Case Study Analysis as an Effective Teaching Strategy: Perceptions of Undergraduate Nursing Students From a Middle Eastern Country Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1177/23779608211059265
Background: Case study analysis is an active, problem-based, student-centered, teacher-facilitated teaching strategy preferred in undergraduate programs as they help the students in developing critical thinking skills. Objective: It determined the effectiveness of case study analysis as an effective teacher-facilitated strategy in an undergraduate nursing program. Methodology: A descriptive qualitative research design using focus group discussion method guided the study. The sample included undergraduate nursing students enrolled in the Maternal Health Nursing Course during the Academic Years 2017 and 2018. The researcher used a purposive sampling technique and a total of 22 students participated in the study, through five (5) focus groups, with each focus group comprising between four to six nursing students. Results: In total, nine subthemes emerged from the three themes. The themes were “Knowledge development”, “Critical thinking and Problem solving”, and “Communication and Collaboration”. Regarding “Knowledge development”, the students perceived case study analysis method as contributing toward deeper understanding of the course content thereby helping to reduce the gap between theory and practice especially during clinical placement. The “Enhanced critical thinking ability” on the other hand implies that case study analysis increased student's ability to think critically and aroused problem-solving interest in the learners. The “Communication and Collaboration” theme implies that case study analysis allowed students to share their views, opinions, and experiences with others and this enabled them to communicate better with others and to respect other's ideas which further enhanced their team building capacities. Conclusion: This method is effective for imparting professional knowledge and skills in undergraduate nursing education and it results in deeper level of learning and helps in the application of theoretical knowledge into clinical practice. It also broadened students’ perspectives, improved their cooperation capacity and their communication with each other. Finally, it enhanced student's judgment and critical thinking skills which is key for their success.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/23779608211059265
- https://journals.sagepub.com/doi/pdf/10.1177/23779608211059265
- OA Status
- gold
- Cited By
- 51
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3215260816
Raw OpenAlex JSON
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https://openalex.org/W3215260816Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/23779608211059265Digital Object Identifier
- Title
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Case Study Analysis as an Effective Teaching Strategy: Perceptions of Undergraduate Nursing Students From a Middle Eastern CountryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
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Vidya Seshan, Gerald Amandu Matua, Divya Raghavan, Judie Arulappan, Iman Al Hashmi, Erna Judith Roach, Sheeba Elizebath Sunderraj, Emi John PrinceList of authors in order
- Landing page
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https://doi.org/10.1177/23779608211059265Publisher landing page
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https://journals.sagepub.com/doi/pdf/10.1177/23779608211059265Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/23779608211059265Direct OA link when available
- Concepts
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Focus group, Nonprobability sampling, Critical thinking, Psychology, Perception, Theme (computing), Medical education, Qualitative research, Content analysis, Nursing, Pedagogy, Medicine, Sociology, Computer science, Population, Environmental health, Neuroscience, Operating system, Social science, AnthropologyTop concepts (fields/topics) attached by OpenAlex
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51Total citation count in OpenAlex
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2025: 14, 2024: 21, 2023: 11, 2022: 5Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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