A MODEL FOR DEVELOPING FUTURE TEACHERS' TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS

A MODEL FOR DEVELOPING FUTURE TEACHERS’ TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS Raisov Shamsiddin Rashid o‘g‘li Master’s Student of Testology and Educational Assessment, Termez State Pedagogical Institute, UzbekistanE-mail: [email protected] https://doi.org/10.5281/zenodo.20957341 Abstract: The rapid advancement of artificial intelligence and digital educational technologies has significantly transformed teaching and assessment practices in modern education. Future teachers are expected to possess not only pedagogical knowledge but also competencies related to educational assessment, test construction, and the effective use of digital tools. However, many teacher education programs provide insufficient opportunities for developing testological competence and assessment literacy. This study aims to propose a model for developing future teachers’ testological competence through the integration of artificial intelligence and digital assessment tools. The research is based on the use of digital platforms such as Quizizz, Kahoot, Wordwall, Google Forms, Canva AI, ChatGPT, Gemini, and Edpuzzle in educational practice. The proposed model supports test design, automated assessment, feedback generation, learning analytics, and reflective learning processes. The findings indicate that integrating artificial intelligence with digital assessment technologies contributes to improving future teachers’ professional readiness, assessment literacy, digital competence, and ability to organize effective learning environments. The study also emphasizes the necessity of incorporating testology and modern assessment technologies into teacher education curricula. Keywords: testological competence, future teachers, artificial intelligence, digital assessment, assessment literacy, educational technology, digital platforms, teacher education, learning analytics, innovative assessment.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-27
DOI
https://doi.org/10.5281/zenodo.20957341
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A MODEL FOR DEVELOPING FUTURE TEACHERS' TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS

Raisov Shamsiddin Rashid o'g'li
Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

A MODEL FOR DEVELOPING FUTURE TEACHERS' TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS

Raisov Shamsiddin Rashid o'g'li
article en

Abstract

A MODEL FOR DEVELOPING FUTURE TEACHERS’ TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS Raisov Shamsiddin Rashid o‘g‘li Master’s Student of Testology and Educational Assessment, Termez State Pedagogical Institute, UzbekistanE-mail: [email protected] https://doi.org/10.5281/zenodo.20957341 Abstract: The rapid advancement of artificial intelligence and digital educational technologies has significantly transformed teaching and assessment practices in modern education. Future teachers are expected to possess not only pedagogical knowledge but also competencies related to educational assessment, test construction, and the effective use of digital tools. However, many teacher education programs provide insufficient opportunities for developing testological competence and assessment literacy. This study aims to propose a model for developing future teachers’ testological competence through the integration of artificial intelligence and digital assessment tools. The research is based on the use of digital platforms such as Quizizz, Kahoot, Wordwall, Google Forms, Canva AI, ChatGPT, Gemini, and Edpuzzle in educational practice. The proposed model supports test design, automated assessment, feedback generation, learning analytics, and reflective learning processes. The findings indicate that integrating artificial intelligence with digital assessment technologies contributes to improving future teachers’ professional readiness, assessment literacy, digital competence, and ability to organize effective learning environments. The study also emphasizes the necessity of incorporating testology and modern assessment technologies into teacher education curricula. Keywords: testological competence, future teachers, artificial intelligence, digital assessment, assessment literacy, educational technology, digital platforms, teacher education, learning analytics, innovative assessment.

Zenodo (CERN European Organization for Nuclear Research)
Termez State University (UZ)
Quality Education
Openalex Percentile: Top 2%
Technology-Enhanced Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.