Evaluation of AI-Driven Learning Strategies and Business Innovation for SDG Dissemination in Meta Colombia
Abstract
The problem encountered is the deficient knowledge about the Sustainable Development Goals (SDG) adopted by the United Nations as part of the 2030 agenda in Mesetas and Lejanías, in Meta, Colombia. The problem was solved by sharing at the local level a learning strategy with Artificial Intelligence (AI) and emerging technologies for sustainable innovation with the participation of undergraduate students levels 10 and 11, small business agricultural entrepreneurs and rural producers from the localities of study, useful for the dissemination of the SDGs in the rural sector of the Ariari in Colombia using as a model a successful sustainable business that obtained inherent results to the evaluation of the effectiveness of techniques for the dissemination of knowledge, attitudes and practices as well as metacognitive strategies and AI at the local level useful for the dissemination of the SDGs in Meta Colombia. The data obtained in the research imply effective support strategies for self-assessment and practice for consolidation of learning about the SDG for rural communities using AI. The findings show that AI-powered systems increase learner motivation, engagement, and knowledge retention while providing scalable solutions for various educational scenarios. Limitations include the scope of the implementation and the necessity for additional quantitative study. The paper continues by identifying areas for further research and practical implementation tactics and establishing significant contribution from AI in rural education about the SDGs.
Keywords:
Learner Engagement, Personalized Learning, Sustainable Development Goals (SDG), Artificial Intelligence, Business InnovationDownloads
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Copyright (c) 2025 Mauricio Cabra, Professor
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt the material for non-commercial purposes, as long as proper credit is given to the author and any changes made are indicated.