mLearning programming is often needlessly repetitive, which makes the work inefficient and increases project costs. In other cases, the programming leads to undesirable design tradeoffs because engaging interactions can be difficult and time consuming to develop. A cursory investigation into ways to reduce programming repetitiveness and improve engagement level might lead one to think this problem could be easily resolved through tools or templates. However, it’s not that simple.
In this session you will join a discussion that draws on a mixture of practical mLearning-development experience and widely accepted computer-science principles to uncover the pros and cons of various mLearning authoring tools, templates, models, and patterns. You will explore approaches that include reusable functions, separation of content and functionality, debugging functionality, selection of proper level of abstraction, and selection of appropriate level of rigor for reusability. You’ll get real-world examples from actual mLearning courses along with tools that you can adapt and use in your own organization.
In this session, you will learn:
- The strengths and weaknesses of tools, templates, models, and patterns
- The pros and cons of various authoring tools
- Tips for improving mLearning programming efficiency using authoring-tool composition
- Tips for efficient mLearning programming in a variety of authoring tools
Audience:
Intermediate and advanced developers with some experience developing courses using eLearning or mLearning authoring tools.
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