Issues related to the selection of new smart e-learning e-concepts were also discussed. The main discussion involves the use of natural speech recognition to analyze and recognize spoken language sentences with the help of hybrid artificial neural networks.
Identifying and measuring system performance is called qualitative research. Quantitative research involves testing the quality, reliability, and effectiveness of learning systems.
There has been a lot of discussion about how artificial intelligence makes e-learning easier and more interactive.
The biggest challenge in developing an intelligent e-learning system is to make e-learning software smarter than the human brain. As computers become more powerful and complex, the scope of e-learning has expanded, and training methods have become more and more complex. However, even if the human brain can participate in e-learning, no one can be sure that the e-learning course will best suit a particular topic or topic.
The value of self-regulation is one of the widely accepted learning theories.
Self-regulation is based on the idea that learners can set the boundaries of learning and determine when they are ready to accept what they have learned. Therefore, self-regulation is the core principle of all learning theories. However, if the content of e-learning courses is not suitable for learners, then self-regulation becomes meaningless.
For e-learning developers, it is important to consider this when developing e-learning courses.
E-learning developers need to consider how to create a convenient and highly personalized learning environment. Personalization is very important because it enables e-learning users to make the most of their e-learning courses. This means that e-learning learners do not need to receive information in the same format as the teacher uses, but can experience the information as their own.
There are many ways to personalize e-learning. For example, the use of artificial intelligence can play an important role in personalizing e-learning. Artificial intelligence e-learning software has the ability to detect differences between various types of examples and learners, so that personalized learning can be performed.
Another commonly accepted theory of learning is behavior-driven learning (BDL).
The purpose of BDL is to create an e-learning environment that is behavior-driven and challenges traditional learning theories. This also means that learners can participate in online learning courses without prerequisites. This method is very important when creating a personalized learning environment because it allows E-Learning developers to create an environment where people can learn freely without pressure.
What most learning theories have in common is that they are constructed based on a central assumption: there are significant differences between students’ knowledge and skills, and students can be expected to acquire these knowledge and skills through learning.
A faster method than the traditional method. Another hypothesis is that all learners aspire to be motivated to succeed. Through these two assumptions, all learning theories assume a strong relationship between the learner and the environment in which he or she participates. In other words, the learner and the learning environment are essentially working together for a common goal.
Another assumption made by all learning theories is that the learning environment and students should be designed in such a way that learners can access the knowledge they need at their own speed.
This is especially important for online-based learning environments such as e-learning. Since there are no physical limitations, this delivery speed allows E-Learning developers to design a learning environment that is completely different from traditional classrooms. As a result, online learning courses can provide students with a very wide range of opportunities to acquire the knowledge they need.
The method adopted by the proponents of e-learning development is based on a five-stage learning model. The first stage is mainly related to defining the goals of the e-learning plan, and the second stage is instructional design, in which the actual e-learning course begins.
The actual course design usually includes the content of the second stage, such as courses, activities and tests. However, it should be noted that the first stage has a much greater impact on the entire e-learning experience, because it allows e-learning developers to use a variety of resources, such as multimedia, web applications, and traditional classrooms.