Faculty Members’ Perception and Satisfaction Towards Using the Blackboard Learning Management System in Nursing Courses at Cairo University

Document Type : Original Article

Authors

Lecturer of Community Health Nursing, Faculty of Nursing, Cairo University, Cairo, Egypt

Abstract

Background: The perceptions of faculty members about technology integration are crucial to the effective implementation of the Blackboard virtual environment in the teaching and learning process. The aim of the study was to assess the perception and satisfaction of faculty members at Cairo University towards using the Blackboard Learning Management System in Nursing Courses. Design: A descriptive research design was utilized to fulfil the aim of this study. Setting: The study was conducted at the faculty of Nursing, Cairo University, Egypt. Sample: A purposive sample of 37 faculty members who teach nursing courses on the Blackboard platform were included in the study. Tools: Two tools were used to collect the data; the first is a structured questionnaire that includes the faculty members' demographic information, and the second is an electronic questionnaire that describes faculty perception in four sections: usefulness, enjoyment, satisfaction, and challenges. Conclusion: The study concluded that, faculty members had a positive attitude towards using the Blackboard Learning Management System. According to the most important factor in using the Blackboard in the teaching system for nursing courses at Cairo University, it was enjoyment 85.7%, followed by faculty benefit with 84.4%, and then satisfaction with Blackboard with 74.1%. Finally, faculty challenges to applying Blackboard were ranked as the least significant factor, with 72.9% able to apply Blackboard. Recommendations: The study recommended continuing to support a culture of online learning among faculty members by publishing an electronic guide or videos on the university's website on how to use Blackboard. The authors of this study also recommended that it be repeated with a large sample size and in a variety of situations to generalize the results.

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