This article explores the possibilities of automating the methodological portfolio of computer science teachers using artificial intelligence (AI) technologies. Currently, a teacher’s portfolio is an important tool for systematically presenting professional activities, documenting pedagogical achievements, confirming qualification levels, and successfully passing certification. However, maintaining a portfolio using traditional methods requires significant time and effort, and can lead to disorganized accumulation of documents, lack of structured information, and even loss of important materials. The study identifies the structure of a methodological portfolio and proposes effective ways to automate its main sections. The use of AI tools makes it possible to automatically generate lesson plans, reflective texts, and teaching materials, analyze students’ academic performance, predict learning outcomes, and process and organize various certificates and documents. In addition, approaches to organizing a digital portfolio using cloud technologies for storage, updating, and sharing are described. In the practical part, a simple model for automatically generating a portfolio based on Google services, AI APIs, and the Python programming language is proposed. This model optimizes the processes of data collection, processing, and structuring. The results of the study demonstrate that the use of AI helps save teachers’ time, improve the quality of documentation, effectively organize information, enhance professional development planning, and increase the overall efficiency of the educational process.

KULMAGAMBETOVA ZH.K.

Candidate of technical sciences, associate professor, K. Zhubanov Aktobe regional university, Aktobe, Kazakhstan

E-mail: kulma_zh@mail.ru, https://orcid.org/0000-0003-3830-9217

BAZARBAYEV N.N.

1st year master’s student of the educational program 7M01503 – Informatics, K. Zhubanov Aktobe regional university, Aktobe, Kazakhstan

E-mail: nurbolat.04.ru@gmail.com, https://orcid.org/0009-0001-9592-7313

1. Полат Е.С., Бухаркина М.Ю., Моисеева М.В. Современные педагогические и информационные технологии в системе образования. – Москва: Академия. 2020. 368 с.
2. Zawacki-Richter O., Marín V.I., Bond M., & Gouverneur F. Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 2019. 1–27. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
3. Barrett H. Researching electronic portfolios and learner engagement. Journal of Adolescent & Adult Literacy, 50(6), 2007. 436–449. DOI: https://doi.org/10.1598/JAAL.50.6.2
4. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign. 2019.
5. Роберт И.В., Панюкова С.В., Кузнецов А.А., Кравцова А.Ю. Информационные и коммуникационные технологии в образовании. – Москва: Дрофа. 2008. – 312 с
6. Mahara ePortfolio Project. Mahara user guide for educators. 2021. Retrieved from https://mahara.org/
7. Google Workspace for Education. Automating teaching documentation with Google APIs. 2023. Retrieved from https://edu.google.com/