Learning Engineering Spotlight (Sept. 22-28): Your Weekly Dive into LE Research & Practice

Introducing the Learning Engineering Case Guide 1.0: A Framework to Innovate and Design with Data in Mind

In today's ever-evolving educational landscape, data-driven, human-centered solutions have never been more critical. That’s why we're excited to introduce you to the newly released Learning Engineering Case Guide 1.0, a comprehensive tool designed to support educators, instructional designers, and developers in applying the learning engineering process to their work.

What is Learning Engineering?

Learning Engineering is an approach that brings together learning sciences, engineering design methodologies, and data to create effective learning solutions. By systematically addressing real-world learning challenges, this process ensures that every solution is built on a foundation of evidence, user-centered design, and iterative improvements.

Why This Guide is Essential

The Learning Engineering Case Guide 1.0 serves two primary purposes:

1. Reflection and Growth: It provides users with a structured way to reflect on and improve their own learning projects, ensuring that they can articulate their work in a systematic, evidence-based manner.
2. Community Collaboration: It also enables the wider learning engineering community to share case studies, compare strategies, and learn from one another’s experiences.

How to Use the Guide

The Case Guide offers a step-by-step approach to documenting your learning engineering efforts. Starting with the central challenge you are facing, the guide helps you map out every aspect of your project, from the team roles and learner personas to key design decisions and data analysis.

Here’s a brief outline of the process:

• Identify the Challenge: Clearly define the learning or learner challenge that you're addressing.
• Design the Solution: Develop and describe your proposed solution, including the strategies and tools used.
• Implement and Analyze: Test your solution in real settings and collect data to determine its effectiveness.
• Iterate: Based on your data findings, refine the solution to better address the challenge.

Flexibility for Any Project

One of the most exciting aspects of the Case Guide is its flexibility. It can be adapted to fit any project, regardless of its scope or stage of development. Whether you’re working on a small pilot or a large-scale implementation, the guide provides a robust framework to ensure that your project remains focused, data-driven, and learner-centered.

Share and Collaborate

The Case Guide also encourages users to share their filled-out examples with the community. Through venues such as the International Consortium for Innovation and Collaboration in Learning Engineering (ICICLE) Design SIG, for example, you can engage with a community of professionals across industries "building examples / cases of human-centered design work within the learning engineering process framework and across implementation levels." There you can present your work, receive feedback, and learn from others. Sharing your case is an excellent opportunity to refine your approach and inspire others in the field of learning engineering.

If you're ready to take your projects to the next level, dive into the Learning Engineering Case Guide 1.0 and start building your learning solutions with clarity and precision. We can't wait to see what you'll create!

View the LE Case Guide 1.0.

Note: The LE Case Guide 1.0 is openly-licensed and, therefore, can be modified as needed under the following Creative Commons licensing terms: CC BY-NC-SA 4.0. To create a personal, editable copy go to File > Make a Copy > Entire presentation and get started!

Acknowledgements: Many thanks to Aaron Kessler , Lauren Totino , Amy Parent , and Jim Goodell for creating this incredibly useful guide and to all those across the ICICLE community and Design SIG that provided feedback and suggestions along the way.

If you're interested in learning more about how this Guide came together and potentially collaborating on any future work, feel free to stop by the ICICLE Design SIG, which meets on the last Tuesday of every month from 2pm-3pm ET.

*This newsletter was generated with the help of ChatGPT 4o (Sept 23 version).