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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July 2023, Volume 38 Issue 3
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Abstract
The research paper investigates the possibilities of self-directed learning (SDL) as a sustainable framework for expanding the impact of education. The study posit that conventional, teacher-centered educational approaches are constrained in their ability to engage and make a lasting impression on numerous learners. In contrast, SDL empowers individuals to assume responsibility for their own learning journey and devise personalized pathways. The study examines the fundamental principles and characteristics inherent in SDL, while citing real-life examples across diverse contexts such as formal education, workforce development, and community-based learning initiatives. Ultimately, the study assert that SDL holds immense potential as a catalyst for broadening access to education and fostering lifelong learning opportunities with longevity intact.
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