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Demonstrating its commitment to innovative and experiential learning, Asia Pacific University of Technology & Innovation (APU) recently provided French exchange students with a valuable opportunity to explore the practical applications of artificial intelligence (AI) through a hands-on smart farming experience.

As part of the six-week Fundamentals of Computational Thinking for AI module, led by Assoc Prof Ts Dr Vinothini Kasinathan (Associate Professor, School of Computing at APU) and Dr Adeline Sneha John Chrisastum (Senior Lecturer, School of Computing at APU), the students participated in an immersive session at APU’s AGRHI Technology Hub, where they gained first-hand exposure to how AI technologies are integrated into modern agricultural systems.

During the session, students engaged in structured learning activities that encouraged them to identify key AI system components within modern agricultural practices and smart farming systems, including data inputs, processing mechanisms, decision-making processes, and resulting outputs.

Through guided observations, they also developed simple IF-THEN logical rules, such as identifying conditions and corresponding actions within the smart farming system, to better understand how computational thinking principles are applied in AI-driven agricultural environments.

To further strengthen their learning experience, students collaborated in small groups to create short videos explaining how AI functions within the smart farming ecosystem, to which the activity encouraged them to translate theoretical concepts into practical explanations, while enhancing communication, teamwork, and critical thinking skills.

The session delivered several meaningful learning outcomes, including:

1. Strengthened understanding of AI concepts through direct exposure to real-world applications within a smart farming environment.
2. Enhanced ability to apply computational thinking principles by identifying AI processes and developing logical decision-making structures.
3. Greater awareness of the role of data-driven technologies and automation in addressing challenges within the agricultural sector.
4. Improved communication, collaboration, and critical thinking skills through interactive group activities and practical learning tasks.
    

The experience was well received by the students, who expressed enthusiasm towards the opportunity to witness AI concepts being translated into practical applications within modern agricultural practices through smart farming systems.

Beyond strengthening their understanding of computational thinking and smart technologies, the session also provided them with a broader perspective on how innovation can be applied to address real-world challenges across different sectors.

Overall, the session served as a valuable platform for connecting theoretical knowledge with real-world technological applications, reinforcing APU’s commitment to delivering inclusive and hands-on educational experiences that prepare students to engage confidently with emerging technologies across diverse industries.