Map-driven Learning in Enterprise Systems
Managing for Results
Tuesday, May 19, 2015 / 1:15 pm - 2:15 pm / Contris Room
Seema Chaudhary, Harbinger Group
Umesh Kanade, Harbinger Systems Inc.
This session addresses the problem faced by large organizations with overall training effectiveness with the growing volume of knowledge base. The traditional methods of enrollment, categorization, and tag or keyword-based searching in the repositories are no longer efficient and require more intuitive approaches to get the learning to the user. Searches often result in too many options, and the user either gets lost in finding the right learning or ends up going through content he was not looking for and loses interest.
Participants in this session will examine ways to simplify overall content presentation of the learning knowledgebase. You will learn about design solutions that present learning with all the correlated topics quickly and intuitively navigable. As part of session graph based visualization model of knowledgebase at different context levels will be presented. This structure also helps users actually see multiple learning paths towards the final desired learning objectives and choose the most relevant learning topics in a context more aligned to his or her learning need.
What you will learn
- Challenges with a large knowledgebase on multiple learning platforms
- A map-based learning visualization model
- Effectiveness through personalized learning paths
(Link to be provided here when presentation becomes available)