We can find several niches for e-learning, such as higher education, the corporate sector, the public sector and government, or e-learning for individual consumption.
Academic institutions have been taking advantage of e-learning tools such as learning management systems (LMS) in order to provide the students with a centralized and more dynamic platform for learning. Additionally, higher education institutions are increasingly offering online MAs and courses in order to reach a higher number of students (which translates in more money) and to gain prestige (more money as well).
Enterprises see employee training as an opportunity, or rather, as a necessity too. Six years ago already, IBM recognized the importance of the people for a company, and how providing them with the right skills through the proper training can make all the difference. To prove so, they carried out a study on the value of training.
In the same study, they unsurprisingly point out that “84 percent of employees in Best Performing Organizations are receiving the training they need, a full 68 percent better than worst-performing companies.”
Governments, as a sort of a giant public enterprise, have learning requirements for their public employees as well. New laws are passed every day, tax requirements can change, procedures are updated, and so on. The public employees need to be up to date across the different states, countries, bodies, agencies or organizations. This could be very hard to manage. However, e-learning can provide seamless and flexible solutions to cover public needs. For example, keeping track of the employees that have taken certain courses, or providing official certificates after a course is done.
Our need for lifelong learning has also spurred some private companies such as Udacity, Coursera, MasterClass, or LinkedIn Learning to offer a catalog of free and paid courses for individual users.
Previously we discussed the importance of staying relevant, and how e-learning can provide the right tools to academia, the corporate sector, government or individuals to help streamline the learning process and deliver educational content in an efficient (and brand new) way.
As of November 2022, everybody in the language industry is talking about ChatGPT. It is an undeniable trend firmly occupying the minds of many. New implementation scenarios and use cases for ChatGPT emerge daily, and GPT-4 has just been released. But will it stay as hyped in the next five years, or will it become as normal as Machine Translation (MT) for us?
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