Learning Engineering

For more information see: “Learning Engineering is a Process” in Learning Engineering Toolkit.

Expertise in Learning Engineering

QIP provides expertise to help organizations apply the principles of learning engineering to optimize the design, development, and delivery of learning experiences through data-informed, iterative improvement.

We partner with clients to develop strategic plans for long-term learning initiatives and provide guidance on resource allocation, project management, and change management to ensure successful implementation and adoption of learning innovations.

QIP's consultants bring multidisciplinary expertise to organization partnerships, filling knowledge gaps when internal talent would benefit from comprehensive learning engineering skills needed for specific challenges. Our learner-centered approach is based on the Learning Engineering Toolkit and the best practices of IEEE’s International Consortium for Innovation and Collaboration in Learning Engineering (ICICLE). 

Our Iterative Process

The QIP team establishes learning engineering as a process and practice within your organization to advance learning  by adopting 

  • learning engineering as a multidisciplinary practice;
  • the learning engineering process;
  • the learning sciences;
  • human-centered design practices;
  • systems engineering mindsets and practices; and
  • data-informed decisionmaking through instrumentation and data analytics.

Addressing Challenges

We can also help your organization address particular learning engineering challenges, such as:

  • Learning Needs Analysis: QIP analyzes learning needs, objectives, and challenges. We assess current learning ecosystems, identify gaps, and examine learner preferences and behaviors.
  • Instructional Design Optimization: We offer expertise in instructional design, helping clients create more engaging and effective learning materials. We assist in designing curriculum frameworks, developing learning objectives, and selecting appropriate instructional strategies and technologies.
  • Learning Technology Integration: Our learning engineering consultants help organizations leverage technology to enhance learning outcomes. 
  • Personalization and Adaptive Learning: We leverage principles from learning science to help clients create personalized and adaptive learning solutions. This involves tailoring content and experiences to individual learner needs and preferences, maximizing engagement, and improving retention.
  • Learning Experience Design (LXD): Our design team focuses on creating engaging, user-centered learning experiences. 
  • Data Analytics and Assessment: We use data-driven approaches to measure and evaluate the effectiveness of learning interventions. We develop assessment frameworks, collect and analyze learner data, and provide insights to inform ongoing improvements in learning design and delivery.
  • Continuous Improvement and Optimization: Our team supports continuous monitoring and refinement ensuring that learning interventions remain relevant, effective, and aligned with your organization’s goals.

Recent Achievements

  • The QIP team was a semi-finalist in the National Science Foundation’s VITAL Prize Challenge, which recognizes success in developing innovative learning technologies for K-12 students.
  • Award winning free resource created by QIP –Winner of Best Poster Design at the Innovation, Instruction, and Implementation in Federal E-Learning Science & Technology Conference (iFEST), the premier conference on distributed learning, August 2022.