IMPROVING TEACHING OF MATHEMATICS THROUGH DATA MINING AND LEARNING ANALYTICS

The goal of our research was set on how to use learning analytics for possible improvement of university learning outcomes of mathematics. In the described research, we use a combination of action research approaches and learning analytics. We have solved problems that arise from our pedagogical practice as is usual in action research but using quantitative methods that are used in learning analytics. The research has had two main objectives. The first was to find out whether the entry test could be used as an indicator of success in the Mathematics I course. The second primary objective was to find out whether it is possible to influence the predicted student results by appropriate a during-term intervention. To verify the stated hypotheses, we used a statistical approach and methods using the SPSS software. The AIS academic information system was used as a data source for research. The results of the research showed that our entry test could be used as an indicator of the student's future result in Mathematics I course (Course Success Indicator was statistically significant at the significant level 0.1 (p=0.066)). On the other hand, the results of the research did not confirm the significant impact of the intervention in the form of additional seminars (p=0.800) on the success of the students in the overall assessment of the course. Although we had expected that the final course grade in comparison to outcome of the prediction could be affected by appropriate intervention, gained result is valuable to us as well. We have received information on the need to change the intervention so that we can increase the success of students in the mathematics courses and consequently also increase the success of study programs at the Technical University.