American Journal of Advanced Multidisciplinary Research and Innovation

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Innovative Educational Technologies for Personalised and Adaptive Learning

Author(s) Rebecca M. Henderson
Country United States
Abstract The rapid advancement of digital technologies has fundamentally transformed modern education by enabling personalised, adaptive, and learner-centred instructional approaches. Traditional education systems often struggle to accommodate diverse learning styles, individual learning paces, varying cognitive abilities, and evolving workforce requirements. Consequently, Innovative Educational Technologies (EdTech) integrating Artificial Intelligence (AI), Machine Learning (ML), Learning Analytics, Adaptive Learning Systems, Intelligent Tutoring Systems (ITS), Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR), Big Data Analytics, Cloud Computing, Internet of Things (IoT), Blockchain, and Generative Artificial Intelligence (GenAI) have emerged as powerful solutions for delivering customised learning experiences, improving student engagement, and enhancing educational outcomes.
This study presents a comprehensive analysis of Innovative Educational Technologies for Personalised and Adaptive Learning. A qualitative analytical research methodology based on secondary data is employed to investigate AI-powered learning platforms, adaptive assessment systems, intelligent tutoring, immersive learning environments, learning analytics, and digital education ecosystems. The research evaluates how emerging educational technologies improve learning effectiveness, academic performance, accessibility, student engagement, teacher support, and institutional efficiency across multidisciplinary educational settings.
The findings indicate that AI-driven adaptive learning systems significantly enhance personalised instruction through intelligent content recommendation, real-time performance monitoring, predictive learning analytics, automated assessment, and adaptive curriculum design. Virtual and Augmented Reality provide immersive learning experiences that improve conceptual understanding, while blockchain supports secure credential management and academic record verification. Cloud computing enables scalable digital learning environments, and learning analytics assists educators in identifying at-risk learners and optimising instructional strategies.
Despite these opportunities, challenges remain concerning digital equity, cybersecurity, learner privacy, algorithmic bias, technological infrastructure, educator readiness, ethical AI deployment, and regulatory compliance. Future research should investigate explainable educational AI, federated learning for educational analytics, AI-driven digital learning twins, quantum-assisted personalised learning, and lifelong adaptive learning ecosystems.
The study concludes that innovative educational technologies provide a multidisciplinary foundation for developing intelligent, inclusive, adaptive, and sustainable education systems capable of supporting future learning environments and global knowledge societies.
Keywords Educational Technology, Personalised Learning, Adaptive Learning, Artificial Intelligence, Intelligent Tutoring Systems, Learning Analytics, Virtual Reality, Blockchain, Digital Education, Smart Learning.
Field Engineering
Published In Volume 2, Issue 2, March-April 2020
Published On 2020-03-18
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AJAMRI
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@ajamri.com