As knowledge transfer is the lynchpin, so education research is both the foundation cornerstone and lifeblood of any instructional design process. CEN focuses on proven research techniques that enhance and codify knowledge extraction

Learning & Storytelling


  • We don’t learn in a linear fashion (link to myth # )
  • We don’t ‘make meaning’ of information in an orderly way (link to myth # )
  • Soulless facts don’t stick! (link to 4 truths)

More than any other medium, we learn from stories.  This includes movies, novels, autobiographies, YouTube videos, party conversations and social media posts.

Throughout time Masters have used stories to challenge our opinions and ideas:

  • Voltaire – numerous plays and novels
  • Drucker – dozens of books on business and society
  • Paulo Coelho – The Alchemist and many others
  • Your favour teachers

Whether true life case studies (Drucker), creative non-fiction (Voltaire)  or true fiction (Coelho), stories have been an integral part of our learning journey throughout our entire life.

CEN is looking to create, collect and curate an extensive list of the best stories that have helped people from all walks of life progress along their Learning journey

Masters Research Video

Using Informal Learning Instances to identify tacit knowledge

 Through a constructivist Grounded Theory approach, supervisors and front-line staff from two different resorts in the northern province of La Union (Philippines) were interviewed. The primary purpose was to help them look back over their hospitality career and identify key informal learning instances that assisted in their career growth. The data was synthesized through three tacit knowledge grids that gave rise to five major informal learning categories: Job skills, Career skills, Communication skills, Customer skills & Interpersonal skills.

Here is an intriguing 10-minute YouTube graphical representation of the Project.

Links to a one-page PDF overview (including citations) of the key findings from each grid:

KEY FINDINGS: Cognitive vs Technical: GRID 1: KEY FINDINGS-tech-cog

KEY FINDINGS: Group vs Individual: GRID 2: KEY FINDINGS – ind-group

KEY FINDINGS: Universal vs Context: GRID 3: KEY FINDINGS – contxt – uni

Please add your thoughts and ideas in the comments section.