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Published

2024-08-26

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Vol. 9 No. 8 (2024): Published

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Research Articles

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How to Cite

Calzada, K. P. D. (2024). Anti-dependency teaching strategy for innovation in the age of AI among technology-based students. Environment and Social Psychology, 9(8). https://doi.org/10.59429/esp.v9i8.3026

Anti-dependency teaching strategy for innovation in the age of AI among technology-based students

Kier P. Dela Calzada

Zamboanga Peninsula Polytechnic State University-Vitali Campus, Zamboanga City 7000, Philippines


DOI: https://doi.org/10.59429/esp.v9i8.3026


Keywords: teaching strategy, Artificial Intelligence, technology-based students, interdisciplinary approaches, ethical considerations, adaptability

Abstract

The anti-dependency teaching strategy aims to prepare technology-based students for the evolving world of artificial intelligence (AI). Instead of teaching students to be passive users of technology, it pushes them to become active producers and problem solvers. By cultivating creativity, critical thinking abilities, and a growth mentality, this approach equips students to use AI as a tool for innovation. It explores the potential of AI while acknowledging its limitations and ethical implications through project-based learning, interdisciplinary methodologies, and real-world applications. In order to promote an innovative culture and group problem-solving, it also integrates collaborative learning environments. The approach places a strong emphasis on adaptation and ongoing learning, keeping students abreast of developments in artificial intelligence and related fields. The study's respondents were twenty-four (24) instructors of technology-based disciplines with creative elements. By putting this plan into practice, educators can give students the knowledge and perspective they need to effectively navigate the AI era,  producing a new generation of creative thinkers who can transform society for the better.

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