Course:
"Education System Development Strategy"
Language:
EN
Form:
on-line / in-person
Duration:
5 hours (on-line)
6:30 hours (in-person)
+30 min. break
6:30 hours (in-person)
+30 min. break
Aligned with SDG:
Place:
Dates:
Lang.:
London (UK)
18 June 2025
Bordeaux (FR)
11 July 2025
Buenos Aires (AR)
12 August 2025
on-line
20 Sept. 2025
New York (US)
11 Dec. 2025
If our course is not available in your location and you believe it should be, let us know by clicking HERE. We will explore the possibilities and get back to you.
COURSE OBJECTIVE:
The primary focus of this course is to promote innovation and collaboration among students in schools, as key outcomes of the changes introduced to the education system. By integrating emerging technologies such as artificial intelligence (AI) and big data, the course aims to create an educational environment that fosters these essential skills. Participants will explore how AI can be utilized to develop adaptive learning programs that cater to individual student needs, encouraging creativity and improving academic performance.
The course will also cover the use of big data to analyze school performance, identify trends, and optimize educational practices that support innovation in student learning. Furthermore, it will address how technology can be applied to combat issues like cyberbullying, ensuring a safer and more inclusive environment for students.
By the end of the course, participants will be equipped with the knowledge and tools to contribute to the development of education systems that promote innovation and collaboration among students, preparing them for future challenges in an ever-changing world.
The primary focus of this course is to promote innovation and collaboration among students in schools, as key outcomes of the changes introduced to the education system. By integrating emerging technologies such as artificial intelligence (AI) and big data, the course aims to create an educational environment that fosters these essential skills. Participants will explore how AI can be utilized to develop adaptive learning programs that cater to individual student needs, encouraging creativity and improving academic performance.
The course will also cover the use of big data to analyze school performance, identify trends, and optimize educational practices that support innovation in student learning. Furthermore, it will address how technology can be applied to combat issues like cyberbullying, ensuring a safer and more inclusive environment for students.
By the end of the course, participants will be equipped with the knowledge and tools to contribute to the development of education systems that promote innovation and collaboration among students, preparing them for future challenges in an ever-changing world.
BARTOSZ BARTOSZEWICZ, PhD
The course will be led by Bartosz Bartoszewicz, a highly accomplished former Deputy Mayor with nearly two decades of experience in local government. Throughout his distinguished career, he has been at the forefront of urban transformation and digital innovation, winning the prestigious Innovation in Politics Award, organised by the Austrian Innovation in Politics Institute. This recognition highlights his outstanding contribution to advancing smart city initiatives and improving quality of life through innovative policies.
Bartosz holds a Doctorate, with his doctoral thesis focusing on the quality of life in urban areas—an area that remains central to his work in public administration and city management. As an academic lecturer, he has taught sharing his knowledge and expertise with the next generation of leaders and urban policymakers. His extensive experience in both theory and practice has enabled him to bridge the gap between academic research and real-world application, enriching his teaching and professional approach.
In addition to his academic work, Bartosz delivered presentations at international conferences on urbanisation, sustainable city management, and digital transformation. His insights have shaped discussions on the future of cities, particularly regarding the integration of smart technologies and sustainable urban planning. His work provides a deep dive into how cities can harness technology to improve residents' lives while promoting sustainability and resilience.
With a career spanning leadership, academia, and international speaking engagements, Bartosz Bartoszewicz offers a wealth of knowledge and practical insights. He combines the experience of a long-serving mayor with a solid academic foundation, providing a unique perspective on the challenges and opportunities of urban transformation. Participants in the course will gain invaluable knowledge from his diverse background, exploring both the practical and theoretical aspects of innovation, urban management, and smart city development.
PROGRAM:
1. Introduction to the Course
- Course objectives and expected outcomes
- The importance of innovation and collaboration among school students
- A brief introduction to technologies: Artificial Intelligence (AI) and Big Data in education
2. Artificial Intelligence in Education: Theory and Applications
- Definition and fundamental principles of Artificial Intelligence
- How AI can support adaptive learning programmes: examples and benefits
- Personalising learning with AI: algorithms and recommendation systems
- Examples of AI in education: intelligent assessment systems, educational apps, chatbots
3. Big Data in School Performance Analysis
- Introduction to Big Data and its role in education
- Analysing learning outcomes, recognising patterns, and optimising educational processes
- Examples of Big Data applications in school management: assessments, attendance, student engagement
- Using data to monitor and improve education quality
4. Combating Cyberbullying with Technology
- Definition of cyberbullying and its impact on students
- Technologies for combating cyberbullying: monitoring, support platforms, and education
- Examples of tools and apps supporting the fight against cyberbullying
- Creating a safe and inclusive online environment
5. Promoting Innovation and Collaboration Among Students
- Fostering creativity and collaboration skills through technology
- How technologies support interaction and group projects among students
- Examples of educational projects and initiatives promoting innovation and collaboration
- The role of teachers in creating a culture of collaboration in schools
6. Workshop (in-person course only): Practical Applications of AI and Big Data in Education
Part 1: Designing Adaptive Learning Programmes Using AI
Part 2: Using Big Data for Performance Analysis and Optimising School Processes
Part 1: Designing Adaptive Learning Programmes Using AI
- Case study analysis and designing learning programmes using AI
- Group work: developing an idea for an adaptive learning programme
Part 2: Using Big Data for Performance Analysis and Optimising School Processes
- Examples of analysing data on student performance
- Group work: designing a system for monitoring student outcomes and engagement
- Summarising workshop results, group presentations
7. Conclusion and Key Takeaways
- Summary of the main topics covered during the course
- Key conclusions and recommendations for developing education systems using new technologies
- Discussion: How can the presented solutions be implemented in UK schools?
- Q&A and course wrap-up
Module: Workshops in groups
An online course is an excellent opportunity to broaden your knowledge. However, we recognise that a significant value of courses lies in the exchange of experiences among participants. This requires a certain level of openness and willingness to collaborate, which can sometimes only be fully unlocked through face-to-face interaction and the use of appropriate workshop solutions. That is why the programme for in-person courses includes 'Workshops in groups using real documents and a selected workshop format,' lasting approximately 90 minutes. These workshops are conducted during the second part of the course.
COURSE METHOLODOGY:
The course methodology is interactive and student-centred, blending theory with practical application. It starts with structured lectures on AI, Big Data, and their educational applications, supported by real-life case studies. Participants will engage in discussions to explore how these technologies can foster innovation and collaboration among students.
Through case studies and best practices, participants will learn from successful examples of AI, Big Data, and anti-cyberbullying technologies in schools. Hands-on workshops will allow participants to design adaptive learning programmes using AI and analyse school performance with Big Data. Group work will promote teamwork and creative problem-solving.
The course includes Q&A and feedback sessions for clarification and personalised guidance. It concludes with reflection and action planning to help participants apply their learning to their own educational contexts. This approach ensures active participation and the development of practical skills for implementing AI and Big Data in education..
The course methodology is interactive and student-centred, blending theory with practical application. It starts with structured lectures on AI, Big Data, and their educational applications, supported by real-life case studies. Participants will engage in discussions to explore how these technologies can foster innovation and collaboration among students.
Through case studies and best practices, participants will learn from successful examples of AI, Big Data, and anti-cyberbullying technologies in schools. Hands-on workshops will allow participants to design adaptive learning programmes using AI and analyse school performance with Big Data. Group work will promote teamwork and creative problem-solving.
The course includes Q&A and feedback sessions for clarification and personalised guidance. It concludes with reflection and action planning to help participants apply their learning to their own educational contexts. This approach ensures active participation and the development of practical skills for implementing AI and Big Data in education..
COURSE SUMMARY:
This course explores the role of emerging technologies, specifically Artificial Intelligence (AI) and Big Data, in transforming education systems. It focuses on how these technologies can enhance adaptive learning, promote innovation, and improve collaboration among students. Participants will learn how AI can personalise learning programmes and how Big Data can be used to optimise school performance and decision-making. The course also addresses the application of technology in combating cyberbullying, fostering a safer learning environment.
Through a combination of lectures, case studies, discussions, and hands-on workshops, participants will gain practical insights into implementing these technologies in schools. They will also explore real-world examples and best practices for creating innovative, data-driven, and collaborative educational systems. The course aims to equip participants with the knowledge and skills needed to develop and manage modern education systems that support both academic success and student well-being.
This course explores the role of emerging technologies, specifically Artificial Intelligence (AI) and Big Data, in transforming education systems. It focuses on how these technologies can enhance adaptive learning, promote innovation, and improve collaboration among students. Participants will learn how AI can personalise learning programmes and how Big Data can be used to optimise school performance and decision-making. The course also addresses the application of technology in combating cyberbullying, fostering a safer learning environment.
Through a combination of lectures, case studies, discussions, and hands-on workshops, participants will gain practical insights into implementing these technologies in schools. They will also explore real-world examples and best practices for creating innovative, data-driven, and collaborative educational systems. The course aims to equip participants with the knowledge and skills needed to develop and manage modern education systems that support both academic success and student well-being.
TERMS AND CONDITIONS FOR COURSES AND TRAININGS SESSIONS OF HAPPY CITY ACADEMY - SELECTED KEY RULES:
Enrollment
Enrollment is confirmed upon submitting a completed enrollment form and paying the Initial Payment of £30. The remaining balance must be paid at least 30 days before the course starts. For enrollments made less than 30 days before the start date, payment of the full course fee is required at the time of enrollment.
Confirmation
Participants will receive a confirmation email, including the course schedule, venue or platform details, and contact information.
Withdrawal Rights
Participants may withdraw within 14 days of enrollment for a full refund, including the Initial Payment.
Terms and Conditions for Courses and Training Sessions of Happy City Academy
Enrollment is confirmed upon submitting a completed enrollment form and paying the Initial Payment of £30. The remaining balance must be paid at least 30 days before the course starts. For enrollments made less than 30 days before the start date, payment of the full course fee is required at the time of enrollment.
Confirmation
Participants will receive a confirmation email, including the course schedule, venue or platform details, and contact information.
Withdrawal Rights
Participants may withdraw within 14 days of enrollment for a full refund, including the Initial Payment.
Terms and Conditions for Courses and Training Sessions of Happy City Academy
COSTS OF PARTICIPATING IN THE COURSE:
