Affiliation:
1. National Testing Centre Ministry of Higher Education and Science RK (Astana, Kazakhstan)
Abstract
This article proposes an innovative idea for the development of a new information-analytical system in the field of external assessment of education quality (competencies) using Artificial Intelligence (AI) and Big Data (BD). This system represents an innovative approach to the external evaluation of education quality, covering various levels of assessment from individual learners to the national level. The system aims to use AI and BD technologies to enhance the objectivity, and reliability of assessments, and provide a broader coverage of students and educators. The system’s architecture includes various modules, each designed to address specific aspects of external evaluation, such as education quality, teacher competence, psychodiagnostics, and career guidance, with the innovation of this system lying in the comprehensive interaction of these modules. The implementation of this system is aimed at improving education management and building individual learning trajectories by tracking the dynamics and history of educational achievements. This will also ensure transparency in decision-making, reduce the level of corruption, and create equal educational opportunities for different regions and population groups
Publisher
Abai Kazakh National Pedagogical University
Reference20 articles.
1. Аналитический отчет (2022). Комплексный анализ результатов мониторинга образовательных достижений обучающихся организаций среднего образования. https://www.gov.kz/uploads/2023/3/1/a681b8560cfb03557da1ef77e14a20e6_original.6561302.pdf
2. Boverhof, B. J., Redekop, W. K., Bos, D., Starmans, M. P., Birch, J., Rockall, A., & Visser, J. J. (2024). Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice. Insights into Imaging, 15(1), 34. https://doi.org/10.1186/s13244-023-01599-z
3. Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://www.sciencedirect.com/science/article/pii/S0747563222002886
4. González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://www.mdpi.com/2076-3417/11/12/5467
5. GOV.KZ (2023). Министерство образования Республики Казахстан, 2023. Gov.kz. https://www.gov.kz/memleket/entities/edu?lang=en