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Why is it Important to Measure Your Corporate Training Programs with Learning Analytics?

Infopro Learning

The levels are reaction, learning, behavior and results. Learning analytics can be used to identify learner patterns to find key insights that can improve employee engagement. For example, you may find that the most popular learning modules with the highest engagement in one of training programs have a lot of video content.

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Discerning Patterns as a Leadership Skill (Episode 12 of “How Do I Lead Now?”)

Cylient

” Cylient CEO Dianna Anderson shares ways for discerning patterns as a leadership skill. Why Discerning Patterns is Important. However, with systems and patterns, it’s more important to understand how different parts connect to find what will make the most meaningful change. Where to Start. Reflection Questions.

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Can Fun Help Change Behaviors?

Upside Learning

We advocate inclusion of games & fun interactions to achieve long term learning, and change of behaviors. This video below from the fun theory , an initiative of Volkswagen, shows just how fun could be effective in getting people to consider changing their habits. A Follow-up Post Patterns at Play – Fundamental to Games.

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Harnessing Video Analytics in Totara

Webanywhere

One such innovation is the Webanywhere Totara Plugin for Video, a game-changer that not only lets you seamlessly host and deliver videos from platforms like Vimeo, Panopto, and Brightcove within your Learning Management System (LMS) but also empowers you with in-depth video analytics that elevate your training strategy to new heights.

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Agile Microlearning Explained

Learner engagement and retention doesn’t have to be a mystery. Cognitive science theories already supply the answers. Learn how OttoLearn packages them into a single platform you can use to deliver microlearning based reinforcement training, and go beyond completions to focus on outcomes.

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Machine Learning Enables Workforce Transformation

Infopro Learning

Real-life examples people use in their everyday lives can be found while shopping online or watching videos. Businesses like Amazon and YouTube utilize machine learning to make recommendations about products or videos you may want to watch or purchase next. These insights can be used to make optimizations or updates when needed.

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Emerging eLearning Trends That Will Shape 2022

Harbinger Interactive Learning

Poonam: Using data to track learner actions, and AI to make intelligent recommendations based on common patterns, are the two key drivers that are helping deliver personalized learning experiences. Earlier there was limited tracking of information in terms of score and completion of learning.