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EVALUATING HUMAN VS AI FEEDBACK ON STUDENTS’ PERFORMANCE; A COMPARATIVE ANALYSIS OF STUDENTS AT INTERMEDIATE LEVEL


Article Information

Title: EVALUATING HUMAN VS AI FEEDBACK ON STUDENTS’ PERFORMANCE; A COMPARATIVE ANALYSIS OF STUDENTS AT INTERMEDIATE LEVEL

Authors: Khansa Ramzan, Asma Batool, Muhammad Farukh Arslan, Hira Fatima

Journal: Journal of Applied Linguistics and TESOL

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31

Publisher: Student Consultancy Home (R)

Country: Pakistan

Year: 2025

Volume: 8

Issue: 1

Language: en

Categories

Abstract

This research scrutinizes the comparative effectiveness of the evaluation of the feedbacks of AI vs human regarding students’ performance at the intermediate level in Pakistan. The implication of AI technologies has become the crucial part of all education institutions all over the world. The studies revolve around the concept that how AI generated feedbacks which are quick, limited data based and tailored according to the provided data are compared with the human generated feedbacks which are emotionally and contextually driven. This research is quantitative based on the collection and evaluation of the data from the students of intermediate level. The research will highlight the objectivity of AI with lack of emotional and motivational by AI and provided by humans. Students are often inclined towards the use of AI due to its fast response. Through this research, a potential for the hybrid approach including the feedbacks from both resources is more appreciated. Ultimately, this research will highlight that how the incorporation of the AI in the modern education can be effectively utilized alongside the traditional educational means.


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