Vocational education and lifelong learning: Preparing a skilled workforce for the future
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.24Keywords:
Vocational education, Job requirements, Career advancement, Lifelong learning, Enhancing employability.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In an era characterized by rapid technological advancements and shifting economic landscapes, vocational education and lifelong learning have emerged as crucial components in preparing a skilled workforce for the future. This paper explores the evolving role of vocational education in equipping individuals with practical skills and competencies that align with the demands of modern industries. It also examines the significance of lifelong learning as a continuous process that enables individuals to adapt to changing job requirements and pursue career advancement. By analyzing the intersection of vocational education and lifelong learning, the paper highlights the importance of a flexible and dynamic education system that supports the development of a workforce capable of thriving in a rapidly evolving global economy. Furthermore, it discusses the challenges and opportunities associated with integrating these educational paradigms into existing systems, emphasizing the need for policies and initiatives that foster collaboration between educational institutions, industries, and governments. The findings underscore the pivotal role of vocational education and lifelong learning in fostering innovation, enhancing employability, and ensuring sustainable economic growth.Abstract
How to Cite
Downloads
Similar Articles
- Pallavi M. Shimpi, Nitin N. Pise, Comparative Analysis of Machine Learning Algorithms for Malware Detection in Android Ecosystems , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Temesgen A. Asfaw, Deep learning hyperparameter’s impact on potato disease detection , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Hema Khanna, Poonam Singh, Seema Rani Sarraf, Shikha Gola, STRESS AND JOB SATISFACTION IN EMPLOYEES WITH TYPE- A AND TYPE- B PERSONALITY , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Geetha Satish Pisharody, Sanjay Gupta, Understanding Resilience: An Analytical Study of Adversity Quotient Levels Among Higher Secondary Learners in Gujarat State , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- S Rehan Ahmad, KDV Prasad, Seema Bhakuni, Amit Hedau, P B Shankar Narayan, P Parameswari, The role and relation of emotional intelligence with work-life balance for working women in job stress , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Ganga Gudi, Mallamma V Reddy, Hanumanthappa M, Enhancing Kannada text-to-speech and braille conversion with deep learning for the visually impaired , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

