Abstract: National Natural Science Foundation of China (NSFC) added a new application code F0701 for Educational Information Science and Technology in the year of 2018. This study carried out scientometrics analysis on the application and funding projects of F0701 in 2018 and find that the application project cover ten thematic clusters, namely, personalized teaching, educational big data, machine learning, augmented reality, educational robot, learning evaluation, interactive learning, digital resources, collaborative learning and resource allocation. Results show that the research of Educational Information Science and Technology is still in the period of technology migration, mainly focusing on infiltrating information technologies into the field of education, lacking deep conciseness on the key scientific issues and being deficient of deep cross fusion. Therefore, researchers should strengthen the application of natural science research paradigm, enhance the cross-integration of research teams, and improve the ability to condense scientific problems; and NSFC should further enrich and improve the code structure of F0701, guide the experts to evaluate the applications according to the project characteristics in this field, increase the funding rate and support, in order to promote the overall research level in the field of Educational Information Science and Technology of China.