Description
Basic Computer Proficiency required. Read more »
Basic computer proficiency courses are designed for individuals who have limited experience with technology. Participants will learn fundamental skills such as navigating the web, and using basic programs.
Sometimes teachers have the challenge to better address the unique needs of gifted students, ensuring they receive an enriched educational experience with tailored and challenging materials aligned to their interests and abilities.
AI tools can assist educators in efficiently analyzing student progress and adapting their teaching strategies, promoting creativity and critical thinking through interactive and personalized activities.
Moreover, AI can support collaboration between teachers and students, helping to create dynamic learning environments and equip learners with essential skills for future success.
This course will introduce teachers to innovative AI tools that can help identify and support gifted students.
It will save teachers time in preparing materials tailored for gifted learners. Importantly, some gifted and talented students often feel bored and insufficiently challenged to excel.
By providing effective and timely support that works, teachers can help unlock their full potential.
Throughout the course, participants will engage in hands-on activities, customizing materials and designing engaging collaborative tasks that foster future-ready skills such as critical thinking and creativity.
They will be deeply immersed in innovative scenarios to address students’ challenges and AI-driven solutions.
By the end of the course, teachers will be able to tailor their instruction using AI tools that allow for the personalization of educational content according to the specific needs and interests of gifted students.
They will also develop and implement interactive and challenging activities that promote creativity and critical thinking, using AI to analyze student progress and adjust assignments.
Teachers will create an inclusive classroom environment, using AI tools to support neurodivergent students and ensure that all students have equal opportunities for learning and development.
Furthermore, they will refresh their knowledge of the ethical aspects and challenges of using AI in education and how to properly address them in their daily practice.
Finally, they will collaborate with colleagues to develop innovative solutions and strategies to enhance teaching, utilizing the knowledge gained about AI tools.
What is included
Learning outcomes
The course will help participants to:
- Understand the benefits of using AI to enhance the inclusion of gifted students;
- Familiarize themselves with various AI tools and applications that provide support for the specific needs of gifted students;
- Develop skills to integrate AI tools into lessons and activities with the goal of improving engagement and educational outcomes for gifted students;
- Learn the best methods for applying AI to tailor instruction for gifted students;
- Create inclusive lesson plans that incorporate AI and encourage the development of gifted students’ potential;
- Explore ways in which AI can be used to promote critical thinking, creativity, and collaboration among gifted students;
- Utilize AI tools to enhance productivity and efficiency in working with gifted students.
Tentative schedule
Day 1 – Course introduction
- Introduction to the course, the school, and the external week activities;
- Icebreaker activities;
- Presentations of the participants’ schools.
Introduction to AI and gifted students
- Types of AI;
- Introduction to the topic of gifted students.
Day 2 – Ethics, responsibility, and awareness
- AI’s impact and ethical dilemmas;
- Developing responsible use of AI: biases, data privacy, and creative integrity;
- Discussing potential careers in AI and its future influence on various fields;
- AI around as.
Day 3 – AI as a learning accelerator
- Exploring AI tools for personalized learning in any subject;
- Bloom’s taxonomy;
- Using adaptive platforms to enhance gifted students’ abilities;
- Examples from practice.
Day 4 – Combining AI with traditional learning method
- Exploring AI tools for personalized learning in any subject;
- Bloom’s taxonomy;
- Using adaptive platforms to enhance gifted students’ abilities;
- Examples from practice.
Day 5 – Creativity and problem-solving with AI
- Using AI for creative writing, art, music and problem-solving;
- Exploring language models and AI to solve problems in mathematics;
- Using AI simulations and chatbots;
- Implementation of knowledge gained during the course;
- Presenting to the group.
Day 6 – Course closure and cultural activities
- Course evaluation: round-up of acquired competencies, feedback, and discussion.
- Awarding of the course Certificate of Attendance.
- Excursion and other external cultural activities.
