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Advances in educational technologies and instructional design book series· 2021· Book chapter

Building Effective Blended Learning Programs

Harvey Singh

Short summary

Blended learning programs can be enhanced by integrating artificial intelligence, microlearning, and spaced learning models, building on the global shift towards remote and eLearning accelerated by the COVID-19 pandemic.

AI-generated from the title and abstract; the full text is not read.

Key points

  • The COVID-19 pandemic normalized remote learning and eLearning, driving a sustained trend towards blended learning.
  • Blended learning represents an evolution from self-paced eLearning and virtual classrooms.
  • Artificial intelligence, microlearning, and spaced learning are key modern technologies and models for enhancing blended learning effectiveness.

AI-generated from the title and abstract; the full text is not read.

Abstract

The term ‘remote learning' became very common during the COVID-19 pandemic as remote work and remote learning became common practices across the globe. Education and training programs have shifted to self-paced eLearning and virtual classrooms. Post COVID-19, even when learning returns to the physical classroom, the trend toward blended learning will continue. In this chapter, the authors explore how eLearning has evolved toward blended learning and how we can use modern technologies like artificial intelligence and learning models such as microlearning and spaced learning to improve blended learning.

The authors' abstract, as published at the source. Advances in educational technologies and instructional design book series, 2021 · DOI ↗

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Field: Computer Science Applications

Computer Science ApplicationsComputer Science