- Скрипник, М.І. (orcid.org/0000-0003-4760-6723) (2026) Algorithmic Architecture and Neurocognitive Design of a Chatbot for Civic Identity Development among Youth in De-occupied Territories In: STEAM-освіта: від теорії до практики : матеріали ІІ Міжнародної науково-практичної онлайн-конференції, 20–26 травня 2026 року, м. Київ, Україна.
|
Text
Скрипник_конференція_STEM.pdf Download (379kB) |
Abstract
The social integration of youth in the context of de-occupation necessitates the application of innovative digital technologies to foster civic agency, aligning with contemporary trends in the digitalization of STEAM education. Digital interventions hold significant potential for overcoming barriers to civic self-determination. Given that the evidence base for the efficacy of neurocognitive chatbot design in this field is still emerging, this article presents a theoretical and methodological substantiation and the structural design of the "SPIV-DIIA" (CO-ACTION) chatbot as a core component of a developing digital intervention system. The development is based on an interdisciplinary synthesis of discursive psychology, Human-Centered Design (HCD), and the author's original model for the cognitive modeling of digital interaction. The study aims to construct an algorithmic model capable of facilitating reflective discursive practices and self-identification processes among youth during post-conflict recovery. The design process follows an iterative, user-oriented design model. The methodology involves a synthesis of a deductive vector (algorithmization of the author's approach parameters) and an inductive vector (analysis of life narratives of youth from de-occupied territories). A holistic neurocognitive design architecture has been established, integrating three key strategies: the circuit of transferred agency (translation of the author's professional stance), the modality of the communicative simulacrum (designing the chatbot as an empathic intellectual partner), and the vector of facilitative intention (Socratic dialogue mechanics). The proposed model transforms the AI agent into a facilitator of civic discourse, where systematic interaction with personalized youth narratives ensures high tool acceptability and stimulates the development of agency among youth in de-occupied territories. The completion of the design phase allows for the next research step: empirical testing of the design to confirm the effectiveness of neurocognitive impact within a digital educational environment.
Downloads
Downloads per month over past year
Actions (login required)
![]() |
View Item |


