Learning Tech Services
Commercial or Custom Authoring: Premium, one-of-a-kind design at scale with DesignLab
Learning Portals: Solutions to meet unique LX or reporting requirements
Web Services: Functionality for dashboards, peer-to-peer collaboration, reference, and other features not available in your legacy tech stack
AI for Learning: Solutions and advisory to support your implementation of AI to streamline development and engage learners
Over the past several decades, the rapid advancements in learning technology have left many organizations with gaps in their expertise and in their learning tech stack. They are excited about the possibilities of today's technologies but struggle to orchestrate learning experiences across disparate platforms or to aggregate learner data from those experiences.
AllenComm Tech can help with both the expertise and the requisite technology to create rich learner experiences, manage those experiences, and report on valuable learning analytics. We have worked with most commericially available LMS, LCMS, LXP, and HRIS platforms as well as authoring applications, skills engines, assessment tools, etc.
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Learning Technology FAQ
What comprises the learning tech ecosystem?
A learning tech ecosystem, also referred to as a learning tech stack, is a collection of interrelated technologies that work together to support learning and development (L&D) initiatives within an organization. It’s more than just a single platform; it’s a multi-layered suite of tools designed to address various learning needs. Technologies in the stack may include the following components: learning management system (LMS),learning experience platform (LXP),learning content management system (LCMS), authoring tools, learning records store (LRS), and specialty platforms for microlearning, adaptive learning, etc.
What are the typical problems with LMS platforms?
While Learning Management Systems (LMS) have been a mainstay for delivering eLearning, L&D leaders often find them lacking in modern needs. Common issues include limited user engagement due to clunky interfaces, a lack of personalization options, and difficulty in incorporating diverse learning formats beyond traditional courses. Additionally, LMS reporting can be cumbersome, making it challenging to measure the true impact of training programs. These limitations can hinder L&D leaders’ ability to create a dynamic and data-driven learning environment. We can help you to address these issues. Often, we can do so without the need to replace your platform.
With which systems can you integrate?
Essential systems integrations in L&D involve connecting your learning management system (LMS), learning experience platform (LXP), or human resources information system (HRIS) with other key platforms. This can include linking to HR systems for seamless user management and competency tracking, performance management tools to measure the impact of training on job performance, and content creation platforms to ensure a steady stream of fresh learning materials. By creating these bridges, L&D can ensure a smooth learner experience, data-driven decision making, and a more connected learning ecosystem.
Are you using AI for learning?
Artificial intelligence (AI) is revamping corporate learning, tailoring the experience to individual needs. AI can analyze learner data to suggest personalized learning paths, with content and microlearning modules that match strengths, weaknesses, and preferred learning styles. This goes beyond static courses – AI can adapt the difficulty and pace of materials in real-time based on a learner’s performance, keeping them engaged and challenged. Furthermore, AI-powered chatbots and virtual assistants are emerging as 24/7 support systems, answering questions and providing feedback on practice exercises. The future holds even more exciting possibilities. Imagine AI automatically creating personalized learning content or crafting immersive VR/AR simulations for practicing complex skills. AI’s ability to predict future skill needs within an organization allows L&D leaders to be more proactive, ensuring training programs stay ahead of the curve. In short, AI has the potential to transform corporate learning into a dynamic and personalized experience that empowers employees to excel.
How can we get the learning analytics we need?
Organizations need learning analytics that demonstrate training effectiveness. This includes metrics on learner engagement (course completion rates, time spent on modules), knowledge acquisition (assessment scores, quiz results), and application of skills (post-training performance metrics, manager feedback). These metrics are typically compiled through a combination of data collected from the LMS (course interactions, assessments), external tools (performance management systems), and surveys to gauge post-training application. By analyzing this data, L&D leaders can identify areas for improvement, personalize learning journeys, and ultimately measure the true impact of training programs on business goals.
