South Bay GIG Workshop: Emerging Learning Ecosystems and the Experience API

  • 09 Apr 2014
  • 9:30 AM - 4:30 PM
  • 2160 Lundy Ave. San Jose, CA 95131
  • 7


If you advise us prior to 5 days before the event, we will be happy to refund your payment MINUS a $15 administrative fee. If you cancel within the 5 days up to the event, or simply don't show up, we will not be able to refund your payment.

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With the rise of mobile devices, social media, video content,   gamification experiences, and big data, our learners' expectations   for developing their skills have become more sophisticated. Yet organizations still manage their learning events with an LMS, which limits capturing a wide range of these learning experiences. All of these learning opportunities can be recorded with the Experience API (xAPI) also known as the “Tin Can” API.

We all learn from interactions with other people, content, and beyond. When this learning occurs, it can happen anywhere, often outside of a formal training environment. They are not included in today’s LMS’s. If you want to learn the cutting edge method for capturing these learning events you need to participate in this workshop!

A learning ecosystem’s value is defined by the usability of the data produced and consumed by activity within it. The Experience API (xAPI) is emerging as an enabling technology that allows organizations to track experiences across a learning ecosystem.

However, sharing individual performance data in ecosystems has both challenges and opportunities.

In this workshop, we will discuss emerging trends and technology that will enable you to provide and capture more meaningful and effective learning experiences.

  • What is the xAPI? Why another specification past SCORM?
  • What are the business problems / outcomes that it addresses?
  • What is a learning ecosystem and what are its      affordances?
  • What are the design approaches for using it?
  • What can you expect from vendors and when?
  • What do you need to know to scope a pilot for your organization applying xAPI?
  • What are the practical steps towards approaching xAPI?
  • Where do you go for key resources (how to, open source, etc.)?
  • What does the future look like?
Target Audience:

  • Training Managers, Instructional Designers, Developers, Project Managers, Managers, Directors, Training, Learning and Development C-level Executives

Join us for a full day workshop that will give you the basics to understanding this cutting-edge technology, its impact on training and development, and how to apply it strategically in your workplace and training environment. All participants will receive useful materials to take back to the workplace.

Michael Hruska Michael Hruska is a technologist with experiences spanning across standards, emerging technologies,
learning, and science. He is a former researcher at the National Institute of Standards and Technology in Gaithersburg, MD. He is currently the President/CEO of Problem Solutions, and provides learning technology solutions to government, commercial, and nonprofit organizations. His team has been supporting efforts for the last 4 years at the Advanced Distributed Learning

(ADL) Initiative on the future of a Training and Learning Architecture (TLA) and the Experience API. He holds a B.S. from the University of Pittsburgh and is a member of the e-Learning Guild, American Society of Training and Development (ASTD), and the National Defense Industrial Association (NDIA).

Tiffany Poeppelman is an Industrial-Organizational Scientist at Aptima where she leads efforts surrounding interoperable performance assessment, adaptive training technologies, and research methodologies in the government and commercial domains. She is a seasoned training specialist who designs, develops, and executes cutting-edge training within various environments, such as Live-Virtual-Constructive (LVC), computer-based, instructor-led, simulation-based, and game-based. She also conducts functional research to create innovative adaptive training solutions that adjust training experiences via human performance algorithms, scenario engineering, scaffolding, and other methods of intelligent adaptation. Ms. Poeppelman received a M.S. in Industrial and Organizational Psychology from Northern Kentucky University and a B.S. in Psychology from Bowling Green State University.

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