Online Learning without Learning Science Principles Doesn’t Fly at Boeing
When: Thursday, May 31st, 2012 : 11:00AM - 12:00PM EDT
With corporate offices in Chicago, Boeing employs more than 170,000 people across the United States and in 70 countries. This represents one of the most diverse, talented and innovative workforces anywhere. In 2011; Boeing invested over eight million hours per year in training its 172,000 employees, with an increasing percentage (40%) of classes being delivered online.
The Learning, Training, and Development organization (LTD) consists of 560 people who are responsible for training Boeing employees in workplace skills ranging from aircraft production to engineering and management. A foundational objective of LTD is to provide high quality learning experiences for employees at any time.
One of the goals of LTD is to develop an evidence-based design methodology for creating effective online learning experiences based on learning science principles and standardized development processes. Their approach involves analyzing, experimenting, and evaluating existing online courses to understand how to improve them. One course that was the focus on this improvement methodology was an introductory course on Boeing’s Product Lifecycle Management (PLM) ENOVIA system that is taken by every engineer. Their initial analysis revealed several issues with the course. Addressing those issues, LTD created a new and better version of the online course. The new course stressed differences with the control course with respect to assessment, level of activity, modular resources which minimized cognitive load, leveraged formative and summative assessments and the use of a open LMS to provide detailed data and support student interaction.
At this webinar, you will learn the details about the Boeing online course analysis and improvement methodology based on learning science principles that leverage e-learning technologies. You will also learn the impact that their online course revisions have had, including the following:
- Use of integrated assessments
- Use of focused, narrated videos
- Use of modular pedagogical organization
- Increased efficiency as a result of reduction in online retake rate
From this webinar, participants will leave with practical, real-world, award-winning learning technology strategies and tools that can be applied within their own businesses. Please join us!
Presenters:
Michael Richey is an Associate Technical Fellow currently assigned to support technology and innovation research at the Boeing Company. Michael is responsible for leading a team conducting research projects to improve the learning experience for engineers and technicians. His research encompasses, Complex Adaptive Systems, Learning Curves, Learning Sciences and Engineering Education Research focusing on understanding the interplay between knowledge spillovers, innovation, wealth creation, and economies of scale as they are manifested in questions of growth, evolvability, adaptability and sustainability. Additional responsibilities include providing business leadership for engineering technical and professional educational programs. This includes development of engineering programs in advanced aircraft construction, composites structures and product lifecycle management.
Michael is responsible for leading cross-organizational teams from academic, government focusing on how engineering education must acknowledge and incorporate this new information and knowledge to build new methodologies and paradigms that engage these developments in practice.Michael holds a PhD in Strategy, Programme and Project Management, with a focus on Engineering Education Research from Skema Business School, and a Stanford Certified Project Manager (SCPM) certificate from Stanford Center for Professional Development. Michael often represents Boeing internationally and domestically as a speaker - presenter and has authored multiple patents on Computer-Aided Design and Computer-Aided Manufacturing and has published a book on nano science and multiple papers in lead journals addressing topics in large scale system integration and learning sciences.
