Personalized Learning Experiences for Adult Learners

Building Personalized Learning Experiences for Adult Learners through Adaptive Learning Techniques

Member Institution:
Michigan State University

East Lansing, MI, USA

Key Experts:

Gwyn ShelleGwyn Shelle

Role: Project Leader

generic_person2Ellen Darnell


Adaptive learning models demonstrate the ability to build personalized learning paths for users based on data and analytics. It is a model suggesting that learners will engage with content in different ways. For example, some participants bring with them prior knowledge and would prefer to focus on content they need to know rather than follow a linear learning process.

This goal of this project is to evaluate and pilot adaptive learning tools for future cooperative extension programming. The team of experts is researching several existing adaptive learning tools and consulting with experts in the field of online learning who are currently implementing adaptive learning into their programming.

Specific objectives for this project include:

  • Increasing knowledge of adaptive learning tools through research and collaboration with experts. Adaptive learning tools will be assessed and ranked based on potential use within CES programming.

  • Designing and delivering adaptive learning activities within existing online courses through several selected pilot projects.

  • Evaluating the effectiveness of the adaptive learning experiences.

Project Updates:

  • The team has completed a review of existing adaptive learning tools.
  • Based on the review the team has selected Articulate Storyline, Camtasia and D2L LEAP as the primary tools for developing adaptive activities.
  • Pilot courses have been selected. The team is currently reviewing the courses for any gaps in content and writing assessment questions.

Recent Publications:

  • Coming soon!