The integration of artificial intelligence (AI) into the educational process represents a transformative shift in pedagogy, learning, and institutional management across the globe. This advanced training course, "Integration of Artificial Intelligence into the Educational Process in the World: Trends and Prospects," is designed to equip educators, administrators, and policy makers with a comprehensive understanding of how AI is reshaping education today and how it will continue to influence the sector in the future. Through an interdisciplinary approach that combines theory with hands-on practice, participants will explore both the technological and humanistic dimensions of AI in education.

Drawing on the latest research and real-world case studies, the course examines key AI applications such as machine learning, natural language processing, and data analytics, which are increasingly driving adaptive learning platforms, intelligent tutoring systems, and virtual learning environments. Participants will analyze how these technologies can personalize instruction, enhance student engagement, and streamline administrative processes. The curriculum emphasizes the practical deployment of AI tools to create data-driven educational ecosystems that are more responsive to individual learning needs and institutional goals.

A significant component of the course is dedicated to exploring the ethical, legal, and social implications associated with AI in education. Through critical discussions and interactive sessions, participants will assess issues related to data privacy, algorithmic bias, and the digital divide. This rigorous analysis will enable educators to implement AI solutions that not only improve learning outcomes but also uphold principles of fairness, transparency, and inclusivity. By engaging with current debates and policy frameworks, the course fosters a responsible approach to integrating AI into educational settings, ensuring that advancements in technology translate into equitable opportunities for all learners.

In addition to ethical considerations, the course provides practical guidance on the integration of AI within existing educational infrastructures. Participants will examine the technical requirements necessary for effective AI adoption, including hardware, software, and network resources. They will also learn strategies for overcoming institutional resistance and for training staff and students to effectively use new technologies. Collaborative projects and workshops encourage participants to design scalable pilot programs that leverage AI to address real-world challenges, such as optimizing curriculum design, improving assessment methods, and enhancing student support services.

Looking to the future, the course explores emerging trends and technologies that promise to further revolutionize education. Topics include immersive learning environments, augmented reality, and advanced human-computer interactions that will define the next generation of educational tools. Participants are challenged to envision innovative solutions that harness AI’s potential to create adaptive, lifelong learning systems capable of meeting the evolving needs of diverse student populations.

Overall, this training course offers a holistic framework for understanding and applying AI in education. By merging cutting-edge technological insights with practical implementation strategies, it prepares educational leaders to drive meaningful change. As AI continues to shape the global education landscape, the insights and skills acquired through this course will be essential for building resilient, forward-thinking educational systems that are ready to embrace the challenges and opportunities of the digital age.

Our partners within this course: Crossref (USA), Private Scientific Institution "Scientific and Research University of Medical and Pharmaceutical Law" (Ukraine).

Registration: https://forms.gle/8MyAtKN4sZCJStTc7.

Further details will be sent upon registration.

Completing this course will grant a certificate for 180 hours (6 ECTS credits)

Participation fee: 500 EUR.

We have special prices for the citizens of Ukraine, please contact us to get additional information. 

Shapovalov Scientific Publishing OÜ is an Estonian Scholarly Publisher available internationally. We were founded in 2021 in Estonia and publish peer-reviewed indexed journals, books and thesis. We also provide in cooperation with other institutions advanced services for scientists and scholars.
Our main goal is to spread Open Science through the publication in open access of scientific articles. We focus on the following scientific fields: medicine, pharmacy, jurisprudence, engineering, social science and information technologies (SSP.EE is a registered trademark of Shapovalov Scientific Publishing OÜ. All rights reserved). 

In 2022 we gained Sponsorship Status with CrossRef and began to provide to our clients a lot of new services to give everything they need in their work. We have a multilingual team of native speakers of various languages to provide them with the best support possible. 

Please, feel free to contact us (Telegram, WhatsApp or e-mail: info@ssp.ee) if you have more questions.

CrossRef 

Crossref makes research objects easy to find, cite, link, assess, and reuse.
 
CrossRef is not-for-profit membership organization that exists to make scholarly communications better. They rally the community; tag and share metadata; run an open infrastructure; play with technology; and make tools and services to all to help put research in context. Metadata enables connections.

CrossRef offers a wide array of services to ensure that scholarly research metadata is registered, linked, and distributed. When members register their content with the CrossRef, they collect both bibliographic and non-bibliographic metadata. 

CrossRef processes it so that connections can be made between publications, people, organizations, and other associated outputs. They preserve the metadata we receive for the scholarly record. We also make it available across a range of interfaces and formats so that the community can use it and build tools with it. Some of their services are only available to members - most of these services are included in membership but some involve an extra fee (marked *). 

CrossRef also offers a range of services free of charge to the scholarly community, with the option of premium service versions at an extra charge (marked ~). Metadata retrieval (including Metadata Plus~)* Content Registration Reference linking Cited-by Funder Registry Similarity Check* Crossmark Event Data More information is available on the CrossRef website.

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