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Adaptive learning- Next Generation Digital Platform

Updated: Aug 11, 2018

AI, Block chain, Virtual/Augmented reality, Video content management technologies are changing the digital learning management platforms. Customer focused learning systems are emerging in enterprises. Enterprises are structuring their employee training

courses to help solve the high value use cases of their customers. Members of the Adaptive Learning Management system can tailor their educational experience by choosing courses based on the employee learning styles. The digital courses are becoming more effective and helping employees retain information. Platforms are differentiating by providing better, faster ways to find relevant content, whenever and wherever learners need it. Modern adaptive learning management platform is an end-to end digital solution which has capabilities to create, distribute, edit and manage digital course from start to finish independent of the content.

The courses are becoming more effective and helping members retain information. Platforms are differentiating by providing better, faster ways to find relevant content, whenever and wherever learners need it. Modern learning management platform is an end-to-end eLearning solution which has capabilities to create, distribute, edit and manage entire courses from start to finish independent of the content.

Block chain is being used for learner’s on boarding, payments and rewards. New monetization models are evolving based on tokens from virtual currency offerings (ICO). The LMS provide a platform for educating professionals, learners and publishers about smart contract, token security, token mechanics, token allocation, white paper and token deployment.

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Video-centered training is becoming popular to the rise of modern cloud-based learning platforms, high-speed wireless networks, connected mobile devices, social media channels and live video streaming standards. Video is becoming the great equalizer in the debate about “live vs. online” learning strategies. With the right LMS software, you can create courses for each of these learning types. Videos, MP3 files, written documents, and recorded webinars are just a few of the options flexible LMS systems offer. The best learning management software also includes live webinar tools, podcasts, and newsfeeds, as well as micro learning and blended learning options.

Virtual reality (VR) provides a virtual environment to individuals. Augmented reality (AR) enhances the existing environment. Both have tremendous potential as enabling

technologies for learning and early applications support those assumptions.

VR momentum has come down after a great start. Learners can be categorized as visual learners, auditory learners, written learners, and kin esthetic learners. The various types of learning methodologies are live streaming learning, peer-to-peer learning, advanced self-learning, project learning, mentorship based learning, gamified learning and group-based learning. The platform can tailor the educational experience by choosing the courses with the content which suits the learning style and ensure effective learning experience. A recommendation engine will help learners to choose the educational content from various choices and provide high value to instructors and students.

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Educational success and fulfilment are achieved through personalization and optimization of the learner’s path through courses and gaining of competencies. This new class of learning technology vendors is making it possible to augment their systems with cloud-based applications which can be easily integrated with an enterprise-scale technology ecosystem. Enterprises are now tracking and analysing learning

Experiences with incredible precision which can be used to improve ongoing program and business outcomes. Tracking and reporting come in learner oriented dashboards and reports built for the staff. Machine Learning is demonstrating how AI techniques can be applied to monitoring and capturing the mentor’s instructions and directions to the learners. Mapping learning experiences to individual needs, interests and behaviours is enabled by the adaptive learning management systems.

AI based NLP engine scans and parses the messages from various communication channels like Slack, Social Media, email and messaging tools. Slack is used for communicating new courses, mentor conversations, cohort groups, general discussions and other posting from students. NLP engine has the capability of identifying threads and conversations from different communication channels. This will help to know and analyze the entities, sentiments, tone, mood, emotions, utterances and other parameters from the conversations. This will help in using the historical data about the students and their preferences to adapt the learning path and course content. Adaptive Learning is used to change the ongoing content of materials and assessments based on the educational goals. NLP engine helps in capturing time to mastery, completion rates, material reading complexity, language complexity and complexity of content topics. These areas are important for historical data which will be used for adaptive learning.

The next generation learning platforms are different by offering learners better and faster ways to find relevant content when they need it. Personalization, user experience and multi-channel access are important features of these learning platforms. Assessment is a specialized science and quality assessment with real-time feedback is integrated with these platforms. Platform provides capabilities to create, distribute, edit and manage entire courses with various media content types supported by on-demand

Resources, social tools and collaborative capabilities. Services related to managing activities, courses, assets, jobs, processes, learning outcomes and others are part of the platform. Assessment management, content management, teaching outcome management, course management are the key modules which help in providing overall learning experiences which can be authored, managed and delivered. Authorization, Authentication, Single Sign on, Workflow, Configuration, Calendaring, Messaging, Notifications, Alerts, Collaboration tools are part of the platform.

What’s Next?

Social learning capabilities are evolving with the LMS on multiple levels – across the platform, within classes and in online content. At the platform level, each learner typically has a unique profile that can follow others and see content they post or recommend, find mentors or experts, post questions, like, comment and chat. Within a cohort or class, course-private communication is available to support, assignment submissions, workgroup discussions, peer and instructor grading and other interactions. Within online content, learners can comment on any page or video and link to other resources. All of this is integrated into the useable workspace and not far off on a “Collaboration” tab somewhere.

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Author: Bhagvan Kommadi

Bhagvan Kommadi is the Chief Technology officer of Crystal Delta Solutions based in Chennai. He is Founder of Architect Corner & has around 18 years’ experience in the industry, ranging from large scale enterprise development to helping incubate software product start-ups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is member of IFX forum,Oracle JCP and participant in Java Community Process.

*All the content & images used have been provided by the author for this Blog.

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