The training and development of your workforce is vital to the achievement of digital transformation success for businesses. And today, more and more businesses are leveraging e-learning to educate their employees. The advantages for businesses using online learning platforms as opposed to traditional training methods are bountiful. First, it lowers business costs since one training session can be delivered to multiple people. Second, topics can be broken down into bite-sized chunks, meaning that employees do not need to spend lengthy periods of time away from their desks.
Training and education of the workforce is key to the digital transformation success of many businesses. One tool that has helped foster this is e-learning, especially, as Digital Journal has reported, e-learning is leading the way as businesses shift their training priorities to embrace a digital-first approach. There are many different forms of e-learning, involving a mix of different channels, content, use of video and so on. A shared objective is the importance of flexibility and a blended approach. Advantages to businesses include lower costs, since one training session can be delivered to many people.
With the continuous evolution of its components, 2019 will be considered as the renaissance period of the entire eLearning industry. There are a few trends that will form the future of the educational system. It has become increasingly popular over the past decade, especially among youth. With eLearning, it has become possible to take a lecture even without being physically present in a classroom. With technological advancement, all that is required is a high-speed internet connection to easily access the lectures online, and in the comforts of your home.
Machine Learning (ML) is a popular buzzword in the field of technology and recently it has entered the eLearning space as well. Machine learning enables computers or machines to make decisions that are data-driven, eliminating the need for explicit programming to execute a task. Machine learning makes use of algorithms that are designed to improve over time depending on the new data they'll be tracking. What if I tell that you've already experienced the benefits of ML without realizing that it's machine learning at work? For instance, if you have tried online food delivery platforms such as UberEATS, have you wondered how the app is able to predict an estimated time of delivery or display a list of popular restaurants near you?