Abstract: The purposes of this study were to examine the relationships between factors of quality of life of University students and their learning motivation, to find out predictive variables of the students’ learning motivation, to analyze factors of the students’ quality of life as well as to regroup these variables and then to construct predictive equations of learning motivation of the students. The sample used in this study consisted of 1,300 Rajabhat Mahasarakham University students, obtained using the stratified random sampling technique. Data were collected using questionnaires on the quality of life with discriminating powers ranging 2.55-8.59 and reliabilities ranging 0.91-0.94 and a scale on learning motivation with discriminating powers ranging 2.56-7.02 and a reliability of 0.95. The collected data were analyzed using an exploratory factor analysis and stepwise multiple regression analysis. The results of the study were as follows: the variables, which could predict learning motivation of University students at the 0.01 level of significance included quality of life in terms of relationship with other people (D), quality of life in learning (A), quality of life in the services received from the university (E) and quality of life in terms of society with multiple correlation coefficient (R) of 0.708, an adjusted predictive coefficient (R²_adj) of 0.497 and a Standard Error (SE_est) of 0.318. For the results of factors analysis of the quality of life and regrouping the variables, seven factors were obtained and the factors were named in this order: social welfare (X₁), the learner development process (X₂), convenience and safety of the residence (X₃), promoting commitment with other people (X₄), the university’s utilities and materials to support learning (X₅), the university’s health welfare and guidance services (X₆) and creating learners’ human relationship (X₇). The variables after factor analysis, which could predict University students’ learning motivation at the 0.01 level of significance included: factors in terms of creating learner’s human relationship (X₇), social welfare (X₁), promoting commitment with other people (X₄), learner development process (X₂) and the university’s utilities and materials to support learning (X₅) with a multiple correlation coefficient of 0.707, an adjusted predictive coefficient (R²_adj) of 0.496, a predicting power at 49.6%, a standard error of 7.9723 and constance of the predictive equations in the raw-score form of 13.270. The predictive equations could be constructed in a raw score form an a standardized score form as: the predictive equation in the raw-score form Y’ = 13.270 + 0.680X₇ + 0.183X₁ + 0.375X₄ + 0.218X₂ + 0.259X₅, the predictive equation in a standardized score form Z_y’ = 0.311Zx₇ + 0.133Zx₁ + 0.164Zx₄ + 0.164Zx₂ + 0.131Zx₅.