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Artificial neural networks can be exploited to achieve the task of MCA.
The result of the study revealed  that CTL-MM was better in improving students’ MCA, N-Gain of MCA, and SC.
The key advantage of MCA is that it identifies a possible association between various contributing factors.
What will be gained by using MCA is that it will allow understanding the mechanistic basis of network-based selectivity.