“Intelligent” designs that predictively recommend related content.

Mobile-accessible technologies make it possible for us to access vast libraries of information, any time and anywhere, using our location to provide context.


In the late 80s and early 90s, Roger Shank, then Dean of Northwestern’s Institute for Learning Sciences, pioneered research into expert tutoring systems using artificial intelligence. His work evolved into “ask” systems that let users access relevant help simply by selecting the questions that they wanted answers to. These systems were never really “artificially intelligent.” Instead, they relied on developers and programmers to define and hard code pathways that they believed would best serve the learner.

Fast-forward a decade or two… Google and others have made huge strides in anticipating the content we are searching for when we enter a request into their search engines and are able to quickly “serve up” the information most relevant to us. This technology has given way to a new generation of “ask” systems that “intelligently" anticipate learner needs.

But access is only part of the solution; real breakthroughs are achieved when learners are able to find exactly the right information, when and where they need it.

The latest generation of performance support leverages new technologies to provide mobile-accessible “intelligent” support. Search responses and relevant content are prioritized using a gaming engine (rules and probabilities) that predicts and shares the most relevant content for each user. The engine “learns” from the designer's objectives and user choices so that the learner's experience evolves "intelligently" with use. The result is an unprecedented business tool that is accessible just in time at the point of need.


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Interested in learning more? Set up a meeting with David Milliken, Blueline's Managing Partner.

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