ISSN (O): 3048-7331Frequency: MonthlyLanguages: MultilanguageDOI Prefix: 10.70650
RVIMJ logoResearch Vidyapith International Multidisciplinary JournalInternational Open Access, Peer-reviewed & Refereed Multidisciplinary JournalISSN: 3048-7331 (Online)DOI Prefix: 10.70650

Official DOI landing page

Predictors of AI for 21st-Century Skills in Generation Z

Rani Maurya Corresponding Author

UGC- SRF, Department of B. Ed./M. Ed. (IASE), Faculty of Education & Allied Sciences, Mahatma Jyotiba Phule Rohilkhand University, Bareilly.

Associate Professor, Department of B. Ed./M. Ed. (IASE), Faculty of Education & Allied Sciences, Mahatma Jyotiba Phule Rohilkhand University, Bareilly.

JournalRVIMJ
Volume / Issue2 / 3
Pages43–59
Published11 Mar 2025
Paper IDRVIMJ23M25006
Views / Downloads1 / 1

Article summary

Abstract

This study explores the transformative role of Artificial Intelligence (AI) in enhancing 21st-century skills—critical thinking, creativity, and problem solving—among Generation Z learners. By leveraging adaptive algorithms and personalized learning systems, AI tools provide tailored educational experiences that engage students more deeply and foster higher-order cognitive skills. The research identifies key predictors of successful AI integration in education, including teacher training, digital literacy, institutional support, and student engagement. Among these, teacher training emerged as the most influential factor in ensuring effective use of AI in the classroom. The study highlights the positive impact of AI tools on developing critical thinking, creativity, and problem-solving, emphasizing the importance of human and institutional factors for maximizing their potential. The findings offer guidance for educators, policymakers, and technology developers to design AI-driven educational systems that equip Generation Z with the skills needed to thrive in a rapidly evolving world. Future research should focus on the long-term effects of AI on academic performance, inclusivity, and ethical concerns, such as data privacy and algorithmic bias.

Keywords

Artificial Intelligence21st-Century SkillsDigital LiteracyCritical ThinkingEducation Technology.

Citation record

How to cite this article

Rani Maurya, Kshama Pandey (2025). Predictors of AI for 21st-Century Skills in Generation Z. Research Vidyapith International Multidisciplinary Journal, 2(3), 43–59. https://doi.org/10.70650/rvimj.2025v2i3006

Rani Maurya, Kshama Pandey. “Predictors of AI for 21st-Century Skills in Generation Z.” Research Vidyapith International Multidisciplinary Journal, vol. 2, no. 3, 2025, pp. 43–59. https://doi.org/10.70650/rvimj.2025v2i3006

Rani Maurya, Kshama Pandey. “Predictors of AI for 21st-Century Skills in Generation Z.” Research Vidyapith International Multidisciplinary Journal 2, no. 3 (2025): 43–59. https://doi.org/10.70650/rvimj.2025v2i3006

Rani Maurya, Kshama Pandey (2025) ‘Predictors of AI for 21st-Century Skills in Generation Z’, Research Vidyapith International Multidisciplinary Journal, 2(3), pp. 43–59. Available at: https://doi.org/10.70650/rvimj.2025v2i3006.

Rani Maurya, Kshama Pandey, “Predictors of AI for 21st-Century Skills in Generation Z,” Research Vidyapith International Multidisciplinary Journal, vol. 2, no. 3, pp. 43–59, 2025. https://doi.org/10.70650/rvimj.2025v2i3006.

Rani Maurya, Kshama Pandey. Predictors of AI for 21st-Century Skills in Generation Z. Research Vidyapith International Multidisciplinary Journal. 2025;2(3):43–59. https://doi.org/10.70650/rvimj.2025v2i3006.

Rani Maurya, Kshama Pandey. Predictors of AI for 21st-Century Skills in Generation Z. Research Vidyapith International Multidisciplinary Journal 2025, 2 (3), 43–59. https://doi.org/10.70650/rvimj.2025v2i3006.

Record provenance

Publication history

Published11 Mar 2025
Record versionVersion of Record

Research integrity

Declarations

Funding

No separate funding declaration was available in the verified source record; the journal policy applies.

Conflict of Interest

No separate conflict-of-interest declaration was available in the verified source record; the journal policy applies.

Ethical Approval

No separate ethical approval statement was available in the verified source record; the article and journal policies apply.

Data Availability

No separate data-availability statement was available in the verified source record; contact the author(s) or editorial office where appropriate.

Author Contributions

No separate author-contribution statement was available in the verified source record; authorship follows the published article record.

AI-use Declaration

No separate AI-use declaration was available in the verified source record; the journal AI-use policy applies.

Editorial record

Publisher's Note

The views, opinions and conclusions expressed in this article are those of the author(s). Publication does not imply endorsement by the journal, editorial board or publisher. Responsibility for accuracy, originality and integrity remains with the author(s). Readers should independently evaluate and verify information before application or citation.

Open-access terms

License & Copyright

Copyright © 2025 Author(s). This work is published by Research Vidyapith International Multidisciplinary Journal under the Creative Commons Attribution-NonCommercial 4.0 International. Authors retain copyright and grant the journal the right of first publication.

Discover more

Related articles