AI-powered Open and personalized education for all

Harris Wang

doi:10.1145/3789859.3794962

AI-powered Open and personalized education for all

Harris Wang

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

Abstract

This research presents a comprehensive AI-powered educational platform designed to democratize education through personalized learning pathways and open access resources. The system integrates generative AI throughout the educational lifecycle, from course development to delivery, while implementing robust role-based access control. By leveraging local AI models via Ollama, the platform ensures privacy while enabling personalized content generation, automated assessment, and adaptive learning experiences. The implementation demonstrates significant improvements in accessibility, personalization, and efficiency compared to traditional educational systems.

Original language	English
Title of host publication	ICEEL 2025 - 2025 9th International Conference on Education and E-Learning
Pages	163-168
Number of pages	6
ISBN (Electronic)	9798400722356
DOIs	https://doi.org/10.1145/3789859.3794962
Publication status	Published - 11 May 2026
Event	9th International Conference on Education and E-Learning, ICEEL 2025 - Tokyo, Japan Duration: 21 Nov 2025 → 23 Nov 2025

Publication series

Name	ICEEL 2025 - 2025 9th International Conference on Education and E-Learning

Conference

Conference	9th International Conference on Education and E-Learning, ICEEL 2025
Country/Territory	Japan
City	Tokyo
Period	21/11/25 → 23/11/25

Keywords

AI in education
adaptive learning
educational technology
generative AI
personalized learning
role-based access control

Access to Document

10.1145/3789859.3794962

Cite this

@inproceedings{01349c67ed544566b5b4c09a831b8b2a,

title = "AI-powered Open and personalized education for all",

abstract = "This research presents a comprehensive AI-powered educational platform designed to democratize education through personalized learning pathways and open access resources. The system integrates generative AI throughout the educational lifecycle, from course development to delivery, while implementing robust role-based access control. By leveraging local AI models via Ollama, the platform ensures privacy while enabling personalized content generation, automated assessment, and adaptive learning experiences. The implementation demonstrates significant improvements in accessibility, personalization, and efficiency compared to traditional educational systems.",

keywords = "AI in education, adaptive learning, educational technology, generative AI, personalized learning, role-based access control",

author = "Harris Wang",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 9th International Conference on Education and E-Learning, ICEEL 2025 ; Conference date: 21-11-2025 Through 23-11-2025",

year = "2026",

month = may,

day = "11",

doi = "10.1145/3789859.3794962",

language = "English",

series = "ICEEL 2025 - 2025 9th International Conference on Education and E-Learning",

pages = "163--168",

booktitle = "ICEEL 2025 - 2025 9th International Conference on Education and E-Learning",

}

TY - GEN

T1 - AI-powered Open and personalized education for all

AU - Wang, Harris

PY - 2026/5/11

Y1 - 2026/5/11

N2 - This research presents a comprehensive AI-powered educational platform designed to democratize education through personalized learning pathways and open access resources. The system integrates generative AI throughout the educational lifecycle, from course development to delivery, while implementing robust role-based access control. By leveraging local AI models via Ollama, the platform ensures privacy while enabling personalized content generation, automated assessment, and adaptive learning experiences. The implementation demonstrates significant improvements in accessibility, personalization, and efficiency compared to traditional educational systems.

AB - This research presents a comprehensive AI-powered educational platform designed to democratize education through personalized learning pathways and open access resources. The system integrates generative AI throughout the educational lifecycle, from course development to delivery, while implementing robust role-based access control. By leveraging local AI models via Ollama, the platform ensures privacy while enabling personalized content generation, automated assessment, and adaptive learning experiences. The implementation demonstrates significant improvements in accessibility, personalization, and efficiency compared to traditional educational systems.

KW - AI in education

KW - adaptive learning

KW - educational technology

KW - generative AI

KW - personalized learning

KW - role-based access control

UR - https://www.scopus.com/pages/publications/105039527543

U2 - 10.1145/3789859.3794962

DO - 10.1145/3789859.3794962

M3 - Published Conference contribution

AN - SCOPUS:105039527543

T3 - ICEEL 2025 - 2025 9th International Conference on Education and E-Learning

SP - 163

EP - 168

BT - ICEEL 2025 - 2025 9th International Conference on Education and E-Learning

T2 - 9th International Conference on Education and E-Learning, ICEEL 2025

Y2 - 21 November 2025 through 23 November 2025

ER -

AI-powered Open and personalized education for all

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this