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Increasing investments and efforts were devoted to Chinese educational policy research in past decades, yet the adoption of research reports remains limited. The education policymakers, who take superior roles as knowledge users, are decisive in mobilizing the research results to policy-making. This study, based on knowledge mobilization framework, had clarified the role of Chinese education policymakers as knowledge user and privilege side in research adoption. Their motivations for research adoption are analyzed: Political motivations and knowledge motivations are initiative and core motivations, while environment influences and knowledge mobilization (KMb) efforts are decisive catalysts and facilitators. In Chinese education system, the environment for decision making and relationship between researchers and policymakers are quite diverse, while knowledge mobilization (KMb) efforts are still limited. Suggestions were provided for building healthy networks and effective mobilization.

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：Fundraising through college foundations has become an important and inevitable trend for universities and colleges around the world. Recently, there is rapid expansion of college foundations in China, and more than 90% are non-public foundations,which can only collect funding through non-public channels.But due to intensely competitive yet limited charity market in China, it is hard for college foundations that mostly inexperienced to absorb sufficient social donation to meet demands from themselves and colleges. How to attract social donation in the long run could be a crucial and hard task for these college foundations. Previous studies had shown that financial related information are among the most influential factors on donation. We posit here that financial factors would have important influence on donation of Chinese non-public college foundations. We test our regression model through analyzing data from 365Chinese non-public college foundations according to their financial disclosure at the end of 2015. Statistics are analyzed and proved: The donation income of Chinese non-public offering college foundation is positively associated with its Foundation Transparency Index (FTI), public expenditure, revenue and expenditure ratio, and negatively influenced by its age and investment income. Based on these findings, there is evidence to suggest that regression analysis can assist Chinese college foundations to understand the factors that predict philanthropic giving, and engage in more fruitful, meaningful, and strategic fundraising.