Application of data-driven blended online-offline teaching in medicinal chemistry for pharmacy students: a randomized comparison

Abstract

Abstract Background The purpose of this study was to evaluate the effectiveness and efficiency of implementing a data-driven blended online-offline (DDBOO) teaching approach in the medicinal chemistry course. Methods A total of 118 third-year students majoring in pharmacy were enrolled from September 2021 to January 2022. The participants were randomly assigned to either the DDBOO teaching group or the traditional lecture-based learning (LBL) group for medicinal chemistry. Pre- and post-class quizzes were administered, along with an anonymous questionnaire distributed to both groups to assess students’ perceptions and experiences. Results There was no significant difference in the pre-class quiz scores between the DDBOO and LBL groups (T=-0.637, P = 0.822). However, after class, the mean quiz score of the DDBOO group was significantly higher than that of the LBL group (T = 3.742, P < 0.001). Furthermore, the scores for learning interest, learning motivation, self-learning skill, mastery of basic knowledge, teamwork skills, problem-solving ability, innovation ability, and satisfaction, as measured by the questionnaire, were significantly higher in the DDBOO group than in the traditional group (all P < 0.05). Conclusion The DDBOO teaching method effectively enhances students’ academic performance and satisfaction. Further research and promotion of this approach are warranted.

Keywords

• Data-driven
• Online-offline teaching
• Blended teaching
• Lecture-based learning
• PBL
• Medicinal chemistry