This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and among the students of the Information Systems track in a technology high school in Japan. The cognitive factor, Spatial Scanning, correlated significantly with the performance of both student groups in introductory computer science. Among the algorithms, Maze Tracing correlated with the university students' final grade and Binary Search with the midterm exam result of the high school students. The online tests also showed significant correlations among Searching, Sorting and Maze Tracing algorithms. The obtained correlations may be considered in creating assessment tools and in designing learning strategies for introductory computer science courses for both university and high school levels. (Contains 2 figures and 1 table.) [For the complete proceedings, "Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) (Madrid, Spain, Oct 19-21, 2012)," see ED542606.]