Intelligent and Personalized Vocational Education: Applications and Strategies

The objective of this study is to examine the potential of advanced technological solutions for the implementation of intelligent and personalized vocational education. This paper examines the integration of artificial intelligence, big data, and mixed reality technologies within the context of vocational education. The study puts forth a series of concrete implementation strategies and presents a number of case studies to illustrate the practical applications of these strategies. Furthermore, the paper assesses the influence of these technologies on the enhancement of pedagogical quality and the optimization of the student learning experience. The findings suggest that the utilisation of these advanced technologies can markedly enhance the efficacy and personalisation of vocational training programmes.

Authors

Institutions

Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00106
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent and Personalized Vocational Education: Applications and Strategies

Mei Liu, Jiang Xue, Peiyu Liu, Ran Lu
Engineering Education and Technology
article

Intelligent and Personalized Vocational Education: Applications and Strategies

Mei Liu, Jiang Xue, Peiyu Liu, Ran Lu
article en

Abstract

The objective of this study is to examine the potential of advanced technological solutions for the implementation of intelligent and personalized vocational education. This paper examines the integration of artificial intelligence, big data, and mixed reality technologies within the context of vocational education. The study puts forth a series of concrete implementation strategies and presents a number of case studies to illustrate the practical applications of these strategies. Furthermore, the paper assesses the influence of these technologies on the enhancement of pedagogical quality and the optimization of the student learning experience. The findings suggest that the utilisation of these advanced technologies can markedly enhance the efficacy and personalisation of vocational training programmes.

Shandong Normal University (CN)
Openalex Percentile: Top 54%
Engineering Education and Technology
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.