Investigating the effectiveness of microlearning approaches in corporate training programs for skill enhancement

Authors

  • Ifeoluwa Oyeyipo University of Houston, Texas, USA
  • Ngozi Joan Isibor University of Fairfax, Virginia,USA
  • Verlinda Attipoe Independent Researcher, Pittsburgh, Pennsylvania, USA
  • Damilola Christiana Ayodeji Independent Researcher, USA
  • Brenda Apiyo Mayienga I&M Bank Ltd, Kenya
  • Enoch Alonge Independent Researcher, USA
  • Obianuju Clement Onwuzulike Rome Business School, Estonia, Italy

DOI:

https://doi.org/10.51594/gjabr.v2i6.122

Abstract

This review paper examines the effectiveness of microlearning in corporate training programs, focusing on its benefits, theoretical foundations, challenges, and implementation strategies. Microlearning, characterized by its delivery of content in small, focused units, addresses the limitations of traditional training methods by enhancing flexibility, accessibility, and retention rates. Theoretical frameworks such as cognitive load theory and spaced repetition underpin its efficacy in reducing cognitive overload and promoting long-term memory retention. Comparative analysis with traditional methods highlights microlearning's advantages in engaging learners through multimedia and interactive elements. Challenges, including implementation costs, technology barriers, and learner engagement issues, are discussed alongside examples illustrating successful microlearning implementations and strategies for overcoming obstacles. The implications for corporate training emphasize the potential of microlearning to transform learning environments by offering personalized, adaptive learning experiences that cater to individual learner needs. Future research directions are proposed to explore the long-term impact of microlearning on employee retention, scalability across industries, and advancements in technology integration for enhanced learning outcomes.  

Keywords: Microlearning, Corporate Training, Cognitive Load Theory, Spaced Repetition, Multimedia Learning, Implementation Challenges.

Downloads

Published

31-12-2024

Issue

Section

Articles