This learning unit followed the Explore–Execute–Enhance approach to introduce students to how Artificial Intelligence understands biological systems through bio-inspired principles. Students explored key concepts linking biology and AI, applied this knowledge through practical, interactive activities, and deepened their understanding using Augmented Reality tools, particularly Delightex Edu. The use of AR made complex and abstract concepts more accessible, supported active engagement, and strengthened the connection between theory and practice. By highlighting bio-inspiration as a source of innovative solutions, the unit encourages further exploration of how nature-inspired AI can address real-world challenges.

Phase Description
Explore

- Research and Discovery: Students explore how Artificial Intelligence interprets biological systems by transforming living structures (cells, neurons, genetic sequences) into digital data. They investigate how patterns, relationships, and structures in biology can be analyzed by AI systems.

- Content Development: Fundamental concepts of biology, Artificial Intelligence, and bio-inspiration are introduced through clear explanations and visual examples. Topics include biology as data, pattern recognition, bio-inspired AI models (neural networks, evolution, self-organization), and the role of AI in modern biological research.

- Needs Analysis: Students’ prior knowledge of biology, basic digital literacy, and understanding of data and systems is identified through discussion and guiding questions. This ensures that learning activities are accessible and appropriately scaffolded for the target age group (14–18 years).
Execute


- Curriculum Implementation: Students apply theoretical knowledge through hands-on, bio-inspired activities that demonstrate how AI learns from nature. Learning focuses on observation, comparison, reasoning, and decision-making rather than technical programming.

- Interactive Exercises: Using Augmented Reality activities developed with Delightex Edu, students interact with 3D biological models, simplified neural network representations, and evolution-inspired simulations. These exercises allow learners to explore pattern recognition, learning processes, and adaptation in an intuitive and engaging way.

- Feedback Collection: Students reflect on their observations and decisions during the AR activities through class discussion, peer feedback, and teacher-guided reflection. Immediate visual feedback within the AR environment supports formative assessment.
Enhance

- AR Integration: Augmented Reality is used to visualize complex biological and AI-related concepts that are difficult to observe in real life. Delightex Edu enables the creation and exploration of interactive 3D scenes in AR or VR, supporting inclusive and experiential learning.

- Interactive Learning: AR activities promote active learning through exploration, experimentation, and collaboration. Students engage with digital models, manipulate variables, and observe system-level effects, strengthening conceptual understanding and systems thinking.

Gamified Content:

  • Points and Badges: Students earn points or visual rewards for completing tasks and making correct observations.
  • Challenges and Levels: Activities are structured as progressive challenges that increase in complexity.
  • Collaborative Tasks: Group-based AR activities encourage teamwork, communication, and shared problem-solving.

AR-Based Assessments:  Learning outcomes are assessed through students’ interaction with AR models, completion of tasks, and reflective discussion. AR-based assessment supports demonstration of understanding, critical thinking, and application of bio-inspired principles rather than memorization.