COD 2025 - PS292
Face to face - "AI-Powered Language Teaching: Enhancing Learning through Technology"
Primary and Secondary School Heads, Coordinators and Teachers
1
sesiones, inicia: 14-Feb
Por favor incribirse antes del Martes, 11 de febrero de 2025
Ficha del curso
Ciclo: 2025
Nivel: Primaria / Secundaria
Idioma: Inglés
Estado: Anunciado
Lugar: ESSARP - Deheza 3139, CABA
Capacitador/es: Ms. Luciana Fernández
Colegios Afiliados
No arancelado
No arancelado
Centros de Examen
ARS 70000.00
ARS 70000.00
No afiliados
ARS 70000.00
ARS 70000.00
Sesiones
Sesiones | Fechas | Inicia | Termina |
---|---|---|---|
1 | 14 Febrero 2025 | 09:30 am | 12:30 pm |
Capacitador/es
Luciana Fernández
Primary and Secondary School Heads, Coordinators and Teachers
1. Understand AI in Education: Gain foundational knowledge of AI and its potential in language teaching.
2. Explore AI Tools: Learn about various AI tools
3. Task Design: Integrate AI effectively into lesson planning, task creation, and classroom activities.
4. Student Engagement: Use AI to enhance learner motivation, interactivity, and personalized learning.
5. Assessments and Feedback: Leverage AI for efficient assessment, error analysis, and constructive feedback.
6. Ethical Use of AI: Address challenges like plagiarism, data privacy, and the role of human judgment in AI-driven education.
7. Practical Implementation: Develop actionable skills to implement AI tools in real-world language teaching scenarios.
2. Explore AI Tools: Learn about various AI tools
3. Task Design: Integrate AI effectively into lesson planning, task creation, and classroom activities.
4. Student Engagement: Use AI to enhance learner motivation, interactivity, and personalized learning.
5. Assessments and Feedback: Leverage AI for efficient assessment, error analysis, and constructive feedback.
6. Ethical Use of AI: Address challenges like plagiarism, data privacy, and the role of human judgment in AI-driven education.
7. Practical Implementation: Develop actionable skills to implement AI tools in real-world language teaching scenarios.
1. Introduction to AI in Language Teaching
What is AI? Overview of its role in education.
Case studies: How AI is transforming language learning.
Discussion: Benefits and limitations of AI in language teaching.
2. Exploring AI Tools for Language Educators
Overview of popular AI-based language tools.
Hands-on practice with platforms like ChatGPT, Duolingo for Educators, and Replika.
Identifying tools that align with teaching goals.
3. Designing AI-Integrated Language Tasks
Creating AI-supported reading, writing, speaking, and listening activities.
Collaborative tasks: Group projects with AI facilitation.
Project-based learning with AI assistance.
4. Personalizing Learning with AI
Tailoring content to individual learners using AI.
Tracking progress and adapting lessons with AI analytics.
Gamification and motivation through AI-driven apps.
5. AI in Assessment and Feedback
Designing AI-enabled formative and summative assessments.
Using AI for error correction and feedback loops.
Managing AI bias in language assessments.
6. Ethical Considerations and Challenges
Ensuring privacy and security in AI-assisted tasks.
Addressing over-reliance on AI: Balancing technology and human input.
Discussing plagiarism and AI-generated content.
Practical Workshop: AI in Action
Participants design an AI-integrated lesson plan or activity.
What is AI? Overview of its role in education.
Case studies: How AI is transforming language learning.
Discussion: Benefits and limitations of AI in language teaching.
2. Exploring AI Tools for Language Educators
Overview of popular AI-based language tools.
Hands-on practice with platforms like ChatGPT, Duolingo for Educators, and Replika.
Identifying tools that align with teaching goals.
3. Designing AI-Integrated Language Tasks
Creating AI-supported reading, writing, speaking, and listening activities.
Collaborative tasks: Group projects with AI facilitation.
Project-based learning with AI assistance.
4. Personalizing Learning with AI
Tailoring content to individual learners using AI.
Tracking progress and adapting lessons with AI analytics.
Gamification and motivation through AI-driven apps.
5. AI in Assessment and Feedback
Designing AI-enabled formative and summative assessments.
Using AI for error correction and feedback loops.
Managing AI bias in language assessments.
6. Ethical Considerations and Challenges
Ensuring privacy and security in AI-assisted tasks.
Addressing over-reliance on AI: Balancing technology and human input.
Discussing plagiarism and AI-generated content.
Practical Workshop: AI in Action
Participants design an AI-integrated lesson plan or activity.
In this course participants will:
participate in discussions
explore tools
analyze tools
design and apply what we will explore together
participate in discussions
explore tools
analyze tools
design and apply what we will explore together
To be specified.