Personalised Learning in The Digital Age: Exploring The Role of Technology in Tailoring Education to Individual Student's Needs.

Personalized learning in the digital age has transformed education by leveraging technology to cater to individual students’ needs. Traditional education systems often adopt a one-size-fits-all approach, which may not address the diverse learning styles, paces, and preferences of students. Digital tools such as artificial intelligence (AI), adaptive learning platforms, and data analytics are now enabling educators to customize learning experiences. These technologies facilitate real-time feedback, differentiated instruction, and student-centered learning pathways, fostering engagement and improved outcomes. Additionally, personalized learning enhances accessibility by providing tailored resources for students with disabilities and learning challenges. However, the integration of technology in education presents challenges, including concerns over data privacy, the digital divide, and the need for teacher training. Despite these challenges, the potential benefits of technology-driven personalized learning are vast, enabling students to take ownership of their learning journey.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15341827
Primary Topic
Disability Education and Employment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Personalised Learning in The Digital Age: Exploring The Role of Technology in Tailoring Education to Individual Student's Needs.

Zenodo (CERN European Organization for Nuclear Research)
Disability Education and Employment
article

Personalised Learning in The Digital Age: Exploring The Role of Technology in Tailoring Education to Individual Student's Needs.

article en

Abstract

Personalized learning in the digital age has transformed education by leveraging technology to cater to individual students’ needs. Traditional education systems often adopt a one-size-fits-all approach, which may not address the diverse learning styles, paces, and preferences of students. Digital tools such as artificial intelligence (AI), adaptive learning platforms, and data analytics are now enabling educators to customize learning experiences. These technologies facilitate real-time feedback, differentiated instruction, and student-centered learning pathways, fostering engagement and improved outcomes. Additionally, personalized learning enhances accessibility by providing tailored resources for students with disabilities and learning challenges. However, the integration of technology in education presents challenges, including concerns over data privacy, the digital divide, and the need for teacher training. Despite these challenges, the potential benefits of technology-driven personalized learning are vast, enabling students to take ownership of their learning journey.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 56%
Disability Education and Employment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.