Instructional Design Models for Digital Learning in Higher Education — A Scoping Review

Authors

  • Vindya V. Senadheera Department of Physiotherapy, Faculty of Allied Health Sciences, University of Peradeniya https://orcid.org/0000-0002-3572-4100
  • Dileepa S. Ediriweera Health Data Science Unit, Faculty of Medicine, University of Kelaniya, Sri Lanka
  • Thilini P. Rupasinghe Department of Applied Computing, Faculty of Computing and Technology, University of Kelaniya, Sri Lanka https://orcid.org/0000-0001-9958-4381

DOI:

https://doi.org/10.56059/jl4d.v11i1.973

Keywords:

instructional design model, higher education, digital learning, digital transformation

Abstract

Instructional design (ID) is a systematic process that is used to develop education and training programmes in a consistent and reliable way. A key challenge faced by educators is selecting an ID model by deciding which ID model will be more suitable in order to achieve an effective digital teaching and learning process. The objective of this scoping review was to present recommendations to select ID models for digital learning in higher education. Nine databases were searched for eligible publications. The search retrieved 643 records. Forty articles were included in this review. Results show that employing a systematic process in instructional design (an ID model) has produced an effective, consistent and reliable digital teaching and learning process in higher education. Selection of an ID model depends on the requirements of the course, timeline, resources available for the design and development of the course and the expertise in the ID process.

Author Biographies

Vindya V. Senadheera, Department of Physiotherapy, Faculty of Allied Health Sciences, University of Peradeniya

Vindya V. Senadheera is a Lecturer in the Department of Physiotherapy in Faculty of Allied Health Sciences in University of Peradeniya, Sri Lanka. She is a doctoral student on the Board of Study in Digital Learning in Faculty of Graduate Studies, University of Kelaniya, Sri Lanka. In her research she investigates how to design digital teaching-learning processes in higher education using the concept of microlearning. Email: vindyasenadheera@ahs.pdn.ac.lk

Dileepa S. Ediriweera, Health Data Science Unit, Faculty of Medicine, University of Kelaniya, Sri Lanka

Dr. Dileepa S. Ediriweera is a Professor in the Health Data Science Unit, Faculty of Medicine, University of Kelaniya, Sri Lanka. His research interests include medical informatics, biostatistics and spatiotemporal modeling and disease mapping. Email: dileepa@kln.ac.lk

Thilini P. Rupasinghe, Department of Applied Computing, Faculty of Computing and Technology, University of Kelaniya, Sri Lanka

Dr. Thilini P. Rupasinghe is a Senior Lecturer in the Department of Applied Computing, Faculty of Computing and Technology, University of Kelaniya, Sri Lanka. Her research interests include the development of functional nanomaterial for material science, agricultural and environmental applications and technology education. Email: thilinir@kln.ac.lk

Published

2024-03-23

How to Cite

Senadheera, V. V., Ediriweera, D. S., & Rupasinghe, T. P. (2024). Instructional Design Models for Digital Learning in Higher Education — A Scoping Review. Journal of Learning for Development, 11(1), 15–26. https://doi.org/10.56059/jl4d.v11i1.973

Issue

Section

Research Articles
Received 2023-04-16
Accepted 2024-03-02
Published 2024-03-23