ORGANIZING INQUIRY-BASED LEARNING THROUGH ARTIFICIAL INTELLIGENCE: EFFECTIVE METHODS FOR DEVELOPING SCIENTIFIC RESEARCH PROJECTS
DOI:
https://doi.org/10.63034/esr-793Keywords:
artificial intelligence, inquiry-based learning, scientific research project, mitotic index, EcoShield, microalgae biosystem, prompt engineering, academic integrityAbstract
This article examines the author's methodology and practical results of organizing students' research activities using artificial intelligence (AI) technologies in the modern educational environment. The author proposes a six-stage algorithm for developing scientific research projects with AI support. The practical section analyzes six real scientific research projects prepared by school students from different regions of Kazakhstan (Almaty City, Abai, Aktobe, and Kyzylorda Regions) as case studies, demonstrating the empirical, mathematical, and analytical effectiveness of AI. A comparative analysis of the time required before and after the implementation of AI tools is presented, and the mentoring role of the teacher and the principles of academic integrity are clearly defined.
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