Challenge: Following MOD-Sponsored Competition, BAE Systems (Operations) sub-contracted Waves to conduct an exciting collaborative research project with BAE Systems, Bright HF Ltd and LEO Learning. The challenge: to investigate advances in instructional approach and learning technologies, identify current and emerging best practice techniques for the design and delivery of training, and to identify the Knowledge Skills Attitudes (KSA) and behaviours required by both Training Designers and Trainers to ensure a holistic continuum of training design and delivery. The Dstl 1 year project was delivered on behalf of the Defence Human Capability Science and Technology Centre (www.dhcstc.com).

Solution:
WP1: Detailed literature review of TEL best practice and emerging trends [BAE Systems Led]
WP2: Review existing training and continual professional development [Waves Led]
WP3: Assess current Defence learning designers/ trainers (and leaders) training [Waves Led]
WP4: Behaviour change and learning transfer workshops [Bright HF Led]
WP5 and 6: Define the KSA required for MOD Training Designers / Training Learners (and Leaders) [WAVES Led]

Outcome: This analysis allowed the defence trainer capability (DTC) to up-skill the trainer to meet the challenges presented by the modern learner in both structured training establishments and the workplace, and to capitalise on advances in the learner sciences. The competency framework and associated indicative KSA will be used to inform the DTC policy review, which in turn, will inform changes to courses (defence train the trainer (DTTT V2) and the training design course. The outputs will also facilitate a review of the training design and training delivery sections of JSP 822, resulting in an improved holistic defence training design approach in line with modern advancements in learning sciences. Dr Sarah Buchan and Iain Ball gave a highly successful presentation of the results to ITEC 17 in Rotterdam in May 17. An additional exciting Waves challenge was to combine our research with, and learning from, other concurrent Dstl research projects.

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