Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment

Year : 2025 | Volume : 12 | Issue : 01 | Page :
    By

    Dimpal Dewasi,

  • Nilay Patil,

  • Pranay Mhatre,

  • Sharayu Patil,

  1. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology [iMEET], Khalapur, Raigad, Maharashtra, India
  2. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology [iMEET], Khalapur, Raigad, Maharashtra, India
  3. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology [iMEET], Khalapur, Raigad, Maharashtra, India
  4. Assistant Professor, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology [iMEET], Khalapur, Raigad, Maharashtra, India

Abstract

This paper discusses the impact of adaptive learning on the development of skill and self-learning, and it portrays a methodology framework to design an adaptive learning system that works with industry recruitment objectives. The paper distinguishes different approaches to learning, namely teacher-centric and student-centric, rigid and adaptive, competitive and collaborative, and explains that each learner has their own learning style, preference, and level of knowledge and skill acquisition. The paper will emphasize the importance of adaptive learning for providing personalized and efficient learning experiences suited to the learner’s needs. It will further emphasize social aspects in improving learning, and this includes collaborative learning. It finds that the methods of learning remain teacher-centric; hence, this paper aims at strategies that promote a more student-centric and adaptive model of learning. Several adaptive learning models are discussed: Visual, Auditory, Reading/Writing, Kinesthetic (VARK), Dreyfus Model of Skill Acquisition (Dreyfus & Dreyfus), and Adult High-Order Learning Model (AHAM). The paper explores how the learning path can be aligned with industry training processes to ensure the learning is relevant to industry standards and recruitment requirements. In conclusion, this paper proposes an all-inclusive Learning Management System (LMS), which will include learning paths well-defined, real-time tracking of the progress, and adaptive learning, with collaborative tools to make the learning process effective and industry-aligned.

Keywords: Learning management systems, adaptivity, VARK model, Dreyfus model, AHAM model, cognitive development

[This article belongs to Journal of Software Engineering Tools & Technology Trends ]

How to cite this article:
Dimpal Dewasi, Nilay Patil, Pranay Mhatre, Sharayu Patil. Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment. Journal of Software Engineering Tools & Technology Trends. 2025; 12(01):-.
How to cite this URL:
Dimpal Dewasi, Nilay Patil, Pranay Mhatre, Sharayu Patil. Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment. Journal of Software Engineering Tools & Technology Trends. 2025; 12(01):-. Available from: https://journals.stmjournals.com/josettt/article=2025/view=203816


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Regular Issue Subscription Original Research
Volume 12
Issue 01
Received 01/02/2025
Accepted 07/02/2025
Published 18/03/2025
Publication Time 45 Days
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