Teach the environment through augmented reality.
Augmented Reality for Environmental Education and Awareness explores how AR turns abstract environmental ideas into experiences you can see and interact with. You learn how augmented reality works, how to design AR learning experiences — visualising ecosystems, climate change, pollution and conservation in place — and what makes them genuinely educational rather than gimmicky. The course connects the technology to real environmental-awareness and education goals. You finish able to reason about designing an AR experience for environmental learning. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers augmented reality for environmental education — building AR experiences that make environmental concepts vivid, interactive and memorable for learners and the public.
1. Explain how augmented reality works.
2. Design AR environmental learning experiences.
3. Visualise ecosystems and climate concepts.
4. Make AR genuinely educational.
5. Connect AR to awareness and behaviour.
• Educators and environmental communicators
• AR and ed-tech developers
• Museum and outreach professionals
• Students of educational technology
• An understanding of AR for education.
• An environmental-storytelling perspective.
• An AR learning-design foundation.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Analyze the fundamental concepts of augmented reality and its applications in environmental education and awareness • Develop a comprehensive understanding of core biological principles and their relevance to environmental conservation • Evaluate the role of emerging technologies in enhancing environmental education and awareness
Configure laboratory equipment and software for data collection and analysis in environmental research • Design and implement experimental protocols for collecting and analyzing environmental data • Conduct statistical analysis and interpretation of environmental data using specialized software
Implement bioinformatics tools and pipelines for analyzing and interpreting large-scale environmental datasets • Develop computational models and algorithms for predicting environmental trends and patterns • Visualize and communicate complex environmental data insights using data visualization techniques
Design and develop research proposals and experimental designs for environmental research projects • Conduct literature reviews and analyze existing research in environmental education and awareness • Evaluate and select appropriate research methodologies and statistical analysis techniques for environmental research
Develop and deploy advanced augmented reality applications for environmental education and awareness • Design and evaluate the effectiveness of augmented reality-based interventions for environmental conservation • Translate research findings into practical solutions and recommendations for environmental policy and practice
Evaluate and ensure compliance with regulatory requirements and safety standards in environmental research • Analyze and address bioethical considerations and concerns in environmental research and practice • Develop and implement strategies for minimizing environmental risks and ensuring safety in research and practice
Explore and analyze industry applications and career pathways in environmental education and awareness • Develop and evaluate case studies of successful environmental projects and initiatives • Design and propose innovative solutions and strategies for environmental challenges and problems
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Unity |
| Covered Tool / Platform | ARKit |
| Covered Tool / Platform | TensorFlow |
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