Performance index assessment of intelligent computing methods in e-learning systems
by Aditya Khamparia; Babita Pandey
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 23, No. 3/4, 2022

Abstract: In the current advancing and smart growing technology e-learning system strikes the most dominant position for the learning style. Many research studies have evaluated e-learning system by using various criteria like prediction accuracy, satisfaction degree, pre-post analysis etc., but none of the results have explored the common methodology for appraising such systems. The proposed research work is focused on resolving the drawbacks of common benchmarks for evaluating the performance of e-learning system by including the importance (I), complexity (CC) and also determined the measurements of different learning problems and learning techniques. Finally, the performance index (PI) is computed on the basis of I and CC, which is represented on graphs with comparative view of importance (I), complexity (CC) and performance index (PI) for all the models.

Online publication date: Thu, 03-Nov-2022

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