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Title: Teaching-Learning-Based Optimization (TLBO) Algorithm for Enhanced Curriculum Evaluation: A Feasibility Study
Authors: Abdullahi, Ibrahim Mohammed
Muhammad, Hauwa K
Keywords: Teaching-learning-based Optimization
Metaheuristic Optimization Algorithms
Curriculum Evaluation
Computational Intelligence
Issue Date: 1-Oct-2019
Publisher: Federal Uuniversity of Technology, Minna
Citation: Ibrahim M. Abdullahi & Hauwa K. Muhammad (2019), “Teaching-Learning-Based Optimization (TLBO) Algorithm for Enhanced Curriculum Evaluation: A Feasibility Study” Proceedings of the 7th International Conference of Science and Technology Education (SSTE), Federal University of Technology, Minna, pp. 583-590.
Series/Report no.: 7th;
Abstract: In this paper, a feasibility study towards the development of a curriculum evaluation model using Teaching-Learning-Based Optimization (TLBO) was presented. Based on the successes of Computation Intelligence techniques, especially the metaheuristic optimization algorithms in solving complex optimization problems, the application of TLBO for curriculum evaluation was proposed. The teacher-learner process of the algorithm and its performance evaluation function will be harnessed to evaluate the effectiveness of a curriculum. When developed, the algorithm is expected to enhance curriculum development process.
ISBN: 979-978-52341-0-7
Appears in Collections:Computer Engineering

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