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A Metaknowledge Framework for the Training of Trainers Using Smart Mobile Learning Applications

Singh, Abtar D. and Robeck, Edward and Raghunathan, Shriram and Sharma, Bibhya N. and Rajaratnam, Vaikunthan (2021) A Metaknowledge Framework for the Training of Trainers Using Smart Mobile Learning Applications. In: Reimagining Digital Learning for Sustainable Development: How Upskilling, Data Analytics, and Educational Technologies Close the Skills Gap. Routledge, England, UK. ISBN 9780367545604

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Abstract

Smart mobile learning (SML) is evolving due to the availability of devices, advancement in technologies (artificial intelligence and big data analytics), and a pressing need from users for a change in their learning environment. SML has impacted many facets of learning and one of it is the training of trainers (ToT). This chapter presents a state-of-the-art SML framework for the training of trainers - called the SCALED framework. The SCALED framework allows trainers to plan their training based on metaknowledge related to stakeholders, competencies, affordances, learners, evaluation and design intentions. The chapter presents two case studies, one related to SDG4 and the other to SDG3, both addressing the needs of developing countries in the ToT and how the trainers collaborate with their partners in reaching the goals of their programs. The case studies provide excellent instances of how metaknowledge surfaced using the SCALED framework.

Item Type: Book Chapter
Subjects: L Education > L Education (General)
T Technology > T Technology (General)
Divisions: School of Information Technology, Engineering, Mathematics and Physics (STEMP)
Depositing User: Ms Shalni Sanjana
Date Deposited: 22 Apr 2022 00:57
Last Modified: 22 Apr 2022 00:57
URI: https://repository.usp.ac.fj/id/eprint/13401

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