Capturing the right knowledge is critical to the development of effective training content. Of course, we begin by conducting an exhaustive analysis of the client’s current training content and complementary resources. But we know that there are rich, untapped resources that possess a wealth of tacit, undocumented, knowledge and experience.

Using several proprietary techniques (knowledge elicitation and cognitive task analysis), we conduct in-depth interviews and probe into the cognitive processes of users who are performing the various tasks. We map out the tasks, identify the critical decision points, and then cluster, link and prioritize them to identify the strategies used. This knowledge extraction is fundamental to the creation of rich, effective training content that covers all of the bases.

These methods are used to analyze and represent the knowledge and cognitive activities used by workers to perform complex tasks in the workplace. They focus primarily on how workers function in cognitively-demanding domains and are most useful in development of training programs, assessment tools and selection criteria for hiring personnel. The knowledge and cognitive activities derived from these methods are also strategic in the creation of decision support systems and job-aids.

Once these knowledge resources are captured and aggregated, our experts structure and model them in order to ensure the best knowledge transfer possible. In this phase, we take into account the learner profile (target audience), the learning objectives, and the business objectives in order to ensure true customization.

Once the content is expertly modeled, we identify a number of learning methodologies best suited for this type of knowledge transfer. Our expertise in this field is significant. In the last decade, we’ve analyzed over 50 learning methodologies and have identified the most pertinent methods for web delivery. Our pedagogical approaches are always carefully selected to optimize learning and retention and to ensure that each learning objective is effectively attained.

Finally, we identify which type of media will best support and enhance the learning approaches selected. We use Flash, sound, animation, narration, interactive video and most importantly, simulations using interactive Virtual Reality.

Once the knowledge is expertly transferred to the learner, assessing how well he integrates it becomes vital to our process. Hence, we will:

	Deploy training according to each learner’s needs (adaptive learning path)
	Prompt and motivate the learner throughout his learning path
	Provide assistance when the learner needs it (constructivist approach)
	Assess the learner through highly interactive exercises (multi-level exercises)
	Detect and remediate skill-gaps in real-time (gap-analysis)
	Track the learner’s performance for each learning object (performance metrics)
	Provide a thorough report (learner profile)

This loop (teach, assess, remediate, reassess) ensures maximized learning and retention and produces significant results. Our measured results demonstrate a 35% increase in learning and retention over and above first-generation e-learning systems.