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Z ALPHA MULTIDISCIPLINARY RESEARCH JOURNAL (ZAMRJ)

e-ISSN: 3139-0846

ZAMRJ, Vol. 2, Issue 1, 2026 (Regular Issue)

Survey on Learning Models Using Artificial Intelligence and Its Impact and Implications

Article Type: Review Article

Article History: Received: 13-Mar-2026; Revised: 12-Apr-2026; Accepted: 20-Apr-2026; Published Online: 06-Jun-2026

Authors: Poonggazhal TTK a* | Shahanaz Begum a

a Department of Computer Science Engineering, MIET Engineering College, Tamil Nadu, India.

* Author for Correspondence Email: ttkgazhal@gmail.com

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in higher education, supporting personalized learning, adaptive instruction, automated assessment, and intelligent academic assistance. This survey paper presents a critical review of AI-based learning models and examines their impact and implications in higher education. Using a structured literature review approach, recent studies were analyzed to identify key applications, research trends, and major methodological limitations. The review reveals that while AI-based learning systems offer significant benefits in improving learning efficiency, student engagement, and educational accessibility, many existing studies remain limited by narrow sample sizes, lack of strong empirical evidence, limited practical implementation, and insufficient long-term outcome analysis. The study also highlights important concerns related to privacy, bias, academic integrity, and excessive reliance on AI-generated content. Based on these findings, the paper outlines practical recommendations for future research, including broader and more diverse sampling, longitudinal evaluation, multimodal AI integration, and ethically responsible educational adoption. Overall, this study provides a useful reference for researchers and educators by summarizing the current state, challenges, and future directions of AI-enabled learning models in higher education.

Keywords: Artificial Intelligence, AI-based Learning Models, Higher Education, Educational Technology, Generative AI in Education, Adaptive Learning Systems, AI in Teaching and Learning.

How to Cite this Article: Poonggazhal, T. T. K., & Begum, S. (2026). Survey on learning models using artificial intelligence and its impact and implications. Z Alpha Multidisciplinary Research Journal, 2(1), 1–6.

How to Cite this URL: Poonggazhal, T. T. K., & Begum, S. (2026). Survey on learning models using artificial intelligence and its impact and implications. Z Alpha Multidisciplinary Research Journal, 2(1), 1–6. Available from: https://www.zalpharph.in/volume2%20issue1/ZAMRJ7.pdf

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