As the Web becomes as an important means to disseminate information, a growing number of education settings are developing Web-based learning (WBL). Unlike traditional computer-based instructional programs, WBL systems are used by a diverse population of learners, in terms of their background, skills, and needs (Chen & Macredie, 2004). Therefore, individual differences are becoming an important consideration. In the past decade, many studies have found that individual differences have significant effects on WBL. In particular, gender differences (e.g., Roy & Chi, 2003), prior knowledge (e.g., Calisir & Gurel, 2003), to cognitive styles (e.g., Chen & Macredie, 2004) are the most critical individual differences elements. In this vein, this article will present a comprehensive review on their influences on Web-based learning. The reader of this article is expected to get an overview of the state of the art research associated with these individual differences elements.