Authors :
Anupama Joy; Hridya P K; Ivin Shaju; Jyothis Mol K J; Sandra U A; Saniya Sabu; Serin S; Shadiya C A; Sreesha I; Steena Sojan; Sr. Soniya Sebastian; Sr. Sindu Jose; Sr. Lucy K M
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/2vxwuwpm
Scribd :
https://tinyurl.com/yc8jetuw
DOI :
https://doi.org/10.38124/ijisrt/25jul1283
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Abstract :
This research aimed to assess and compare the level of literacy on artificial intelligence among college students in
selected colleges of Kannur District. The objectives of the study were to evaluate the level of literacy on artificial intelligence
among students, to compare literacy levels between nursing and paramedical students, and to identify any association
between literacy levels and selected demographic variables. A non-experimental descriptive comparative design was used,
involving 200 undergraduate students selected through purposive sampling—100 from Canossa College of Nursing and 100
from Crescent College of Pharmaceutical Science. Data collection was carried out using a structured questionnaire and
analyzed through descriptive and inferential statistics. The findings revealed that the majority of students were between the
ages of eighteen to twenty years and predominantly female. Most students resided in urban areas, and a considerable portion
had previous knowledge about artificial intelligence. The study concluded that nursing students demonstrated a higher level
of literacy on artificial intelligence compared to paramedical students. Furthermore, a significant association was found
between literacy levels and factors such as age, mother’s education, and previous knowledge. The findings highlight the
growing need for educational institutions to enhance AI literacy among college students to prepare them for an increasingly
technology-driven world.
Keywords :
Artificial intelligence, AI Literacy, Meta AI Literacy Scale (MAILS).
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This research aimed to assess and compare the level of literacy on artificial intelligence among college students in
selected colleges of Kannur District. The objectives of the study were to evaluate the level of literacy on artificial intelligence
among students, to compare literacy levels between nursing and paramedical students, and to identify any association
between literacy levels and selected demographic variables. A non-experimental descriptive comparative design was used,
involving 200 undergraduate students selected through purposive sampling—100 from Canossa College of Nursing and 100
from Crescent College of Pharmaceutical Science. Data collection was carried out using a structured questionnaire and
analyzed through descriptive and inferential statistics. The findings revealed that the majority of students were between the
ages of eighteen to twenty years and predominantly female. Most students resided in urban areas, and a considerable portion
had previous knowledge about artificial intelligence. The study concluded that nursing students demonstrated a higher level
of literacy on artificial intelligence compared to paramedical students. Furthermore, a significant association was found
between literacy levels and factors such as age, mother’s education, and previous knowledge. The findings highlight the
growing need for educational institutions to enhance AI literacy among college students to prepare them for an increasingly
technology-driven world.
Keywords :
Artificial intelligence, AI Literacy, Meta AI Literacy Scale (MAILS).