Better training has long held the promise of being the magic ingredient for improving sales force effectiveness in the pharmaceutical industry. Despite the obvious potential, however, few companies have been able to reap the full benefits – and for good reasons. Sales training presents a unique set of challenges that have historically made designing a successful program difficult. With the rise of new technologies (e.g. adaptive learning) and devices (smartphones and tablets), could the tide finally be changing?
At the end of August Erudify co-organized, co-sponsored, and hosted the second Haskell Hackathon in Zurich, ZuriHac 2013.
Haskell is one of the core technologies used at Erudify. All our custom back-end software is written in Haskell. This includes the back-ends for learning, course authoring, class management and account management, as well as infrastructure libraries like web-servers, database interfaces, JSON serialization, templating, resource pooling, secure password hashing and many more.
With regulators around the world introducing new rules and raising expectations on compliance, the training burden on companies is likely to continue rising. At the same time, compliance training is still burdened by the same old set of challenges: keeping demands on employees’ time reasonable and managing their perception of compliance training. As adaptive learning enters the corporate e-learning landscape, it is worth considering whether adaptive learning may just be the long-awaited solution to the challenges of running compliance training.
In today’s blog post, we conclude this series based on Erudify white paper #1 by looking at one of the most important questions, at least from a practical point of view: what’s the likely adoption path and timing for adaptive learning in the corporate training world?
Currently, e-learning course authors spend a disproportionate amount of their time worrying about the design and graphics of their courses: how to make each of them look different, how to make sure the graphics is consistent throughout the course, how it will look on different screens, and so on.
This process doesn’t make sense – it forces the course authors to focus on how to present things, rather than what and how to teach. In the future, better tools are likely to finally allow course authors to focus on what really matters: describing what the students should learn, and how.
Since smartphones and tablets started making their way into the workplace, e-learning professionals have been trying to find the right way of making e-learning courses accessible any time, from anywhere, from any device.
Due to the limitations inherent in Flash and SCORM, however, the products built in response to mobility requirements leave much to be desired. In today’s excerpt from our white paper #1, Introducing adaptive learning for enterprise, we review why traditional “mLearning” fails to deliver and what will the proper solution look like.
One of the largest challenges for companies looking to use technology to train their employees is integrating all the different components of learning: on-the-job, in the classroom, and online. In today’s post, we outline our vision for how all of these will eventually be integrated.
It‘s 2015; online learning, classroom instruction, and on-the-job training are integrated through common learning goals. Adaptive courses include rigorous, testable definitions of what it actually means to know “Customer Service Fundamentals”.
Continuing our trip into the future of corporate training, today, we take a look at what happens when high quality products that utilise big data finally arrive to the market.
It‘s 2015; analytics and dashboards are now integrated throughout the company. Adaptive learning has introduced big data to learning management and with that turned training and education from a black box into a transparent, evidence-driven process.
To finish this article series based on Erudify’s first white paper, Introducing adaptive learning for enterprise, we will look at five different scenarios describing what we believe to be the future of corporate training, starting from about 2015.
Technologically, products required to support these scenarios are entirely realistic within that time frame. Whether business processes, regulators, and other constraints enable such development is, of course, another question altogether.
In this post, we continue our series on adaptive learning and its impact on e-learning in enterprise. After reviewing why adaptive learning fixes many of the underlying problems, today, we look at how adaptive learning can address specific challenges typically encountered when running corporate training programmes.