A Mobile Learning Decision Path for Instructional Designers tasked with developing #mLearning [Download]


Since leaving Adobe Systems almost two years ago, I have had the great fortune of working on a number of e-Learning and m-Learning projects for different organizations in various industries.

One such project I was a part of recently, was developing a ‘Mobile Learning Decision Path,‘ which was produced by Adayana Government Group in collaboration with the Advanced Distributed Learning (ADL) Initiative and the Combating Terrorism Technical Support Office (CTTSO).

Dr. Allison Rossett and I were brought on as Subject Matter Experts for this project. While Allison provided insight on the sections about Performance Support, I worked on a conversion scenario, in order to illustrate best practices for transitioning from e-Learning to mobile Learning.

What we ended up with is a 291 page PDF document Job Aid, that you can download below via ADL’s web site.

We all worked very hard on making sure we were as thorough as possible with this project, and I highly recommend you download it and take a look as I think you will find it useful in your own mobile learning endeavors.

Here’s the table of contents in the way of a sneak peek into the finished project:

Table of Contents

1.0 Project Description … 1

2.0 Analysis of Current Mobile Learning Space … 5

3.0 Sample Project Requirements (Use-Cases) … 9

3.1 Sample Project 1—Information Awareness Training … 10

3.2 Sample Project 2—Boarding Officer Support for Rules & Regulations … 11

4.0 Mobile Learning Decision Path … 12

4.1 Mobile Learning Solution Concepts and Definitions … 12

4.1.1 Sample Project 1—Supplementing Initial Requirements … 22

4.1.2 Sample Project 2—Supplementing Initial Requirements … 23

4.2 Suitability of Mobile Learning Solutions … 24

4.2.1 Sample Project 1—Should We Pursue a Mobile Solution? … 33

4.2.2 Sample Project 2—Should We Pursue a Mobile Solution? … 35

4.3 Mobile Learning Content Redesign and Mobile Learning for Performance Support … 37

4.3.1 Sample Project 1—Determining Type of Mobile Solution … 46

4.3.2 Sample Project 2—Determining Type of Mobile Solution … 47

4.4 Recommendations for Mobile Learning Solutions … 48

4.4.1 Sample Project 1—Recommendations for Mobile Learning Content Redesign … 96

4.4.2 Sample Project 2—Recommendations for Mobile Performance Support … 101

5.0 Application of Decision Paths to Sample Projects … 105

5.1 Sample Project 1—Information Awareness Training … 105

5.2 Sample Project 2—Boarding Officer Support for Rules & Regulations … 159

6.0 Future Considerations & Recommendations … 213

7.0 References … 215

8.0 Mobile Learning Resources … 218

8.1 Mobile Learning Resource Library … 218

9.0 Worksheets … 221

10.0 Glossary … 227

Finally, here’s what Jason Haag from ADL wrote on his blog:

New Job Aid Available for Instructional Designers: The Mobile Learning Decision Path (MLDP)

The Mobile Learning Decision Path (MLDP) is a new tool for stakeholders who are considering a mobile learning development project. Adayana, Inc. created this guide for the Advanced Distributed Learning (ADL) Initiative to help instructional designers plan and implement mobile performance support and to repurpose existing learning content for the mobile platform. The DoD’s Combating Terrorism Technical Support Office (CTTSO) funded the project.

Design requirements for desktop e-learning applications are different than the design requirements for mobile learning applications. Too often, these differences have been oversimplified or glossed over—reducing “design” to merely forcing desktop content to a smaller screen. The result is a poor user experience and lost training or performance support opportunities.

The MLDP is a PDF document structured as a decision support job aid, with questions and branching to further questions and to best practices—depending on the answers provided at each step. Two sample projects illustrate how an instructional designer could approach a project using the decision path presented in the MLDP. One example assumes a conversion scenario, from desktop e-learning to mobile learning. The other assumes a performance support scenario, a fast-growing area for mobile learning solutions.

Consult the “Defining the MLDP Target Audience” diagram below to determine how the MLDP could help you.

Click here to access the MLDP (PDF, 5.1MB).

via Advanced Distributed Learning.

, , , ,

  • Jason Haag

    Thanks for posting this RJ. And thanks for your expertise!

    • RJ Jacquez

      Hi Jason, I appreciate that and I thank you and your team for organizing this project and for sharing it with the community after completion.

Powered by WordPress. Designed by WooThemes