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To explore the factors influencing online learning, the author sampled the students taking an online information technology course in a Hong Kong higher education institution and adopted a sequential explanatory design of mixed methods, in which a quantitative phase was followed by a qualitative phase. In the first quantitative phase, correlation and multiple regression analyses were used to examine the relationship between the potential factors and the students learning performance. As a followup to have a better understanding of the quantitative findings, some of the students were interviewed in the second qualitative phase. The results of both phases reveal how the factors influence the students online learning. These results provide good suggestions for online education improvements, and should be especially useful to educationists or any professionals who are concerned with the online education quality.
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