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IA generativa en el aula

Guadalupe Vadillo, Omar Terrazas Razo, Carlos Adrian Sarmiento Gutierrez, and Jackeline Bucio

Conocerás, el concepto, utilidad, retos y posibilidades educativas de la IA generativa a través de la experiencia directa, y de lecturas y discusiones, con la intención de proponer aplicaciones útiles para el aprendizaje y la enseñanza. Discutirás las implicaciones éticas del uso de IA generativas en la educación.

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Conocerás, el concepto, utilidad, retos y posibilidades educativas de la IA generativa a través de la experiencia directa, y de lecturas y discusiones, con la intención de proponer aplicaciones útiles para el aprendizaje y la enseñanza. Discutirás las implicaciones éticas del uso de IA generativas en la educación.

Definirás una política de trabajo personalizada.

Además contamos con la participación del Dr. Melchor Sánchez Mendiola compartiendo su experiencia

en evaluación educativa, el Dr. Guillermo Barrios del Valle nos comparte su experiencia de uso con sus alumnos y el Dr. Erik Carbajal Degante comparte su opinión sobre las inteligencia artificial generativa.

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What's inside

Syllabus

Introducción a la IA generativa
En esta semana aprenderás como interactuar con las IA generativas del tipo Texto a Texto e identificarás los tipos de actividades de aprendizaje y evaluación que puedan resolverse estas herramientas.
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Herramientas de IA generativa para el aula
En esta semana conocerás algunas de las herramientas de IA generativas que pueden ser útiles en tu ejercicio en el aula
Herramientas para la escritura académica y reestructuración de una actividad
En esta semana conocerás herramientas que pueden ser útiles para actividades docentes relacionadas con la enseñanza o redacción de textos académicos
Aspectos éticos y retos de la IA generativa
En esta semana se conocerás las limitaciones en el uso de IA generativa en la práctica, responsabilidades éticas y un panorama del futuro de su uso en la educación

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Enseña sobre la IA generativa, que es un tema innovador en la industria
Aborda las implicaciones éticas del uso de la IA generativa en la educación, lo que es crucial para su uso responsable
Cuenta con instructores reconocidos en el campo de la evaluación educativa y el uso de IA en la educación
Proporciona directrices personalizadas para el uso de la IA generativa en el aula, lo que ayuda a los estudiantes a adaptar su aplicación
Explora diversas herramientas de IA generativa, lo que amplía las opciones para su uso en la enseñanza y el aprendizaje
El curso es multiformato, lo que ofrece una experiencia de aprendizaje más atractiva e interactiva

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in IA generativa en el aula with these activities:
Revise the fundamentals of generative AI
Refreshing your understanding of the foundational concepts of generative AI will make it easier to grasp the advanced topics covered in this course.
Browse courses on Generative AI
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  • Review the definitions and principles of generative AI.
  • Summarize the different types of generative AI models, including their strengths and limitations.
  • Describe the applications of generative AI in various industries.
Participate in peer-led study groups
Engaging in peer-led study groups will provide you with opportunities to discuss the course material, share insights, and learn from others.
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  • Form or join a study group with other students in the course.
  • Meet regularly to discuss the course content, share notes, and work on assignments together.
Practice using generative AI tools
Hands-on practice with generative AI tools will enhance your proficiency and enable you to apply them effectively in your projects.
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  • Experiment with different generative AI tools for text, image, and audio generation.
  • Explore the features and limitations of each tool.
  • Create your own generative AI projects using the tools.
Three other activities
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Explore advanced topics in generative AI
Delving into advanced topics in generative AI will expand your knowledge and prepare you for future developments in the field.
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  • Identify areas of generative AI that interest you and explore related research papers.
  • Follow online tutorials or take courses to learn about specific techniques and algorithms.
  • Stay updated on the latest advancements in generative AI by reading industry blogs and attending conferences.
Develop an AI-powered educational tool
Creating an AI-powered educational tool will deepen your understanding of generative AI's capabilities and its potential impact on education.
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  • Identify a specific educational problem or challenge that generative AI can address.
  • Design and develop an AI-powered tool to solve the problem.
  • Evaluate the effectiveness of the tool through user testing.
  • Present your tool to the class and discuss its potential impact.
Contribute to an open-source generative AI project
Contributing to an open-source generative AI project will provide you with valuable real-world experience and deepen your understanding of the technology.
Browse courses on Open Source Software
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  • Identify an open-source generative AI project that aligns with your interests.
  • Review the project's code and documentation.
  • Make a contribution to the project by fixing a bug, adding a feature, or improving the documentation.

Career center

Learners who complete IA generativa en el aula will develop knowledge and skills that may be useful to these careers:
Educational Consultant
An Educational Consultant advises schools and educators on the implementation and use of AI in the classroom. Their insight into the challenges and opportunities that come with the use of AI in education allows them to make recommendations and guide curriculum development.
Curriculum Developer
A Curriculum Developer uses AI to develop engaging and effective learning experiences. They work with educators to identify areas where AI can enhance instruction and create content that is tailored to the needs of students.
Educator
An Educator interacts with IA to streamline their lesson plan, using generative AI tools to improve and create assignments, activities, and assessments that are more effective and engaging. Educators must learn about copyright, ethics, and the appropriate use of AI-generated content.
AI Engineer - Education
An AI Engineer in the education sector designs and develops AI solutions for educational purposes. They work with educators to identify needs and create AI tools that enhance teaching and learning experiences.
Instructional Designer
An Instructional Designer creates and develops instructional materials, including e-learning courses, workshops, and other learning experiences. They utilize AI tools to enhance the interactivity and engagement of their designs.
Chief Technology Officer (CTO) - Education
A Chief Technology Officer (CTO) in the education sector leads the implementation and integration of AI in schools and universities. They develop and manage the technology infrastructure and ensure that AI is used effectively and ethically to enhance teaching and learning.
Instructional Coach - AI Integration
An Instructional Coach specializing in AI integration supports educators in using AI effectively in their teaching. They provide guidance on lesson planning, assessment, and classroom management with AI tools.
AI Ethics Officer - Education
An AI Ethics Officer in the education sector ensures the ethical and responsible use of AI in schools and universities. They develop and implement policies, train staff, and monitor the use of AI to mitigate potential risks and biases.
Educational Technologist
An Educational Technologist integrates AI into the classroom, providing training and support to educators. They ensure that AI is used effectively and ethically to enhance learning experiences.
Learning Scientist
A Learning Scientist conducts research on how people learn, using AI to analyze data and develop new teaching methods. Their expertise in AI allows them to identify patterns and make recommendations for improving educational practices.
Educational Content Developer - AI-Generated Content
An Educational Content Developer specializing in AI-generated content creates and curates AI-generated content for educational purposes. They ensure that the content is accurate, engaging, and aligned with educational standards.
Data Scientist
A Data Scientist uses their knowledge of AI to analyze educational data and identify trends. They help educators and administrators make informed decisions about curriculum, instruction, and assessment.
AI Specialist - Education
An AI Specialist in the education sector provides expertise and support in the implementation and use of AI in schools and universities. They train educators on the ethical and effective use of AI and help to develop AI-based learning resources.
Education Policy Analyst
An Education Policy Analyst examines the impact of AI on education policy and makes recommendations for its implementation. Their understanding of AI helps them to anticipate the challenges and opportunities that come with its use in education.
Educational Researcher
An Educational Researcher designs and conducts research studies to evaluate the effectiveness of AI in education. They use their findings to make recommendations for improving teaching and learning practices.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in IA generativa en el aula.
Para una experiencia práctica al trabajar con herramientas de IA, este libro guía a los lectores a través del uso de bibliotecas populares como Scikit-Learn, Keras y TensorFlow, complementando el enfoque del curso en herramientas específicas.
Para una comprensión más profunda de las técnicas subyacentes de la IA generativa, este libro se sumerge en el procesamiento del lenguaje natural, proporcionando información técnica valiosa.
Este libro ofrece una guía paso a paso para crear sistemas de aprendizaje automático con Python, brindando información práctica sobre el desarrollo e implementación de modelos generativos.
Para ampliar el conocimiento sobre evaluación educativa, este libro proporciona una base sólida en los principios y procedimientos de evaluación, enriqueciendo las discusiones del curso sobre los desafíos de evaluar el trabajo generado por IA.
Para una comprensión más profunda del procesamiento del lenguaje natural con Python, este libro cubre técnicas y herramientas esenciales, lo que mejora el conocimiento del curso sobre el uso de IA generativa para tareas lingüísticas.
Como referencia general, este libro ofrece una descripción detallada de la inteligencia artificial en su conjunto, incluyendo técnicas de aprendizaje automático y métodos generativos, complementando el enfoque específico del curso.

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