International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Integrating Cognitive Computing with Machine Learning for Big Data Analysis in Marking Digital Essay Examination

Author : Oyebola Akande ¹ Olubukola D. Adekola ² Wumi Ajayi ³ Yaw Mensah ⁴ Ayokunle Omotunde ⁵ Adesoji Adegbola ⁶ Olawale Somefun ⁷ Taiwo Adigun ⁸ Samuel Abel ⁹

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Date of Publication :19th October 2021

Abstract: Manual marking of essay type questions challenges may be voluminous answer scripts voluminous, partly subjective marking even with marking guide etc. Currently, the automated essay-marking application did not integrate cognitive models which can reduce time-consuming activities such as marking essay-type examinations. This proposed research aimed to extend the previous automated essay-marking application with cognitive-based models and use a working system to show its practicability. This research, therefore, proposed a framework on which the extension can be based. The framework incorporates inference and reasoning engine, ingestion of data from multiple heterogeneous sources and data analytics on a computer using the neuromorphic chip. Practical implementation of this will help examination bodies like West Africa Examination Council (WAEC) in marking examinations by reducing the cost of marking, reducing the rate of human error, and simplify examination logistics. The system will be evaluated with the existing automated system running on a chip based on Von Neumann Architecture

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