The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Revisiting Merrill's First Principle of Instruction: Embracing Computational Thinking in Mobile Learning
Abstract
A problem-solving method known as computational thinking (CT) has been described as a 21st-century skill that all students should learn in preparation for increasingly automated jobs in the future. However, little instructional design approach is available to guide educators and designers when designing mobile learning applications to support CT skills learning and implementation. This study addresses the above issue by revisiting Merrill's first principle of instructional model (FPI) with the CT technique and describing how the proposed CT-FPI instructional design can be used in designing mobile learning applications for problem-solving learning. The decomposition technique, a component of computational thinking, involves breaking down complex problems into smaller, manageable parts. Future studies for this research will contribute valuable insights to the field of instructional design in developing learning aids for mobile applications that promote the CT-decomposition technique for problem analysis in learners.
Related Content
Wan Zuhainis Saad, Nor Aziah Alias, Chou Min Chong, Suriana Sabri.
© 2026.
26 pages.
|
V. Krishnamoorthy, Nishant Bhuvanesh Trivedi, Ratan Sarkar, Ranjeeta Saini, Archudha Arjunasamy.
© 2026.
30 pages.
|
Prasanna Ramakrisnan, Mohd Farhan Shah Ahmad Rusli, Mike Soon Tai Gan Hou.
© 2026.
18 pages.
|
Rippandeep Kaur, Ratan Sarkar, M. Lalitha, Saurabh Chandra, Taruna Anand.
© 2026.
30 pages.
|
M. Dhanasekar, Rijuta Prashant Joshi, R. Somasundaram, Kavya D. N., Uma Patil, Subhi Boopa.
© 2026.
28 pages.
|
Billur Köfter, Canan Koçak Altundağ, Ayşem Seda Yücel.
© 2026.
38 pages.
|
Nazurah Nik-Eezammuddeen, Najwa Baharudin.
© 2026.
34 pages.
|
|
|