Mobile Learning Objects Deployment and Utilization in Developing Countries

The report explores a model for deploying and utilizing mobile learning objects on various mobile devices in developing African countries.

(Generated with the help of GPT-4)

Quick Facts
Report location: source
Language: English
Publisher:

International Journal Of Computing And ICT Research

Authors: Jude T. Lubega, Kathy Lynch, Paul B. Muyinda
Geographic focus: Developing Countries, Africa, Global

Methods

The research utilized a Design Research approach to create a UML-based model for deploying and utilizing learning objects on mobile phones. The model, MoLODUM, was validated using a prototype mLearning system tested in the context of distance education at Makerere University in Uganda.

(Generated with the help of GPT-4)

Key Insights

This research presents a model called MoLODUM, designed to facilitate the deployment and utilization of mobile learning objects (MLOs) on multi-generation mobile phones in developing African countries. It addresses the challenges of limited infrastructure and access to traditional eLearning resources by leveraging the widespread use of mobile phones. The model aims to enhance educational opportunities and equity by enabling learners to access learning materials anytime, anywhere. The research involves designing a UML-based model, developing a prototype mLearning system, and validating the model's effectiveness in a real-world context.

(Generated with the help of GPT-4)

Additional Viewpoints

You could leave a comment if you were logged in.
Last modified: 2024/06/12 16:16 by elizabethherfel