Objectives: Artificial intelligence can learn without explicit instructions and has multiple applications in radiology. Whereas many publications have focused on teaching radiologists about artificial intelligence, our goal in this study is to focus on how artificial intelligence can teach radiology trainees better. Key Findings: Although the idea of using artificial intelligence to improve education is not new, the application of artificial intelligence to radiology education remains limited. Based on the limited research that has been published on its current status we highlight some of the developments that have occurred in this field. Conclusion: Artificial Intelligence can be used to enhance radiology education. Implication for practice: Radiologists and radiographers should know the latest trends in Artificial Intelligence to utilize in departmental education.

The development of artificial intelligence has become one of the key drivers of modern society. An attention has to be paid to the methods and tools available for training and education of users of intelligent systems. The youngest generation is exposed to artificial intelligence from an early age and its education is therefore of utmost importance. With respect to the early childhood development, the concept of artificial intelligence should be introduced into education as soon as possible. It can greatly contribute to the development of children’s creativity, collaboration, comprehension and other abilities. There are many tools that can be used to aid the early age education on artificial intelligence. In this article, a brief survey of tools for the education of children in different age groups on artificial intelligence is provided.

Due to the growing interest in artificial intelligence in recent years, teaching this discipline to students of applied technical specialties is becoming relevant. Despite the formation of this scientific direction for almost 70 years, there is still no clear understanding of the terminology of this science, its tasks at the present stage and its application in engineering education. Moreover, the artificial intelligence terminology often misleads students. The article examines the current situation with the development of ideas related artificial intelligence, the possibility of its using in engineering education. Based on the analysis of the real possibilities of artificial intelligence, the actual content of education in the discipline of “Artificial intelligence in transport construction” is determined. The article focuses on users of artificial intelligence, not developers. The authors consider the competencies of a specialist that can be formed during the study of the above indicated discipline, as well as new relevant competencies that are necessary for a specialist in connection with the wide dissemination of artificial intelligence in the conditions of his/her professional activity. The functional model of artificial intelligence used in teaching students how to interact with it is considered. The article gives the examples of tasks solved by students today with the help of artificial intelligence technology during trial training.

Artificial intelligence has the capacity to open new opportunities and potentials for engineering education. Artificial intelligence in education has undergone several paradigmatic shifts in its brief history. This study investigates the advent, development and future trends of artificial intelligence-based smart engineering education (AIED-Eng). Particular focus is placed on major paradigms in AIED-Eng including leaner-receiver, learner-partner and learner-center. The artificial intelligence techniques applied to these paradigms are evaluated. Computer-based tools enabling the engineering education paradigms are summarized. Further discussion is presented about the key role of artificial intelligence in improving smart engineering education as a guidance for future learning, teaching and design processes

Currently the importance of artificial intelligence in education worldwide is recognized. In this paper the general objective was determine the situation of artificial intelligence and education. Methodology, in this research, 57 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. The keywords used in the searches were: Artificial intelligence and education. Results, Artificial intelligence will have a greater impact on education every day, according to what has been appreciated so far. An important example today is ChatGPT, which shows us the benefits and challenges of AI in education. Conclusions, Artificial intelligence continues to evolve and day by day has more applications in the various fields of human activity. An important example today is ChatGPT, which shows us the benefits and challenges of AI in education. It is important that governments can invest more economic resources in education and in strengthening the domain of ICT by teachers and students. It is necessary to invest in financing research that supports the creative and innovative use of AI in education worldwide and especially at the Latin American level.

In order to overcome the shortcomings of traditional music teaching methods, this paper proposes a music teaching method based on artificial intelligence. The new method combines the characteristics of traditional music education and artificial intelligence to improve the quality of music teaching. The experimental results show that artificial intelligence can effectively improve the quality of traditional music teaching and effectively promote the development of music education

Artificial intelligence-deployed applications for learning are in use and made way into the field of education for quite some time. Therefore, its requirement forces teachers, learners, and stakeholders more than ever in the past. The aim of the current study is to provide focus on the matter that implementation of AI is not a choice but a need. As education technology evolves as a new standard, all the stakeholders involved in education must deploy AI to obtain the basic education goals, i.e., it must be individualized, effective, transformative, output based, integrative and long lasting. The current research is to portray the transformation in methods of education and put forward the current directions in incorporating artificial intelligence. The investigators contemplate on this issue and attempt to address how advancement of AI is contemporaneous with advancement in education. The pursuit to examine this circumstantial believes to add productive surface for a fruitful consideration on probing the power of artificial intelligence-based e-learning applications.

This paper considers artificial intelligence as a potential contributor to education and training. There are currently two views about artificial intelligence in this context. The first sees artificial intelligence as a source of ready-made software products, the second as a rich storehouse of ideas, tools and metaphors. A realistic appraisal of artificial intelligence research suggests that the first view is untenable at present because of the paucity of off-the-shelf products currently available, so it is more productive to view artificial intelligence as an intellectual storehouse. This view is reinforced by the fact that many of the intellectual concerns of artificial intelligence researchers are also those of teachers and trainers.

With the great advancement of technologies in recent years, Artificial Intelligence has been assuming a relevant role in several areas of knowledge. The use of this technology has been developing for more than two thousand years with the aim of providing the computer with the ability to think and act like a human being. In this context, this work aims to deepen the studies of Artificial Intelligence, with a focus on education, showing ways of how it is possible to introduce this technology in the classroom, providing student interest and better teaching and learning. The main aspect that will be presented in this theme is the use of educational robotics as a learning tool, helping to improve logical reasoning and the student's cognitive capacity. The methodology addressed in this paper was the exploratory research and the bibliographic review carried out from the theoretical framework found in articles, books and scientific journals. In conclusion, this work intends to present concepts and applications in the use of Artificial Intelligence (AI) in education, presenting some lines of research and promoting new trends in studies.

This book explains how human learning is promoted by applying artificial intelligence to education. Before that, let’s first look back on how information technology including artificial intelligence contributed to education. Various technologies have been developed to make it easier for learners to learn and to create an environment where teachers can more easily teach. An example of this is called e-learning or intelligent tutoring systems (ITS). e-Learning is an educational system using online media and has developed together with web technology. ITS was developed using a rule-based system which is an initial result of artificial intelligence. In the process, user models for learners called learner models and educational contents have been improved. As an application of data science, technology called learning analytics was developed. This is a technique for statistically analyzing learner’s historical data obtained by e-learning, etc. and discovering the characteristics of the learner. This will contribute to personalized learning that adapts the educational system to the learner’s characteristics. Furthermore, the development of learning analytics will clarify the concept of evidence-based education. As with medical care, we should construct a feedback loop that educates in accordance with data-based analysis and the learning strategies obtained from it, and improves if there are problems. Machine learning, which is an important achievement of recent artificial intelligence, is used for data analysis at this time. In addition, we will use a method that lets machines do the feature extraction from data called deep learning. In this chapter, I will touch them in detail.