**2.1. Artificial intelligence**

It is necessary to ignore the individual differences of learners without learning. It is imperative to configure the learning environment and personalize teaching for each user. Artificial intelligence algorithms are used to design e-learning environments that will be created in this way.

New technologies are now seen as complementary support, not as core techniques of educational practice. The use of artificial intelligence (AI) techniques is beneficial to learners in this sense [7]. Artificial intelligence (AI) operating systems, programming languages, and modern software are realized through computer science. Artificial intelligence (AI) is linked to "mainstream" computer science studies, time-sharing, interactive interpreters, linked list data types, automatic storage management, and so on. Some of the key concepts of artificial intelligence are object-oriented programming and graphical user interfaces and integrated program development environments. Artificial intelligence (AI) is in the pattern with evolutional algorithms, fuzzy logic, and neural networks concepts [8, 9].

Education and artificial intelligence (AI) are two sides of the same medal: education helps learners learn and expand the accumulated knowledge of a society, and artificial intelligence (AI) provides techniques for understanding the mechanisms underlying thought and intelligent behavior. Because of this, today's artificial intelligence-assisted e-learning scenarios are widely used by educational institutions to provide better teaching and learning experiences throughout their training activities. Artificial intelligence (AI) leads to the development of a wide range of artificial intelligence tools as theory and practice. Sometimes, these tools, working under the guidance of a human being and sometimes without an external guide, can solve or help solve a growing number of problems. Artificial intelligence (AI) has produced many important results for students, teachers, the general education system, and societies over the past 50 years (**Figure 1**) [10–12].

#### **2.2. Micro credentials**

E-Learning is a computer-based educational tool or system that enables you to learn anywhere and anytime [1]. e-Learning strategies are spreading to include different education sectors. In this regard, learners indicate that e-learning has made education effective. It is also stated that the most basic benefit of e-learning is flexibility [2]. e-Learning can be considered as a motivation factor in terms of self-efficacy. Students can organize their motivations on e-learning themselves [3]. e-Learning also serves institutions and organizations that want to

How can we tell the difference between traditional learning and e-learning? Traditional education is a way for the teacher to present the learning material to the students in the class. The main difference between e-learning and class-based learning is the way in which education is transmitted. In fact, this is a very basic difference. In traditional learning, the teacher can fully control the learning environment by adapting it and, if necessary, changing it. In traditional learning, the teacher's ability, personality, quality, adaptation to the learning situation, and

New focus of e-learning environments is to identify the content area and individualization. In this sense, learners will be included in different e-learning environments. A personal application can be made to be a candidate. In addition, content is rapidly increasing in our time. For this reason, new e-learning materials for learners need to be developed. The e-learning environments that have recently taken place in our lives are artificial intelligence (AI), micro credentials, big data, blended learning, virtual and empowered reality, cloud e-learning, gamification, mobile learning (m-learning), Internet of objects, and online video titles. These new e-learning trends offer significant benefits, such as creating the best education and development plan, creating it in a flexible environment, and creating and maintaining a personal

Let's take these new e-learning trends in turn. Let's also look at the benefits of these e-learning

It is necessary to ignore the individual differences of learners without learning. It is imperative to configure the learning environment and personalize teaching for each user. Artificial intelligence algorithms are used to design e-learning environments that will be created in this way. New technologies are now seen as complementary support, not as core techniques of educational practice. The use of artificial intelligence (AI) techniques is beneficial to learners in this sense [7]. Artificial intelligence (AI) operating systems, programming languages, and modern software are realized through computer science. Artificial intelligence (AI) is linked

the creation of course material affect the learning-teaching performance [5, 6].

provide consistent education in more than one place [4].

**1.1. What are the new e-learning trends?**

2 Trends in E-learning

learning environment and continuity.

environments in terms of learners.

**2.1. Artificial intelligence**

**2. Overview of new e-learning trends**

In education, teachers need to create experiences for students and to experience competencebased learning. Micro credentials can help teachers build personalized, competency-based learning paths and be recognized for a wide range of valuable and important learning experiences. More demand for micro credentials learning plays a central role in how the learner will be presented and evaluated. Micro credential is a focused, short delivery based on competency.

**Figure 1.** What contributes to artificial intelligence? [13].

Students will receive "deep" knowledge of a specific topic and will show the application of this knowledge [14, 15].

Student data collected by online learning systems are examined to develop predictive models by applying educational data mining methods that classify or relate data. These models play a key role in shaping adaptations or interventions based on model predictions, to promote adaptive learning systems that can be used to inform learners outside academic services to support what they can learn or to modify student experiences. Two areas specific to big data use in education can be mentioned. One of them is educational data mining and the other is learning analysis [20, 21]. Big data enables a wide variety of data sources to be added, allowing analysis of these various data types. Analytical and predictable options are expanding.

New Trends in e-Learning

5

http://dx.doi.org/10.5772/intechopen.75623

With the use of technologies such as virtual and empowered reality, students can be more visually aware of their classmates and chat with them in real time. They can get immediate feedback from their teachers and get the feeling of being in the same spot with their peers despite their remote physical location. These shared virtual environments also facilitate simultaneous viewing of classroom learning materials and allow group discussions of learning content to be shared at the same time. The use of the virtual reality environment in education and training, which brings many innovative advantages to people of all ages, is impressive [24, 25]. The greatest advantage of using virtual reality to teach purposes in the field of education is that it is highly motivating. In terms of their use in the field of education, for example, when modeled in a molecule virtual and empowered reality, students can examine it in detail and become familiar with molecules, wander, and parts. Virtual and empowered reality allows an object to be examined from a certain distance and shows the whole rather than a piece. The virtual and empowered reality model of a neighborhood offers a different perspective to the

It is also possible to interact based on cooperation with virtual and empowered reality. Therefore, virtual environments also increase the interaction and cooperation between students. These advantages increase student participation by using engaging experiences, reducing attention distractions, and creating positive attitudes when students receive better

Blended learning is a case in which a lesson takes place partially online and partly in other ways. In other words, students learn what they learn online in face-to-face environments. In addition, students have control over their own speed. Some researchers believe that this link between a method in a field or in the subject should be included in the definition and the basis

Blended learners have a lot to contribute to the field of education. Blended learning enables an enhanced learning experience by enabling various learning environments. It encourages reinforcement. It increases the accessibility of learning materials. It helps create a sense of community and cooperation through forums to share collaborative and communication platforms

connections between residents, buildings, streets, and open spaces [26].

feedback to easily reach their learning goals [27].

**2.5. Blended learning**

for blended learning [28].

This allows for better progress in education [22, 23].

**2.4. Virtual and empowered reality**

The micro credential is not a single-size fit, it is personalized instead. The micro credential honors the fact that all training professionals and students need something different. And with digital tools, this learning can take place anytime and anywhere [16]. Micro credential offers a strategy for teachers to expand their learning and to confirm and accept recognition as they progress through vocational learning. One of the reasons why micro credential is attractive is that it divides complex teaching skills into basic pieces. Trainees can develop and demonstrate competence at the beginning of each instruction and then link these skills to master competence in complex skills. Teachers can choose which skills or which parts of a skill they will most benefit from professional practice and demonstrate competence by offering what they can do [17].

#### **2.3. Big data**

Recent developments in database technologies have made it possible to accumulate and maintain large and complex amounts of data from many forms and from multiple sources. In addition, this complex data is meaningful, and there are analytical tools that can transform the mold. These tools are called big data. It is very important to put teachers into "big data" discussions, because they are the ones that will provide the progress in research and analysis. The projects that teach teachers about which pedagogical techniques are most effective, or how they have changed the way students learn, make it possible for instructors to do a better job. Adapting education to individual students is one of the greatest benefits of technology, and great value helps teachers personalize their learning. In this sense big data holds an important place in education (**Figure 2**) [18, 19].

**Figure 2.** Three essential stages of big data [19].

Student data collected by online learning systems are examined to develop predictive models by applying educational data mining methods that classify or relate data. These models play a key role in shaping adaptations or interventions based on model predictions, to promote adaptive learning systems that can be used to inform learners outside academic services to support what they can learn or to modify student experiences. Two areas specific to big data use in education can be mentioned. One of them is educational data mining and the other is learning analysis [20, 21]. Big data enables a wide variety of data sources to be added, allowing analysis of these various data types. Analytical and predictable options are expanding. This allows for better progress in education [22, 23].
