• Aritra Saha
• Somerita Banerjee

In this digital age, aspects of learning and evaluating have also taken the digital route. Various techniques exist for evaluating the response from a learner, most common among them being MCQ (multiple choice questions) using OMR (Optical Mark Reader) sheets for a rapid turnaround. But there have been several arguments against such testing systems, citing reasons such as they lack the ability for testing complete knowledge, or that they can be beaten with some intelligent guess work. Bottom line of all these arguments being the lack of an expert human evaluator who can use the discretionary powers of the trained mind to weed out inadvertent mistakes of the learner while being able to identify the lack of knowledge.This paper aims to propose an effective scheme for smart identification of learners’ text-based response in an e-Learning environment. In this paper, we present an intelligently adaptive mechanism which accepts single-word textual response typed-in by the learner during their interaction with the e-learning system. The system then attempts to mimic the intelligence and discretion of a benevolent human evaluator who understands the difference between lack of knowledge and unintentional mistakes that might be committed by the learner while responding to the system’s queries. We want to model an automated text response evaluator that can emulate human benevolence and judge if the learner is in a state of knowledge or ignorance.

e-Learning, Information Retrieval, Formal Language, Fuzzy Automata, Fuzzy Logic, Spell Check, Spelling Errors.

"Benevolent Fuzzy Text Response Evaluator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.491-500, February-2019, Available :http://www.jetir.org/papers/JETIR1902172.pdf

"Benevolent Fuzzy Text Response Evaluator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp491-500, February-2019, Available at : http://www.jetir.org/papers/JETIR1902172.pdf