Research Reveals Impact of Cloud Technology and MatLab App on Academic Performance in Further Mathematics

The globalization of educational processes has led to the introduction of interactive learning forms, resulting in the transformation, modernization, and innovation of education systems worldwide. Researchers from Qiongtai Normal University in People's Republic of China conducted a study to determine the impact of cloud and MatLab app technology on the academic performance and cognitive load of further mathematics students. The study involved 100 students, with a Pearson correlation coefficient of 0.88, 0.85, and 0.76, Shapiro-Wilk test of 0.94, and t-test used for statistical processing.

Key Takeaways:

  • The study found a significant difference in academic performance between the experimental and control groups, indicating the effectiveness of the experiment.
  • The experimental group performed significantly better than the control group, with a 0.88 Pearson correlation coefficient.
  • No significant differences were found in cognitive load between the two groups.
  • The study concluded that cloud technology and MATLAB software can be used to explain complex mathematical problems to students, reducing the complexity of tasks.
  • The study was limited by the short study time, sample size, different learning styles, and individual characteristics of students.
  • The research has the potential to help university teachers develop and implement effective teaching methods that contribute to academic progress in further mathematics.

Statistics:

  • 100 students participated in the study.
  • The Pearson correlation coefficient was 0.88, 0.85, and 0.76.
  • The Shapiro-Wilk test result was 0.94.
  • The study involved a short study time, which was a limiting factor.
  • No significant differences were found in cognitive load between the two groups.

Sources:

  • The Impact of Cloud Technology and the Matlab App On the Academic Performance and Cognitive Load of Further Mathematics Students. Education and Information Technologies, 2024; 29(11):13577-13593.
  • Springer can be contacted at: One New York Plaza, Suite 4600, New York, Ny, United States. (www.springer.com)
  • Tingting Feng, Qiongtai Normal University, College of Science, Haikou, Hainan, People's Republic of China can be contacted for additional information.