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SHORT REVIEW ON APPLICATIONS OF ADAPTIVE AND PERSONALISED LEARNING IN ENGINEERING EDUCATION.

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Title: SHORT REVIEW ON APPLICATIONS OF ADAPTIVE AND PERSONALISED LEARNING IN ENGINEERING EDUCATION.
Authors: Azman, Muhammad Amin1 amin.azman@upm.edu.my, Azizi, Muhammad Azim1, Azman, Abdul Hadi2,3
Source: ASEAN Journal of Teaching & Learning in Higher Education. Dec2025, Vol. 17 Issue 1, p58-71. 14p.
Subject Terms: *Engineering education, *Student engagement, *Self-regulated learning, *Intelligent tutoring systems, *Individualized instruction, *Assessment for learning (Teaching model), *Interdisciplinary research, *Instructional systems
Abstract: Adaptive and personalized learning are improving engineering education by addressing the shortcomings of traditional, uniform teaching methods. Leveraging technologies such as AI, learning analytics, and real-time feedback, these approaches customize content to match each student's pace, strengths, and needs. This enhances engagement, retention, and mastery of complex technical concepts. Tools like adaptive platforms, tagging systems, and digital portfolios foster autonomy and self-regulated learning. Studies across various engineering fields show improved motivation, understanding, and performance when students learn through personalized, interactive systems. As industry demands evolve, adaptive learning prepares students for interdisciplinary careers and aligns education with modern technological and professional needs. [ABSTRACT FROM AUTHOR]
Copyright of ASEAN Journal of Teaching & Learning in Higher Education is the property of ASEAN Journal of Teaching & Learning in Higher Education 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.)
Database: Education Research Complete
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  Data: SHORT REVIEW ON APPLICATIONS OF ADAPTIVE AND PERSONALISED LEARNING IN ENGINEERING EDUCATION.
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  Data: <searchLink fieldCode="AR" term="%22Azman%2C+Muhammad+Amin%22">Azman, Muhammad Amin</searchLink><relatesTo>1</relatesTo><i> amin.azman@upm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Azizi%2C+Muhammad+Azim%22">Azizi, Muhammad Azim</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Azman%2C+Abdul+Hadi%22">Azman, Abdul Hadi</searchLink><relatesTo>2,3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22ASEAN+Journal+of+Teaching+%26+Learning+in+Higher+Education%22">ASEAN Journal of Teaching & Learning in Higher Education</searchLink>. Dec2025, Vol. 17 Issue 1, p58-71. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Self-regulated+learning%22">Self-regulated learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligent+tutoring+systems%22">Intelligent tutoring systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Assessment+for+learning+%28Teaching+model%29%22">Assessment for learning (Teaching model)</searchLink><br />*<searchLink fieldCode="DE" term="%22Interdisciplinary+research%22">Interdisciplinary research</searchLink><br />*<searchLink fieldCode="DE" term="%22Instructional+systems%22">Instructional systems</searchLink>
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  Data: Adaptive and personalized learning are improving engineering education by addressing the shortcomings of traditional, uniform teaching methods. Leveraging technologies such as AI, learning analytics, and real-time feedback, these approaches customize content to match each student's pace, strengths, and needs. This enhances engagement, retention, and mastery of complex technical concepts. Tools like adaptive platforms, tagging systems, and digital portfolios foster autonomy and self-regulated learning. Studies across various engineering fields show improved motivation, understanding, and performance when students learn through personalized, interactive systems. As industry demands evolve, adaptive learning prepares students for interdisciplinary careers and aligns education with modern technological and professional needs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of ASEAN Journal of Teaching & Learning in Higher Education is the property of ASEAN Journal of Teaching & Learning in Higher Education 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.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=190839726
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        Value: 10.17576/ajtlhe.1701.2025.06
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Student engagement
        Type: general
      – SubjectFull: Self-regulated learning
        Type: general
      – SubjectFull: Intelligent tutoring systems
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      – SubjectFull: Individualized instruction
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      – SubjectFull: Assessment for learning (Teaching model)
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      – SubjectFull: Interdisciplinary research
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      – SubjectFull: Instructional systems
        Type: general
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      – TitleFull: SHORT REVIEW ON APPLICATIONS OF ADAPTIVE AND PERSONALISED LEARNING IN ENGINEERING EDUCATION.
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              M: 12
              Text: Dec2025
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