The aim of this study is to perform a content analysis of the articles published in TED Education and Science Journal and in this way to define the trends of the articles published in the journal. In the study, a total of 492 articles selected by purposive sampling method were analyzed. For the selection of articles, it was considered that the articles were of the articles published in issues between 2007 and 2013 when the issue of the journal was scanned by SSCI. '' Publishing Classification Form '' was used for the analysis of the articles determined within this scope. By making content analysis, articles were analyzed to include the aspects such as defining information about the identity of the article, its field, its subject, method, data collection tools, sampling, data analysis methods, and discussions and recommendations. The obtained data was interpreted in a manner based on the percentage and frequency and they were also represented with tables and graphics. Based on the obtained data it was found out that more publications are made by scientists working in larger and great universities like Hacettepe, Ankara and Gazi University. Furthermore, it was identified that most of the publications are on fields such as educational programs and teaching, educational administration, mathematics and science education. In the study where publications based on quantitative and descriptive survey researches were identified as the most common publication type, it was found that attitude, perception, and personality tests were used as data collection tool. It was seen that the studies concentrated in the sampling range of 301-1000 persons at the undergraduate level. For the analysis of data it was found that descriptive analysis were made more commonly and Anova and T-test analysis were also used in the studies intensively. Publication trend of TED Education and Science Journal, and its framework to contribute scientific studies will be developed by following history, profile and trends of the publication based on the present analysis.