Research on Gaussian Mixture Computational Learning Mode Based on MOOC Online Education

Gaussian Mixture Model (GMM) has been widely applied in various disciplines such as model recognition, computer visualization, machine learning, digital elevation, and life sciences, and can effectively solve complex mathematical problems such as image processing, clustering, computation of probability density functions, and optimization of modeling. With the emergence of “Internet + Education,” blended learning has gained widespread attention globally and has achieved significant success in many academic institutions. Therefore, in today’s society, many scholars are exploring utilising the Gaussian Mixture Learning System in MOOCs to promote educational development and achieve favorable outcomes.