The purpose of the study was to identify the - interventions that can be adopted for teaching chemistry disciplines to the graduates majoring in Pharmacy (Mpharm) in Ukraine. The study employed a systematic review methodology and a qualitative approach to synthesising the sources. The triangular assessment method was used to rate the short-listed instructional interventions for feasibility, transferability, and duplicability in the settings of teaching chemistry disciplines to pharmacy graduates in Ukraine. The review found seven eligible publications for the analysis. It was identified that the shortlisted instructional models were technology-mediated and positively affected students’ skills and occupational knowledge. Three out of seven instructional models used chatbots and AI to automate the process of management of students learning activity which suggested that automation of the process of educational content delivery was becoming an emerging trend in instructional design. Having performed the triangular assessment method (TAM) analysis, three instructional models were given preference in terms of their use in medical education settings in Ukraine. These models were as follows: a) PhET simulations-based model, b) the model based on automated delivery of the course using the Smart Sender platform and c) the model based on automation of the Moodle-driven e-course using Dialogflow chatbot.

The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students’ motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a non-equivalent control group design of a pre-test-post-test type. The study found that the use of chatbot-driven e-classes on the Smart Sender platform increased student motivation, improved their English language proficiency in reading and language usage, and enhanced their engagement within L2 e-classes. Students expressed their appreciation for the ease of use and usefulness of this chatbot-based tool for improving their English language skills. The findings showed that the scores for motivation, engagement, and English language proficiency increased for both the experimental and control groups from pre-test to post-test, with a large effect size observed for the experimental group and a medium effect size observed for the control group. The statistically significant difference in the mean scores between the experimental and control groups indicates the positive impact of incorporating gamified chatbot-driven sessions within L2 e-classes on the Smart Sender platform.