AI Mini Course for Environmental Educators
This complementary mini video course will take you through a series of conscience hands-on lessons to show how you can use AI tools to enhance your environmental education.
- Understand AI fundamentals and their applications in environmental contexts.
- Develop skills to use AI for data analysis, content creation and interactive learning.
- Explore future trends in AI and their potential impact on environmental education.
Module 1: Framing the World
In this initial module, participants will understand the significance of framing in environmental education. It explores how narratives about the environment and technology can profoundly influence learning and engagement.
Module 2: Fundamentals of AI
This module offers an in introduction to the fundamentals of Artificial Intelligence, covering its history, development, and essential concepts. Participants will gain an understanding of Machine Learning and Deep Learning and their applications in environmental contexts. The focus is on demystifying AI and providing a solid foundation for educators to understand and communicate the principles of AI in their environmental education endeavours.
Module 3: Creating a Doppelganger for Large Information
Concentrating on large environmental information, this module teaches techniques for data mirroring and management using AI. Participants will learning to handle and interpret extensive environmental information effectively. This module equips educators with the skills to manage and utilise large information repositories, enhancing their ability to analysis and gain insights in environmental studies.
Module 4: Creating Text-Based Content
In this module, participants will explore AI tools for generating text-based content, such as educational articles, reports and papers. The session includes hands-on training in using AI for content creation, emphasising how AI can assist in producing informative and engaging materials on environmental topics. This skill is crucial for educators looking to create a diverse array of text resources for their teaching and advocacy work.
Module 5: Creating Imagery and Image Editing
This module introduces AI applications in environmental photography enhancement and image creation. Participants will engage in a workshop on AI tools for image editing and graphic design, tailored to environmental contexts. The focus is on harnessing AI to create visually appealing and informative imagery, a vital skill for enhancing the visual appeal and effectiveness of environmental educational materials.
Module 6: Generating Speech and Sounds
In this module, participants will delve into the world of AI-generated environmental audio content. The focus will be on using AI to create engaging podcasts, speeches and soundscapes that resonate with environmental themes. Practical exercises will enable educators to harness AI in developing auditory materials, which can be a powerful tool in environmental education, helping to create immersive and impactful learning experiences.
Module 7: Building Video and Creating Scripts
This module explores the techniques for creating AI-scripted video content on environmental topics. It includes a comprehensive workshop on video production using AI, covering aspects like scriptwriting and video editing. Participants will learn how to produce compelling video content, an increasingly important medium in today’s digital landscape, using AI tools. This skill is vital for educators seeking to engage their audience through dynamic and informative video resources.
Module 8: Doing the Unknown by Creating Code
Here, participants will be introduced to the basics of AI programming, specifically tailored for environmental applications. The module includes a coding session where participants will understand how to use AI to generate code. This module aims to demystify coding and empower educators with the ability to develop simple AI solutions, enhancing their capability to tackle unique environmental challenges through technology.
Module 9: Making Things Interactive with DKR
This module focuses on interactive learning through AI, using games, simulations, and virtual reality with Dynamic Knowledge Rendering (DKR). It explores how interactive AI applications can enhance environmental education, making it more engaging and effective. Participants will learn about the integration of AI in creating interactive educational experiences, a crucial skill for modern educators to keep their teaching methods relevant and impactful.
Module 10: What is Coming Next
The final module offers a glimpse into the future of AI and its potential impact on environmental education. It involves discussions on upcoming trends in AI technology and how educators can stay updated and adaptable to these emerging tools. The session aims to prepare educators for the evolving landscape of AI in environmental education, ensuring they are well-equipped to integrate future advancements into their educational repertoire.
If you are interested in accessing this complementary course please enter your email address below.