AI-driven digital facilitator for personalized post-course support of educators

Zhanat Nurbekova (), Talgat Sembayev (), Meiramgul Zhetpisbayeva (), Meiramgul Zhetpisbayeva () and Kanagat Baigusheva ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 3, 1811-1823

Abstract: The current article aims to study the approaches and technologies for post-course support of teachers in the context of a new paradigm of continuous professional development. In a dynamically changing world, post-course support plays a significant role in ensuring sustainable professional development. This article proposes an innovative solution a digital personalized facilitator support for the post-course professional development period of teachers. The study employed a quantitative method with a sample size of 21,681 teachers to determine their educational needs, the use of AI, and the conditions for effective post-course support. About half of the respondents (40%) highlighted the importance of post-course support from coaches, colleagues, and administration, while more participants (75%) identified the need for AI tools for personalized professional development. The significance of the results is associated with the justification of an innovative solution to the problems of post-course support for teachers in the form of a patentable utility model of a digital facilitator. Its applicability as a facilitator in group sessions that monitor participants’ actions shows the prospects for its implementation in other areas of the teacher's activity.

Keywords: Artificial intelligence; digital facilitator; educational technologies; post-course support; professional development of teachers; teacher qualification advancement. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijirss.com/index.php/ijirss/article/view/6888/1384 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aac:ijirss:v:8:y:2025:i:3:p:1811-1823:id:6888

Access Statistics for this article

International Journal of Innovative Research and Scientific Studies is currently edited by Natalie Jean

More articles in International Journal of Innovative Research and Scientific Studies from Innovative Research Publishing
Bibliographic data for series maintained by Natalie Jean ().