Top Research Papers on AI in Education

Artificial intelligence continues to evolve and day by day has more applications in the various fields of human activity and will have a greater impact on education every day according to what has been appreciated so far.

This paper ambitions to define studies on ai packages in better schooling through a scientific assessment concerning nep-2020 through a scientific assessment concerning nep-2020.

This paper reviews the state-of-art of the application of Artificial Intelligence techniques in the field of Education, focusing on the most popular educational tools based on AI, and the most relevant AI techniques applied on the development of intelligent educational systems.

It is important to remember that AI is a tool, not a replacement for humanity, and finding a balance between using it to make the authors' lives easier and destroying human values and ethical principles is a very important task for every student and teacher.

Two views on the relationship between AI and education are discussed: one on how can AI enhance education, help personalize the learning experience, help teachers in their endeavor, and its impact on e-learning, and the other on how education in AI has to be conceived to create the work force required to face this new technological revolution.

The opportunities and challenges caused by AI in education are analyzed and the focus is on the role of AI, which is difficult to separate from other technology-driven changes, especially in the discussion about work life.

The article describes training robots based on the Robot Operating System, i.e. based on a set of software libraries and tools that help create applications for robots.

The article examines the impact of Information Technology (IT) and Artificial Intelligence (AI) in education, the joint design of working with high technology and the need for effective policy development. The use of AI in education is an important topic for teachers from both a conceptual and a practical point of view. Ethical challenges in the training and working with AI are on the agenda. It is necessary to adapt the educational programs for future pedagogues in regards to implementing AI in teaching and training.

The article discusses the use of artificial intelligence in education and its progressiveness, as well as problems in the use of artificial intelligence at present time. Contains answers to the question: “Is it necessary to use artificial intelligence in education?” It also contains information about the emergence and development of artificial intelligence. The opinion about artificial intelligence in education, namely in higher educational institutions as an academic discipline, was considered. The place of artificial intelligence in education, the negative sides and the positive sides were c...

This chapter highlights the role of artificial intelligence in the development of intelligent tutoring systems and how these are providing personalized instructions to students with and without disabilities.

Examination of existing research on methods of using MT in classroom learning and a novel approach for the practical and efficient utilization of GNMT in translation-learning classroom propose a novel strategy for optimizing the efficacy of GN MT tools in the context of classroom learning.

Investigation of the impact of pedagogical agents ’ conversational formality on learning and engagement in a trialog-based intelligent tutoring system showed that the agents ’ informal discourse yielded higher performance, but elicited higher report of text dif fi culty and mind wandering.

This chapter examines current insights and future perspectives of AI in various contexts, such as natural language processing (NLP), machine learning, and deep learning, from an educational perspective.

This chapter presents some ideas for such learning-training environments in education based on experience-based intelligent tutoring systems, and intended primarily for executing better lessons and for students’ self-learning.

Various applications of AI in education are provided, allowing a degree of flexibility and customization that was never before possible in education.

The notions behind what Big Data is and what it means in the authors' current society; how data is the new currency that has driven the use of algorithms in all areas of their society, and specifically in the field of Artificial Intelligence; and the concept of ‘black boxes’, and its possible impact on education.

This project illustrates the benefits of integrating AI in education, such as improved engagement, accessibility, and overall educational outcomes, and addresses challenges associated with AI adoption, including ethical considerations, data privacy, and the need for ongoing teacher training.

This chapter tries to delve into the difficulties of using affordable techniques for generating valid synthetic information such as rating homework or understanding if students are correctly following distant lessons.

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.

Based on the cognitive science/AI paradigm, a revised model of the well-known Karplus/Renner learning cycle is proposed and the concept of “microworlds” as a powerful tool for science education is presented.