Artificial Intelligence and eLearning: Strength Through Unity | EssayCompany Research

Nowadays, there is a lot of talk about artificial intelligence or computational intelligence. Algorithms are applied to a machine that can learn, solve problems, and offer solutions without intervention. Can artificial intelligence be used in education, providing solutions to the challenges of online education or e-learning? Let's consider that education provides us with physical and intellectual tools to understand the world around us and solve the challenges we encounter. In this study, the essay company will give you the answer to this question.

Precisely, the objective of artificial intelligence is to automate and accelerate such a human and complex task as obtaining information, processing it, reasoning about it, and providing a solution to a problem. It is something that technology currently allows to do quickly in any field of knowledge, in the business world, and, why not, in education.

Processing information, discarding what is not applicable, keeping what is valid, learning, and applying what we have learned. Education is that and more. Hence, artificial intelligence in education is inevitable. That and other associated practices such as Big Data or Machine Learning. All with the same purpose: to embrace the world around us and learn from it as quickly and as well as possible. But how does this translate into practice?

Processing data, improving processes

Artificial intelligence can be applied in many ways and to many aspects of physical education, online education, or e-learning. What's more, distance education uses technology that facilitates data generation. Logins, connected time, processed material, open links, questionnaires, and results. All this information, which used to be processed manually, can now be digested automatically to obtain statistics and analysis of each student and their interaction with the e-learning platform and the online course they are taking.

Teacher evaluation of learners has been done for a lifetime. But artificial intelligence applied to education makes it possible to automate and speed up this process. Practically in real-time and with daily or weekly results. Which students spend more time in the course? Which materials are more useful for the student? What is the performance and evolution of each student? Answering these and other questions is more accessible thanks to artificial intelligence, which allows for personalized and immediate advice to the student. There is no time to waste, especially in e-learning, which is always associated with a tight schedule or requires quick results.

Returning to learner assessment, artificial intelligence can help the teacher see things or details that may go unnoticed, even though learning platforms work with small groups that facilitate personalized assessment. However, four eyes see more than two. In the case of artificial intelligence, combined with data analysis, it can draw attention to problems or weaknesses that the teacher has not seen and can be addressed in time.

Personalized Education in Constant Evolution

We have seen some examples of the benefits of artificial intelligence in education. But its application goes beyond operational management or student assessment. Artificial intelligence can also become an ally in assessing the material and resources used in learning, determining which are most valid, and even generating new content based on the experience provided by AI.

On the other hand, one of the great exponents of artificial intelligence applied to learn is chatbots or conversational bots. Virtual assistants that answer your questions and offer solutions. In addition, they can also be used as evaluators by posing questions to the learner in the form of questionnaires to be carried out at any time of the day, inside or outside school hours. And thirdly, it can serve as a content recommender to expand on what has been learned in class from the resources provided by the teacher.

Artificial intelligence can do all these tasks and personalize the student's experience. Depending on its evaluation and collected data, the answer to the same query may differ for each student. Each one will need various reference resources or adapted explanations. Reinforce certain aspects in each case to obtain the same result: that the student learns in a playful and personalized way.