Applying the African Buffalo Optimization Algorithm to Enhance Pedagogical Approaches
DOI:
https://doi.org/10.66545/501fwd69Keywords:
African buffalo optimization, digitization, learning, pedagogyAbstract
Algorithms are to Artificial Intelligence what mathematical formulas are to Mathematics. Algorithms form the bedrock upon which Artificial Intelligence thrives. The African Buffalo Optimization algorithm which is inspired by the behavior of African buffalo herds that use a collective intelligence approach to optimize their movement and grazing patterns can be applied to pedagogy to improve learning outcomes. In this paper, the African Buffalo Optimization algorithm which is a nature-inspired Artificial Intelligence technique is applied to pedagogy. Using the analytical research method since it is not a experimental paper, it was observed that the algorithm has wide applications to pedagogy, especially, in the areas of optimizing learning paths, resource allocation, assessment and evaluation as well as curriculum design. Other areas of usefulness, though outside the scope of this paper, include automated grading, student grouping, data analysis and learning environment design schemes. Given the above, the study, safely, concludes that the African Buffalo Optimization algorithm is a veritable tool to optimize pedagogical approaches, leading to improved learning outcomes and more efficient use of resources. It is, therefore, recommended that other optimization techniques such as Particle Swarm Optimization, Cuckoo Search and the Genetic Algorithm should be investigated to unravel their impact on pedagogy.
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