Bänner

Koolituse kood HRC0771/1

Registreerimise tähtaeg

Maht 156 academic hours (contact study 30 hours, independent study 126 hours)

Minimaalne osalejate arv 10

Koolituse hind 890 EUR (participant, VAT won't be added to the price)

Koolituse lõpetamisel väljastatav dokument Certificate from Tallinn University

Koolitusjuht

AI and Playful Learning in Education

Haridusteaduste instituut

This microdegree offered by Tallinn University focuses on the integration of robotics and artificial intelligence into early childhood and primary education. Delivered in a flexible hybrid format via Zoom and telepresence robots, the course empowers educators to creatively and effectively apply educational technology in their teaching practice.

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Koolituse kood HRC0771/1

Registreerimise tähtaeg

Maht 156 academic hours (contact study 30 hours, independent study 126 hours)

Minimaalne osalejate arv 10

Koolituse hind 890 EUR (participant, VAT won't be added to the price)

Koolituse lõpetamisel väljastatav dokument Certificate from Tallinn University

Koolitusjuht

Target group

Early childhood and primary teachers, educational technologists, robotics enthusiasts, school leaders.
Alus- ja alghariduse õpetajad, haridustehnoloogid, robootika entusiastid, koolijuhid.

Objective

To foster learners’ development of competencies required to integrate educational technology, including robotics and artificial intelligence, into diverse learning environments and to effectively implement technology-enhanced teaching and learning processes in early childhood and primary education.

Content

The contact day includes learning of a robotics platform (BeeBot, BlueBot, Ozobot, Dash, Edison, Sphero, Lego WeDo), co-creating a learning resource (a structured document about how to conduct a daily activity or lesson using a robot as a learning tool), conducting a demo lesson to other participants and reflection.

Learning outcomes

- has an overview of robotics tools appropriate for early childhood and primary education, including their characteristics and applications;
- can collaboratively design and adapt learning resources to support integrated teaching using robotics;
- is able to select suitable robotics tools and practically adapt and implement existing learning scenarios according to specific educational needs;
- is able to assess and identify security risks associated with using robotics and artificial intelligence and propose justified measures to mitigate these risks;
- can critically reflect upon their own teaching practices and consciously plan improvements to teaching and learning through educational technology integration.

Requirements

No prior experience with robotics or AI is required, but a basic understanding of technology integration in classrooms will be helpful. Participants are expected to have basic computer literacy and access to the internet, B2 Level English Proficiency. A willingness to explore new tools and methodologies for teaching and learning.

Teacher's competencies

Janika Leoste (PhD), Aalo Banko (MA)

Graduation requirements

This micro-qualification course is part of the Master's curriculum KAA7054.HR "Robot-Integrated Learning in Early Childhood and Primary Education." The course takes place over three (3) months in the 2025/2026 autumn semester, where, in addition to master's students, micro-qualification learners will participate in a hybrid learning format.

The course includes 30 academic hours of contact learning, which takes place via Zoom and telepresence robots and 126 academic hours of independent study in the Moodle environment. Independent learning is conducted entirely online through the Moodle platform, providing participants access to all course materials, interactive content and assignments in a structured digital environment.

Participants will have the opportunity to experiment with various educational tools in simulation environments, even if they do not have direct access to physical devices. This ensures equal learning opportunities and practical engagement with the latest technologies. One such resource is the OzoBlockly Simulator, which allows users to program a virtual Ozobot using block-based coding. This online platform provides a realistic programming experience without requiring physical hardware.

Students have flexible options for attending lectures: they can join live sessions via Zoom or participate remotely through a virtual telepresence robot. All lectures will be recorded and made available for later viewing.