In recent years, education issues have been the focus of attention from all walks of life. An important indicator for measuring the level of education in colleges and universities is the quality of teaching. It determines the level of the students' basic quality that is the target of training. Curriculum is the core of forming teaching quality and the core element of cultivating talents. Curriculum evaluation is an important means to detect and diagnose the teaching quality of schools and the source of talent training quality.The purpose of this article is to study the quality evaluation system of college courses under the background of wireless communication and big data, taking students as the initiators of evaluation activities, positioning the factors that they are interested in, and referring to the selection of evaluation indicators in other research results to determine the evaluation system of this study. Through students’ evaluation of Japanese MOOC courses, the evaluation system constructed by the laboratory is evaluated. The method of collecting evaluation data is to issue electronic questionnaires and then perform statistical analysis on the results of the questionnaires after collection, to understand the current status of MOOC course learning and the degree of recognition between learners and evaluation indicators. Through the analysis of the questionnaire data, the reliability and validity of the questionnaire are tested to ensure the validity and reliability of the questionnaire data. The evaluation indicators are screened by factor analysis, and the entropy method is used to determine the weight of the evaluation indicators, thus forming the final MOOC course evaluation. Reorganizing and constructing the Japanese curriculum quality evaluation index system conforms to the general law of the construction of the index system.