Given the rapid growth in online coursework within higher education, it is important to establish and validate quality standards for these courses. While many online learning quality rubrics do exist, thus far there has been little empirical evidence establishing a clear link between specific course design features and concrete, student-level course outcomes. In the current study, the authors develop an online course design assessment rubric that includes four areas, and explore the impact of each area on student end-ofsemester performance in 23 online courses at two community colleges. The results indicate that the quality of interpersonal interaction within a course relates positively and significantly to student grades. Additional analyses based on course observation and interview data suggest that frequent and effective student-instructor interaction creates an online environment that encourages students to commit themselves to the course and perform at a stronger academic level.
Although online learning is rapidly expanding in the community college setting, there is little evidence regarding its effectiveness among community college students. In the current study, the authors used a statewide administrative data set to estimate the effects oftaking one's first collegelevel math or English course online rather than face to face, in terms ofboth course retention and course performance. Several empirical strategies were used to minimize the effects ofstudent selfselection, including multilevel propensity score. The findings indicate a robust negative impact of online course taking for both subjects. Furthermore, by comparing the results of two matching methods, the authors conclude that within-school matching on the basis of a multilevel model addresses concerns regarding selection issues more effectively than does traditional propensity score matching across schools.
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