Critical thinking enhancing predictive parameters in acquiring best results in academics for Higher Education Institutions (HEIs) in India: an computerized analytical modeling using WEKA


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Authors

  • Ankur Arun Kulkarni Vice Chancellor & Professor in Civil Engineering, SAGE University, Indore, India Author
  • Kuntal Barua Associate Professor, Institute of Advance Computing, SAGE University, Indore, India Author

DOI:

https://doi.org/10.61705/6bs5jf61

Keywords:

Critical Thinking, WEKA, Predictive Model, naïve bayes, multilayer Perceptron, decision stump, LMT

Abstract

Critical thinking is the mentally thought procedure of effectively and skillfully conceptualizing, applying, dissecting, incorporating, and additionally assessing data assembled from, or produced by, perception, encounter, reflection, thinking, or correspondence, as a manual for conviction and activity. It doesn't involve aggregating data. This is a method of thinking - about any subject, substance, or issue - in which the mastermind enhances the nature of his or her thinking by skillfully assuming responsibility of the structures innate in thinking and forcing scholarly benchmarks upon them. An individual with a decent memory and who knows a great deal of realities isn't really great at it. A critical mastermind can derive results from what he/she knows, and he/she realizes how to make utilization of data to take care of issues, and to look for pertinent wellsprings of data to illuminate himself/herself. This might not be mistaken for being pugnacious or being critical of other individuals. Albeit critical thinking aptitudes can be utilized in uncovering deceptions and awful thinking, it can likewise assume an imperative job in helpful thinking and useful undertakings. Critical thinking can enable us to procure learning, enhance our speculations, and fortify contentions. It is independently directed, self-trained thinking which endeavors to reason at the most elevated amount of value in a honest manner. In this process the study undertake academic data for all years students ranging from 10th class to UG with a sample size of 200 students tested on 21 parameters. The WEKA is proposed to test the inputs on parameters namely naïve bayes, multilayer Perceptron, decision stump, LMT etc. The study infers that WEKA is a systematic modeling tool facilitating and enhancing the thought process for higher education institutes in India to acquire acquiring best results in academics and increase sustainability of institutions for a prolonged period.

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Published

2024-01-03

How to Cite

Critical thinking enhancing predictive parameters in acquiring best results in academics for Higher Education Institutions (HEIs) in India: an computerized analytical modeling using WEKA. (2024). International Journal of Engineering Research, 2(4), 1-12. https://doi.org/10.61705/6bs5jf61