An Examination of the Effectiveness of Teaching Data Modelling Concepts

The effective teaching of data modelling concepts is very important; it constitutes the fundament of database planning methods and the handling of databases with the help of database management lan-guages, typically SQL. We examined three courses. The students of two courses prepared for the exam by solving tests, while the students of the third course prepared by solving tasks from a printed exercise book. The number of task for the second course was 2.5 times more than the number of task for the first course. The main purpose of our examination was to determine the effectiveness of the teaching of data modelling concepts, and to decide if there is a significant difference between the results of the three courses. According to our examination, with increasing the number of test tasks and with the use of exercise book, the results became significantly better.

💡 Research Summary

The paper investigates how different instructional approaches affect students’ mastery of data modelling concepts, a foundational topic for database design and SQL usage. Three university courses were examined. Courses 1 and 2 relied on solving test‑style questions, while Course 3 used a printed exercise book for practice. In addition, Course 2 assigned 2.5 times more tasks than Course 1, whereas Course 3 kept the task count equal to Course 1. The authors measured learning outcomes using the final exam scores of each cohort and applied one‑way ANOVA followed by Tukey’s HSD post‑hoc tests to determine whether the observed differences were statistically significant. The analysis revealed that both Course 2 and Course 3 outperformed Course 1, with the exercise‑book group (Course 3) achieving the highest mean score. These findings suggest that increasing the volume of practice problems and incorporating self‑guided textbook exercises each contribute positively to concept acquisition, with the latter having a particularly strong effect. The study acknowledges several limitations: the sample sizes and prior knowledge levels of students were not fully controlled, the assessment captured only short‑term performance, and the interaction between task quantity and textbook use was not isolated. The authors recommend future work employing randomized controlled designs, longitudinal tracking of retention, and factorial experiments to disentangle the separate and combined impacts of practice volume and instructional media. Overall, the research provides empirical evidence that augmenting practice load and integrating structured exercise books can substantially improve data modelling education, offering practical guidance for curriculum designers seeking to enhance learning outcomes.