Empowering Teachers with Robotics Video Tools for Reducing Math Anxiety

Kornelija  Kazukauskiene; Danguole  Rutkauskiene; Ineta Helmane; Nadezhda  Borisova; Elena  Karashtranova; Hasan  Arslan; Kadir  Tunçer; Aleksandra  Zając

doi:10.17148/IARJSET.2025.12738

Empowering Teachers with Robotics Video Tools for Reducing Math Anxiety

Kornelija Kazukauskiene^*
, Danguole Rutkauskiene
, Ineta Helmane
, Nadezhda Borisova
, Elena Karashtranova
, Hasan Arslan
, Kadir Tunçer
, Aleksandra Zając

^*Šī darba korespondējošais autors

Izglītības zinātņu un psiholoģijas fakultāte

Baltic Education Technology Institute,
South-West University Neofit Rilski
Canakkale Onsekiz Mart University
Uniwersytet Kardynała Stefana Wyszyńskiego

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

Kopsavilkums

Reducing mathematics anxiety in primary education requires empowering teachers with effective, practical strategies. This study explores a blended professional development approach that combines educational robotics and scenario-based video resources to help teachers create engaging and emotionally supportive math classrooms. The training model integrates modular theoretical content, real-life teaching videos, and interactive digital tools to enhance instructional confidence and promote student-centered learning. By addressing both emotional and pedagogical aspects of teaching, the approach supports reduced anxiety, improved student motivation, and stronger engagement with STEM subjects.

Oriģinālvaloda	Angļu
Lapas (no-līdz)	305-309
Žurnāls	International Advanced Research Journal in Science, Engineering and Technology
Sējums	12
Izdevuma numurs	7
DOIs	https://doi.org/10.17148/IARJSET.2025.12738
Publikācijas statuss	Publicēts - 2025

OECD Zinātnes nozare

5.3 Izglītības zinātnes

Piekļuve Dokumentiem

10.17148/IARJSET.2025.12738

Citi faili un saites

https://iarjset.com/wp-content/uploads/2025/07/IARJSET.2025.12738.pdf

Citēt šo

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Empowering Teachers with Robotics Video Tools for Reducing Math Anxiety. / Kazukauskiene, Kornelija ; Rutkauskiene, Danguole ; Helmane, Ineta u.c.
(gadā): International Advanced Research Journal in Science, Engineering and Technology, Sēj. 12, Nr. 7, 2025, lpp. 305-309.

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

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AU - Karashtranova, Elena

AU - Arslan, Hasan

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