Bipolar Neutrosophic Driven Approach for Assessing the Teaching Quality of English Language and Literature Learning Outcomes

Abstract

 The quality of teaching in English Language and Literature is a crucial factor in enhancing student 
learning outcomes, fostering critical thinking, and promoting linguistic and literary proficiency. 
Nevertheless, the procedure of assessing the quality of English teaching remains a thought-provoking task 
since it typically depends on individual judgments, variety in criteria, and inconsistency in human 
observation, resulting in intrinsic uncertainty. Bipolar Neutrosophic Sets (BNS) offer an expressive way to 
model ambiguity in a bipolar manner using three positive and three negative memberships. Motivated by 
that, we propose to explore the novel approach based on BNS to improve the judgmental process of 
evaluating the quality of teaching of Quality of English Language and related literature. To assess the 
relative importance of aggregated teaching criteria, we apply the Analytic Hierarchy Process (AHP) to drive 
representative weights that guide the later decision-making.  We drive a new weighting scheme to apply 
the AHP weights into a bipolar decision matrix. Following, we introduce multi-criteria decision-making 
(MCDM) to determine the bipolar ideal solutions in a bipolar decision matrix, and then identify the relative 
closeness teaching techniques. Based on a numerical study, we conduct a holistic analysis of the results of 
the proposed framework, which demonstrates remarkable power in making appropriate decisions about 
the best scenario English teaching approach that achieves the optimal benefit for students. 

DOI: 10.5281/zenodo.14827103