TRAINING IN THE COURSE "PHYSICO-CHEMICAL METHODS OF ANALYSIS" USING DIGITAL RESOURCES AND INTERDISCIPLINARY TASKS

Abstract

This study comprehensively examines the effectiveness of teaching the course "Physico-Chemical Methods of Analysis" in higher education using digital resources and interdisciplinary tasks. The research was conducted during the 2024–2025 academic year among 2nd-year chemistry students at Abai Kazakh National Pedagogical University (n = 38). The main objective of the study was to determine the impact of digital technologies and interdisciplinary integration on the development of students’ theoretical knowledge, practical skills, and functional literacy.

During the course, various digital tools were implemented, including PhET simulations, the ChemCollective virtual laboratory, educational platforms such as Coursera and Khan Academy, as well as data analysis software like Excel, Origin, and Python (Jupyter Notebook). These resources facilitated the visualization of complex concepts, virtual experimentation, and data interpretation. Additionally, specially designed interdisciplinary tasks were developed, integrating the content of chemistry with physics, biology, and informatics. As part of the practical activities, students performed spectroscopic analysis, potentiometric titration, and thin-layer chromatography.

The study results demonstrated an increase in students’ theoretical test scores from 53% to 82%, along with significant improvement in laboratory skills and analytical thinking. Reflective analysis and student surveys confirmed the formation of a positive attitude toward digital resources and interdisciplinary approaches, as well as enhanced motivation for learning the subject.