Assessing Youth's Understanding of Artificial Intelligence Enhanced Digital Learning


Authors : Kush Patel; Smita; Khyati Trivedi; Sarjoo Patel

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/d2rjn64p

Scribd : https://tinyurl.com/y4y46tp6

DOI : https://doi.org/10.38124/ijisrt/25mar1674

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : The present study focused on assessing the knowledge of the youth regarding artificial intelligence applications used in digital learning. Further, the objective was to enhance their knowledge regarding the artificial intelligence application used in digital learning through an educational module. Descriptive research design was used for the study. The sample size for the present study was 336 youth (168 Male and 168 Females) who were using AI applications. Respondents were selected through Purposive Sampling Technique. The study was carried out from October 2023- January 2024 in Gujarat State, India. The Data was collected through a structural Questionnaire which comprised of two sections i.e. Background information of the respondents and knowledge and use of Artificial Intelligence applications used in digital learning among youth. Coefficient of correlation was computed to check the relationship between knowledge and age and independent sample t-test was applied to check the difference in the knowledge with gender (α at 0.05) level of significance.

Keywords : Artificial intelligence; Digital learning; Education; Youth

References :

  1. Alghamdi, S, A and Alashban, Y. 2023. Knowledge, attitudes and practices towards artificial intelligence (AI) among radiologists in Saudi Arabia, Journal of Radiation Research and Applied Sciences,16 (2)
  2. Dowd, M. 2020. Elon Musk, Blasting Off in Domestic Bliss. The New York Times.  (https://www.nytimes.com/2020/07/25/style/elon-musk-maureen-dowd.html).
  3. EDUCAUSE. 2018. Horizon report: 2018 higher education edition. Retrieved from EDUCAUSE Learning Initiative and The New Media Consortium. Retrieved from the website (https://library.educause.edu/~/media/files/library/2018/8/2018horizonreport.pdf) on 15.07.2024.
  4. EDUCAUSE. 2019. Horizon report: 2019 higher education edition. Retrieved from EDUCAUSE Learning Initiative and The New Media Consortium Retrieved from the website (https://library.educause.edu/-/media/files/library/2019/4/2019horizonreport.pdf) on 12.07.2024
  5. Franken, S., Mauritz, N and Wattenberg, M. 2020. Gender Differences Regarding the Perception of Artificial Intelligence. FH Bielefeld University of Applied Science.
  6. Hashimoto, D.A., Witkowski, E., Gao, L., Meireles, O and Rosman, G. 2020. Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations. Anesthesiology 132, 379–394. doi: 10.1097/ALN.0000000000002960
  7. He, J., Baxter, S.L., Xu, J., Xu, J., Zhou, X and Zhang, X. 2019. The practical implementation of artificial intelligence technologies in medicine. Nat. Med. 25, 30–36. doi: 10.1038/s41591-018-0307-0
  8. Jacob, A., Joseph, A and Harikrishnan, U. 2023. Knowledge About Artificial Intelligence Among Youth: A Cross- Sectional Online Survey. ResearchGate.https://www.researchgate.net/publication/372654990.
  9. Zawacki-Richter, O., Marín, V.I., Bond, M and Gouverneur, F., 2019. Systematic review of research on artificial intelligence applications in higher education – where are the educators?. International Journal of Educational Technology in Higher Education 16, 39. (https://doi.org/10.1186/s41239-019-0171-0)

The present study focused on assessing the knowledge of the youth regarding artificial intelligence applications used in digital learning. Further, the objective was to enhance their knowledge regarding the artificial intelligence application used in digital learning through an educational module. Descriptive research design was used for the study. The sample size for the present study was 336 youth (168 Male and 168 Females) who were using AI applications. Respondents were selected through Purposive Sampling Technique. The study was carried out from October 2023- January 2024 in Gujarat State, India. The Data was collected through a structural Questionnaire which comprised of two sections i.e. Background information of the respondents and knowledge and use of Artificial Intelligence applications used in digital learning among youth. Coefficient of correlation was computed to check the relationship between knowledge and age and independent sample t-test was applied to check the difference in the knowledge with gender (α at 0.05) level of significance.

Keywords : Artificial intelligence; Digital learning; Education; Youth

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe