Debourgh Gregory A
School of Nursing, University of San Francisco, 2130 Fulton Street, San Francisco, CA 94117-1080, USA.
J Prof Nurs. 2003 May-Jun;19(3):149-63. doi: 10.1016/s8755-7223(03)00072-3.
This article describes a study designed to investigate graduate nursing students' satisfaction with a course taught via interactive video teleconferencing (IVT) and the World Wide Web/Internet (WWW/INT). A correlational research design examined the relationships among 5 learner attributes and 3 instructional variables and student satisfaction. Regression analyses identified learner attributes and instructional variables predictive of student satisfaction. Forty-three graduate nurse students were surveyed using a 59-item Student Satisfaction Survey (SSS). Learner attribute predictors included: (1) previous technology courses, (2) technology competence, (3) between-class technology usage, (4) age, and (5) remote-site group size. Instructional predictors were clustered into 3 dimensions: instructor/instruction, technology, and course management. Student satisfaction was a composite of overall satisfaction with the course and comparison with conventional classroom courses. Instructor/instruction explained 21 percent of the variance in course satisfaction scores. Overall instructor rating strongly correlated with satisfaction. The most potent finding was that good pedagogy is important to students' perceived satisfaction with distance education. Students acclimate to the instructional reality-traditional, campus-based face-to-face instruction, or technology-mediated distance education-and once accustomed, it is the quality and effectiveness of instructor and instruction, not the technology, that is associated with satisfaction. The findings of this study provide essential information to faculty responsible for the design and delivery of effective instruction and to students pursuing flexible and convenient options for advanced education.
本文描述了一项旨在调查护理学研究生对通过交互式视频电话会议(IVT)和万维网/互联网(WWW/INT)授课的课程满意度的研究。一项相关性研究设计考察了5个学习者属性、3个教学变量与学生满意度之间的关系。回归分析确定了可预测学生满意度的学习者属性和教学变量。使用一份包含59个条目的学生满意度调查问卷(SSS)对43名护理学研究生进行了调查。学习者属性预测因素包括:(1)之前的技术课程,(2)技术能力,(3)课间技术使用情况,(4)年龄,以及(5)远程站点小组规模。教学预测因素被归为3个维度:教师/教学、技术和课程管理。学生满意度是对课程总体满意度以及与传统课堂课程比较的综合体现。教师/教学解释了课程满意度得分中21%的方差。教师总体评分与满意度密切相关。最有力的发现是,良好的教学方法对学生对远程教育的感知满意度很重要。学生适应教学现实——传统的、基于校园的面对面教学,或技术介导的远程教育——一旦习惯,与满意度相关的是教师和教学的质量与效果,而非技术。本研究结果为负责设计和提供有效教学的教师以及寻求灵活便捷的高等教育选择的学生提供了重要信息。