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Comprehensive Review of Intelligent Generative AI based Predictive Systems for Personalized Academic Pathway Recommendation

by Devendra Singh Kushwaha, Sharda Baviskar, Ahmed Shaikh, Prachi Raibole, Samarth Kunde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 142
Year of Publication: 2026
Authors: Devendra Singh Kushwaha, Sharda Baviskar, Ahmed Shaikh, Prachi Raibole, Samarth Kunde
10.5120/ijcaff64d221960c

Devendra Singh Kushwaha, Sharda Baviskar, Ahmed Shaikh, Prachi Raibole, Samarth Kunde . Comprehensive Review of Intelligent Generative AI based Predictive Systems for Personalized Academic Pathway Recommendation. International Journal of Computer Applications. 187, 142 ( Sep 2026), 57-61. DOI=10.5120/ijcaff64d221960c

@article{ 10.5120/ijcaff64d221960c,
author = { Devendra Singh Kushwaha, Sharda Baviskar, Ahmed Shaikh, Prachi Raibole, Samarth Kunde },
title = { Comprehensive Review of Intelligent Generative AI based Predictive Systems for Personalized Academic Pathway Recommendation },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2026 },
volume = { 187 },
number = { 142 },
month = { Sep },
year = { 2026 },
issn = { 0975-8887 },
pages = { 57-61 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number142/comprehensive-review-of-intelligent-generative-ai-based-predictive-systems-for-personalized-academic-pathway-recommendation/ },
doi = { 10.5120/ijcaff64d221960c },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-09-19T02:57:29.530615+05:30
%A Devendra Singh Kushwaha
%A Sharda Baviskar
%A Ahmed Shaikh
%A Prachi Raibole
%A Samarth Kunde
%T Comprehensive Review of Intelligent Generative AI based Predictive Systems for Personalized Academic Pathway Recommendation
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 142
%P 57-61
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

University learning management systems often fail to offer guidance that directly targets exactly what a student struggles with. Most platforms use rigid rules or just look at past grades, which rarely creates a truly personal learning path. More importantly, these systems rarely step in with immediate help when a student gets stuck. This study reviews recent work in artificial intelligence, Generative AI (Gen AI), reinforcement learning, and large language models related to building academic pathway tools. A conceptual architecture is then proposed: an Intelligent Gen AI Based Predictive System for Personalized Academic Pathway Recommendation. The framework uses interactive diagnostic mini quizzes for domain specific evaluation, automatically detects skill weaknesses, and uses a generative pathway engine with interactive flaw resolution mechanics to actively fix learning gaps. The review also ex amines the underlying optimization tools needed for this, such as Proximal Policy Optimization for RLHF and ε differential privacy. Drawing from current research, the goal is to lay a practical, technically precise foundation for the next generation of personalized education.

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Index Terms

Computer Science
Information Sciences

Keywords

Generative AI Personalized Learning Academic Pathway Recommendation Adaptive Quizzing Flaw Remediation

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