A novel approach for smart curriculum sequencing based on HSA evolutionary computation

Meriem Hnida, Mohammed Khalidi, S. Bennani
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Abstract

In this paper, an evolutionary algorithm is applied to tackle Intelligent Curriculum Sequencing issue. The purpose is to align educational technology, for instance, curriculum sequence to: students' characteristics and subject-matter coherence. The algorithm considers both technical and pedagogical point of view. Results show that the proposed Evolutionary Computation Search Algorithm could find optimal learning sequences, under a set of constraints, within a reasonable amount of iterations.
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基于HSA进化计算的智能课程排序新方法
本文采用一种进化算法来解决智能课程排序问题。其目的是使教育技术(例如,课程顺序)与学生的特点和学科的一致性保持一致。该算法同时考虑了技术和教学的观点。实验结果表明,所提出的进化计算搜索算法能够在一组约束条件下,在合理的迭代次数内找到最优学习序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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