Conductiion of an active lecture using the CBL method with the use of AI elements

Professor S.K. Ordabayeva delivered an open lecture on pharmaceutical chemistry using the CBL method and AI elements for fourth-year students of the Pharmacy program. In accordance with the scheduled lecture schedule, the lecture focused on fluoroquinolone derivatives, with mandatory sections covering the chemical structure, physicochemical properties, production methods, and quality control methods of medicinal products.

The lecturer used the ChatGPT, Google Gemini, and DeepSeek platforms as assistants to optimally select an active learning method, and also used the Gamma Presentation program when preparing the presentation.

Given the course's goals and objectives in ensuring the quality, efficacy, and safety of medicines, the lecturer chose a case study approach. To address the case study's situational problem, the lecturer focused on molecular docking in the development of fluoroquinolone antibacterial agents, which has led to the introduction of the most effective ones into medical practice.

Drug stability issues are an important aspect of quality assurance. Therefore, the lecturer discussed in detail the potential chemical degradation of drugs under the influence of environmental factors, the standardization of related and common process impurities, and other quality indicators in accordance with national and international regulatory requirements.
The lecturer's presentation enabled the students to successfully address the case's issues. The students were divided into subgroups and enthusiastically worked as members of an "expert committee," employees of a "testing laboratory," and a "regulatory authority".

The level of student comprehension and student opinions on the lecture were assessed using quizzes and a Google survey. Over 80% of respondents rated the lecture format positively, noting its inspiration for future professional development. The lecture's comprehension rate was approximately 90%.

According to the invited members of the Academic Committee, the lecturer's professional experience, teaching skills, and audience engagement enabled students to effectively master a specialized section of pharmaceutical chemistry on the analysis of fluoroquinolone derivatives. The information presented by the lecturer enabled students to gain a deeper understanding of new drug development and quality control methods that ensure their quality, efficacy, and safety. The case study's solution, using the CBL method, utilized a practice-oriented approach and allowed the students to gain insight into their future careers as pharmaceutical analysts.

It's worth noting that AI platforms recommend a variety of educational process options to teachers, presenting them in outline form. The teacher's task is to adapt the chosen topic to the most optimal option, delving not only into their own topic but also into the AI-suggested lesson formats and multiple choice learning. It's also crucial to master the material to avoid the errors or deviations often made by AI platforms and to rely on their own expertise.