Infopro Learning

DECEMBER 29, 2023

Instructional designers can input data from analysis into AI to make learning objectives that match what is needed. AI tools can recognize task patterns, recommend the best order to do them, and predict any problems learners might face. AI can improve how learners use learning systems, chatbots and virtual learning environments.

Instructional Design 221

Instructional Design ADDIE Analysis Evalution 221

Hurix Digital

SEPTEMBER 8, 2023

Learning Style Compatibility Acknowledging that not all students’ learning styles are suited to eLearning modules is important. Some individuals may thrive in a visual or auditory learning environment, while others require kinesthetic or hands-on experiences.

Module 40

Module Diversity Training Blended Learning eLearning Strategy 40

Instancy

APRIL 24, 2023

Learning Analytics to Evaluate Impact, Adapt and Personalize for Each Learner Learning analytics is transforming the way we learn by providing insights into learners’ behavior, preferences, and performance, allowing organizations to adapt and personalize learning content for each learner.

Mobile 52

Mobile Simulations Virtual World Performance Support 52

Instancy

MAY 4, 2021

AI technology is being used to automate tasks by processing and analyzing information or data to recognize patterns, decision-making, enhance productivity, and maximize performance. Artificial intelligence is characterized by its ability to rationalize and take actions that are best suited to achieve specific goals.

Change 52

Change Blended Learning Simulations Methods 52

Hurix Digital

OCTOBER 19, 2023

Learning analytics can help identify the strengths and weaknesses of each learner, as well as their learning styles and patterns. You can also use different formats and modes of delivery to suit different preferences and availability.

Personal Learning 52

Personal Learning Personal Personalization Industry 52

Instancy

AUGUST 8, 2023

Artificial intelligence (AI) is the attempt to create computational systems that mimic human cognitive abilities. It includes many other types of computing, such as machine learning, NLP, and CV. In addition, AI-enabled adaptive learning platforms can modify course material and study speed in real time to better suit each learner.

Simulations 52

Simulations Develop Virtual World Training 52

Instancy

AUGUST 14, 2023

AI-based learning systems, intelligent chatbots and virtual training environments can help companies reduce or eliminate these costs. The potential applications of AI in corporate learning are extensive and diverse. Personalized learning paths, automated content delivery and intelligent scheduling are some automation benefits.

Simulations 52

Simulations Effectiveness Diversity Training Augmented Reality 52