Malaysia–Global Industrial Linkages: lifelong learning lessons from Xi’an Muslim Street

Jamal, Siti Norazura and Zulkifliz, Nordayana and Mohamad, Masilah and Mohd Aris, Aslizah and Ibrahim, Muhammad Aidil (2025) Malaysia–Global Industrial Linkages: lifelong learning lessons from Xi’an Muslim Street. Bulletin. Universiti Teknologi MARA, Negeri Sembilan.

Abstract

Malaysia is committed to strengthening global industrial linkages through collaborations, industry visits, and cultural exchanges. The recent Malaysia–Global Industrial Linkages trip to Xi’an, China, transformed from a formal mission into a valuable lifelong learning experience. Similar to the AURORA Collective Team (Alliance for Unified Research in Organization, Regulation, and Applied Biosciences) delegation from UiTM Negeri Sembilan, they also view Xi’an’s Muslim Street as a living classroom and a platform to learn valuable lessons. The street reveals lessons in history, culture, and entrepreneurship, showing that learning continues beyond formal education.

Metadata

Item Type: Monograph (Bulletin)
Creators:
Creators
Email / ID Num.
Jamal, Siti Norazura
UNSPECIFIED
Zulkifliz, Nordayana
UNSPECIFIED
Mohamad, Masilah
UNSPECIFIED
Mohd Aris, Aslizah
UNSPECIFIED
Ibrahim, Muhammad Aidil
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Teaching (Principles and practice) > Study and study environments. Supervised study
L Education > LB Theory and practice of education > Learning. Learning strategies
L Education > LB Theory and practice of education > Education and training of teachers and administrators > Observation (Educational methods)
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Journal or Publication Title: Buletin APB Edisi 15
ISSN: 2682-7948
Keywords: Lifelong learning, cultural exchange, entrepreneurship, global collaboration
Date: October 2025
URI: https://ir.uitm.edu.my/id/eprint/128022
Edit Item
Edit Item

Download

[thumbnail of 128022.pdf] Text
128022.pdf

Download (3MB)

ID Number

128022

Indexing

Statistic

Statistic details