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Learner and instructional predictors of student satisfaction in a graduate nursing program taught via interactive video teleconferencing and World Wide Web/Internet.

机译:通过交互式视频电话会议和万维网/互联网教授的研究生护理课程中学生满意度的学习者和教学预测指标。

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摘要

The changing healthcare delivery system creates a demand for registered nurses with leadership, management, and expert critical thinking skills. To function in increasingly complex healthcare settings, nurses are returning to school for graduate education. Distance education features convenience and flexibility in scheduling, geographic proximity, and learner control. This study investigates graduate nursing students' satisfaction with a course taught via interactive video teleconferencing (IVT) and World Wide Web/Internet (WWW/INT).;A correlational research design examined the relationships among five learner attributes and three 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) modified from a tool designed by Biner. Learner attribute predictors included: (a) previous technology courses, (b) technology competence, (c) between-class technology usage, (d) age, and (e) remote-site group size. Instructional predictors were clustered in three 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% of the variance in course satisfaction scores (p ;This study provides essential information to faculty responsible for the design and delivery of effective instruction and to students pursuing flexible and convenient options for advanced education.
机译:不断变化的医疗保健提供系统对具有领导,管理和专家批判性思维技能的注册护士产生了需求。为了在日益复杂的医疗保健环境中发挥作用,护士正在重返校园接受研究生教育。远程教育在日程安排,地理邻近度和学习者控制方面具有便利性和灵活性。本研究调查了护理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)授课的课程的满意度。相关研究设计考察了五个学习者属性与三个教学变量与学生满意度之间的关系。回归分析确定了学习者的属性和可预测学生满意度的教学变量。使用由宾纳(Biner)设计的工具修改的59项学生满意度调查(SSS)对43名研究生和研究生进行了调查。学习者属性预测变量包括:(a)以前的技术课程,(b)技术能力,(c)类间技术使用,(d)年龄,以及(e)远程站点组的大小。教学预测指标集中在三个方面:教学人员/教学,技术和课程管理。学生满意度是对课程总体满意度和与常规课堂课程的比较的综合结果。;教师/讲师解释了课程满意度得分差异的21%(p;该研究为负责有效课程设计和交付的教师提供了重要信息指导,并为寻求灵活方便的进阶选择的学生。

著录项

  • 作者

    DeBourgh, Gregory A.;

  • 作者单位

    University of San Francisco.;

  • 授予单位 University of San Francisco.;
  • 学科 Health Sciences Nursing.;Education Adult and Continuing.;Education Technology of.;Health Sciences Education.
  • 学位 Ed.D.
  • 年度 1998
  • 页码 295 p.
  • 总页数 295
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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