GRADUATE ATTRIBUTES IN HIGHER EDUCATION: A COMPARATIVE STUDY OF BANGLADESH, INDONESIA, MALAYSIA, AND PAKISTAN.

  • Published In: Gomal University Journal of Research, 2024, v. 40, n. 4. P. 477 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Khokhar, Ashar Johnson 3 of 3

Abstract

This study explores evolving landscape of higher education in Bangladesh, Indonesia, Malaysia and Pakistan, emphasizing graduate attributes necessary for the success in the 21st-century workforce. The higher education policy documents were analyzed using the qualitative content analysis method and the themes were derived from developed countries' higher education documents. The analysis of documents analyzed in this study revealed that all the skills identified in higher education policy document of developed world were also the focus of higher education plans and these plans asked the universities to offer the programmes that prepare graduates who can thrive in multicultural, technology-driven environments while addressing local and global challenges, creating and strengthening the indigenous knowledge, employable and lifelong learning skills, intercultural adaptability, critical thinking, communication skills, ethical awareness, and adaptability. The analysis offered significant indormation in reaching the conclusion and making the suitable decesions about the phenomena under consideration. Moreover, this study recommends continuous evaluation of educational programmes to ensure the alignment with emerging trends as well as the development of the comprehensive frameworks for assessing the policy implementation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Gomal University Journal of Research. 2024/12, Vol. 40, Issue 4, p477
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:1019-8180
  • DOI:10.51380/gujr-40-04-07
  • Accession Number:182325334
  • Copyright Statement:Copyright of Gomal University Journal of Research is the property of Knowledge Bylanes and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.