores, designers instrucionais e profissionais da área de educação a utilizar técnicas de Engenharia de Prompts para potencializar o ensino, a aprendizagem e a produção de conteúdos educacionais com o apoio da Inteligência Artificial Generativa. O participante aprenderá a criar prompts eficazes para planejamento de aulas, elaboração de materiais didáticos, avaliações, personalização da aprendizagem, tutoria inteligente e apoio às atividades acadêmicas, promovendo maior eficiência e inovação nos processos educacionais.

Objetivo

Após realizar este curso, você será capaz de:

• Compreender os fundamentos da Engenharia de Prompts aplicada à educação
• Criar prompts para desenvolvimento de conteúdos e materiais didáticos de alta qualidade
• Utilizar IA Generativa para planejamento, avaliação e personalização da aprendizagem
• Desenvolver atividades educacionais inovadoras apoiadas por IA
• Melhorar a produtividade na criação de cursos, treinamentos e recursos pedagógicos
• Aplicar princípios éticos, de governança e uso responsável da IA em ambientes educacionais

Publico Alvo

• Professores e docentes
• Instrutores e facilitadores de treinamento
• Designers instrucionais
• Coordenadores pedagógicos
• Profissionais de educação corporativa
• Gestores educacionais e acadêmicos

Pre-Requisitos

• Experiência ou interesse em atividades educacionais
• Conhecimentos básicos de informática
• Interesse em Inteligência Artificial aplicada à educação
• Não é necessário conhecimento em programação

Conteúdo Programatico

Module 1: Introduction to Prompt Engineering for Education

1. Fundamentals of Generative AI
2. AI in education overview
3. Large Language Models fundamentals
4. Educational opportunities and challenges
5. AI-assisted teaching and learning
6. Responsible AI principles in education

Module 2: Foundations of Educational Prompting

1. Anatomy of educational prompts
2. Defining learning objectives
3. Context and instructional design considerations
4. Structuring educational instructions
5. Output formatting for learning materials
6. Prompt quality evaluation

Module 3: Core Prompting Techniques

1. Zero-shot prompting
2. Few-shot prompting
3. Role-based prompting
4. Scenario-based prompting
5. Guided learning interactions
6. Prompt refinement strategies

Module 4: Lesson Planning and Instructional Design

1. Course planning assistance
2. Learning objective generation
3. Curriculum development support
4. Training program design
5. Educational content structuring
6. Instructional improvement workflows

Module 5: Content Creation and Learning Materials

1. Educational text generation
2. Presentation and slide content creation
3. Learning activity development
4. Study guide generation
5. Knowledge summaries
6. Educational resource creation

Module 6: Assessment and Evaluation Support

1. Quiz and test creation
2. Assignment generation
3. Rubric development
4. Feedback assistance
5. Learning assessment strategies
6. Performance evaluation support

Module 7: Personalized Learning Experiences

1. Adaptive learning content
2. Student-specific support materials
3. Learning path recommendations
4. Tutoring assistance concepts
5. Differentiated instruction strategies
6. Individual learning support

Module 8: Prompt Engineering for Corporate Training

1. Professional development programs
2. Technical training content
3. Employee onboarding materials
4. Skills development initiatives
5. Learning reinforcement strategies
6. Training effectiveness support

Module 9: Student Engagement and Learning Support

1. Interactive learning experiences
2. Discussion facilitation prompts
3. Critical thinking development
4. Problem-solving activities
5. Creativity enhancement exercises
6. Collaborative learning support

Module 10: Educational Analytics and Continuous Improvement

1. Learning data interpretation
2. Student performance analysis
3. Training effectiveness assessment
4. Educational reporting assistance
5. Improvement recommendations
6. Continuous learning optimization

Module 11: Ethics, Governance and Responsible AI in Education

1. Academic integrity considerations
2. Privacy and student data protection
3. Ethical AI use in education
4. Bias awareness and mitigation
5. Governance frameworks
6. Human oversight responsibilities

Module 12: Education Prompt Engineering Workshop

1. Lesson planning exercises
2. Content creation workshops
3. Assessment design projects
4. Personalized learning scenarios
5. Corporate training case studies
6. Final prompt engineering for education project