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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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EMPOWERING EDUCATION: PERCEPTIONS OF UNDERGRADUATE FEMALE STUDENTS ON THE USE OF AI IN LEARNING

Authors: Dr. Kokate A. K.;

EMPOWERING EDUCATION: PERCEPTIONS OF UNDERGRADUATE FEMALE STUDENTS ON THE USE OF AI IN LEARNING

Abstract

This study explores the perceptions of undergraduate female students regarding the use of Artificial Intelligence (AI) in education, focusing on its potential to enhance learning experiences and empower academic outcomes. The research investigates students' awareness, engagement, and challenges in adopting AI-based tools, along with their perceptions of its benefits and drawbacks. A structured questionnaire was administered to a sample of 200 students from diverse academic disciplines, and data were analysed using descriptive statistics and hypothesis testing, including a t-test to identify differences across groups. Findings reveal that while students generally perceive AI as a tool that personalizes and simplifies learning, concerns about accessibility, data privacy, and over-reliance on technology persist. Significant differences in perceptions were observed across academic disciplines and levels of familiarity with AI tools. The study highlights the need for targeted initiatives to increase AI literacy and address barriers to its effective use. These insights contribute to understanding the role of AI in shaping equitable and inclusive educational practices, especially for female students in undergraduate programs.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green