Abstract
Social Cognitive Theory proposes educational perspectives believed to facilitate the learning process. Social learning focuses on the interactive function of person, behavior, and environment. The mechanism for learning and attitude development is claimed to be influenced by modeling and reinforcement. Computer instruction is a technology that has the capability of incorporating both modeling and reinforcement. Interactive Video Instruction (IVI) is a branch of computer instruction comprised of video and computer components. A traditional mode for computer instruction is on an individual basis. An alternative mode of instruction through group presentation is sometimes employed in the educational arena, however, limited research supports its effectiveness, especially in nursing education. Thus, the following research question was posed: Are there differences in learning and attitude towards the instructional media when an IVI program is utilized by an individual nursing student, small group of nursing students, and a larger group of nursing students? A Pretest-Posttest Control-Group Design was employed. A non-probability, convenience sampling method was utilized and included students from baccalaureate nursing schools.
Sigma Membership
Theta Phi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Quantitative Research
Keywords:
Nurse Education, Computer Instruction in Groups, Instructional Formats
Advisor
Lois Allen
Degree
Doctoral-Other
Degree Grantor
Widener University
Degree Year
1992
Recommended Citation
Calderone, Antoinette B., "Investigation of the effect of IVI with three modes of instruction on learning and attitude towards the instructional media" (2019). Dissertations. 487.
https://www.sigmarepository.org/dissertations/487
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2019-06-11
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9300148; ProQuest document ID: 304015134. The author still retains copyright.