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Grade Performance of Face-to-Face Versus Online Agricultural Economics Students

机译:面对面与在线农业经济学学生的成绩表现

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Online course offerings have been growing at a rapid pace in post-secondary education. An ordered probit model is estimated to analyze the effects of online vs. face-to-face course format in achieving specific letter grades. An upper-division agricultural economics course taught over 9 years using both formats is used for the analysis. For a sample of 81 students, variables of grade point average, number of credit hours taken, verbal SAT score, gender, course format, and major were used to predict final score in the course. Results indicate that online students performed better than face-to-face students at a marginal significance level. Online students were 2% less likely to earn a D in the course, and 15% less likely to earn a C in the course thantheir face-to-face counterparts. Online students were 8%t more likely to earn a B in the course and 9% more likely to earn an A in the course than face-to-face students.
机译:在专上教育中,在线课程的提供正在迅速增长。估计有序的概率模型可以分析在线课程与面对面课程格式对达到特定字母等级的影响。分析使用了9年以上的两种格式的高等农业经济学课程。对于81名学生的样本,使用平均成绩,学分,口语SAT分数,性别,课程格式和专业等变量来预测课程的最终分数。结果表明,在线学生在边际显着水平上的表现要好于面对面的学生。在线学生在课程中获得D的可能性比面对面的同行低2%,在课程中获得C的可能性低15%。与面对面的学生相比,在线学生在课程中获得B的可能性高8%t,在课程中获得A的可能性高9%。

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