For those keen on maximising their return on professional development training, check out our best Adaptive Learning software platforms for 2018 which uses AI and machine learning to enhance user outcomes.
By Archana Khatri Das
Adaptive learning creates a customised learning path for the learner by assessing the gaps in user knowledge from the outset.
According to Deloitte’s Global Human Capital Trends, “Learning opportunities are among the largest drivers of employee engagement and strong workplace culture – they are part of the entire employee value proposition, not merely a way to build skills”.
Most organisations who have long-established annual professional development programs for employees understand that the days of one-size-fits-all training videos and interactive PowerPoint presentation training modules are numbered.
Those who are well-versed in effective pedagogical strategies, acknowledge that individuals have their own pace of learning. To this end, Adaptive Learning promises a cost-effective and outcome-driven approach that makes bespoke training material to meet the learning needs of every individual.
Adaptive learning gauges the skills and knowledge level of the user through an initial core-set of questions, virtual simulations and assigned tasks. Based on the real-time data gathered from the user’s responses, the platform assesses the gap between the user knowledge and the knowledge required to meet competency.
The average time spent training employees through traditional training methods is 33 hours per year. Adaptive Learning takes an average of 4.95 hours less time to achieve competency.
Educators are embedding Adaptive Learning platforms into online training modules as well as combining it with face-to-face tuition.
According to an article published in Corporate Compliance Insights, adaptive learning can enable learners to rapidly move through information they know already, cutting the time for training by almost 50 to 80 percent.
As most users incorporate smart devices as a tool for performing work-based tasks, Adaptive Learning allows users to choose their preferred learning style across the entire training module. It includes collaboration tools for sharing content between trainers and students. It also offers multi-modal content including videos, podcasts and listicles and has gamification components including rewards and badges for increased motivation.
Interestingly, a large learner base over time will allow the courseware to continually improve and refine its training programs.
Top Five Adaptive Learning Software in 2018
ALEKS uses adaptive questioning to determine exactly what a student knows and doesn’t know in a course. ALEKS then recommends the topics the user is most ready to learn and periodically reassesses the student to ensure knowledge retention.
Knewton / Alta gives educators real-time student feedback on coursework so educators can refine their methods and content to maximise student learning outcomes. Knewton also pulls additional data from course materials to understand which content the most effective and which content students interact with the most so they can be continually updated and optimized.
SmartUp is a microlearning platform that allows users to create and gamify knowledge to train teams for higher engagement and learning experiences.
Smart Sparrow replicates the in-person experience for students to make their learning as hands-on as possible. Smart Sparrow is half platform and half service—providing educators to build their plans and guide students based on learner feedback. This is a unique differentiator for adaptive learning technologies, as many products rely on algorithms that cut out unique personalization for educators.
Whatfix helps businesses accelerate product adoption by streamlining employee training and learning via real-time walkthroughs.