Transforming Decision-Making in Generation Z Education: A Systematic and Bibliometric Review of Artificial Intelligence

Sushil Kumar Sahoo; Supriya  Sahu; Bibhuti Bhusan  Choudhury; Prasant Ranjan Dhal; Ipsita Dhar

Authors

Sushil Kumar Sahoo Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, 759146, India Author https://orcid.org/0000-0002-8551-7353
Supriya Sahu Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang 759146, Odisha, India Author https://orcid.org/0000-0002-1823-9568
Bibhuti Bhusan Choudhury Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang 759146, Odisha, India Author https://orcid.org/0000-0002-2990-3911
Prasant Ranjan Dhal Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang 759146, Odisha, India Author https://orcid.org/0000-0002-7402-2187
Ipsita Dhar Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang 759146, Odisha, India Author https://orcid.org/0009-0007-4086-8137

Keywords:

Artificial Intelligence, Generation Z, Decision Support Systems, Adaptive Learning, Education

Abstract

The fast adoption of artificial intelligence (AI) in education has reshaped the learning space, particularly in reference to the generation Z learners who are very conversant with the digital technologies. This paper discusses how AI influences the decision-making process in the field of education among the Generation Z through a systematic review methodology. The Dimensions.ai database was searched thoroughly, and the results scanned include the years between 2012 and 2026. The primary search based on keywords was done and 2101 articles were located, and then filtered through inclusion and exclusion criteria. The results indicate that AI-based tools, including adaptive learning systems, intelligent tutoring systems, and decision support systems, enhance individualized learning and promote decision-making skills of the students. Nevertheless, the research also reveals such issues as over-dependence on AI, the decreased ability to independently think, and ethical aspects such as data privacy and bias in algorithms. The research also points to critical gaps in the field of study and proposes the future directions, such as the combination of AI with structured decision-making models to enhance educational performance.

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References

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