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AI-Powered EdTech: Innovations, Challenges, and Future Directions—A Systematic Literature Review

by Sunil Medepalli
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 80
Year of Publication: 2026
Authors: Sunil Medepalli
10.5120/ijca2026926379

Sunil Medepalli . AI-Powered EdTech: Innovations, Challenges, and Future Directions—A Systematic Literature Review. International Journal of Computer Applications. 187, 80 ( Feb 2026), 26-30. DOI=10.5120/ijca2026926379

@article{ 10.5120/ijca2026926379,
author = { Sunil Medepalli },
title = { AI-Powered EdTech: Innovations, Challenges, and Future Directions—A Systematic Literature Review },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2026 },
volume = { 187 },
number = { 80 },
month = { Feb },
year = { 2026 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number80/ai-powered-edtech-innovations-challenges-and-future-directionsa-systematic-literature-review/ },
doi = { 10.5120/ijca2026926379 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-02-21T01:27:55.329200+05:30
%A Sunil Medepalli
%T AI-Powered EdTech: Innovations, Challenges, and Future Directions—A Systematic Literature Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 80
%P 26-30
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial Intelligence (AI) is rapidly transforming educational technology (EdTech) by enabling personalized learning, automated assessment, and enhanced student engagement. This systematic literature review (SLR), based on 50 peer-reviewed studies (2018–2025) from Scopus, ERIC, and IEEE Xplore, addresses three research questions: How is AI reshaping education (RQ1)? What barriers hinder implementation (RQ2)? And what future directions emerge (RQ3)? Key findings reveal adaptive systems increase engagement by 18–25% [2] and reduce dropout rates by 28% [27], yet challenges persist, including data breaches affecting 8.5 million records in the past 18 months [30] and equity gaps impacting 70% of under-resourced institutions [36]. To address these, this review proposes a novel five-layer ethical framework (policy guardrails, intelligent personalization, automated grading, teacher upskilling, and equity audits), validated through UNESCO and EDUCAUSE pilots [9], [35]. The framework provides actionable guidance for educators, administrators, and policymakers to develop equitable, intelligent EdTech ecosystems.

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Index Terms

Computer Science
Information Sciences

Keywords

EdTech · Artificial intelligence · Personalized learning · Educational innovation · AI challenges · Digital equity

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