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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
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Improving the quality of reporting findings using computer data analysis applications in educational research in
1School of Interdisciplinary Research and Postgraduate Studies, University of South Africa, South Africa.
Heliyon
|October 9, 2023
Summary
Educational researchers increasingly use computer applications for data analysis, particularly in quantitative and mixed-methods studies. However, full adoption of innovative techniques and their advanced features remains limited, with traditional methods still prevalent.
Area of Science:
- Educational Research
- Data Analysis Methodologies
- Research Methods
Background:
- Data analysis significantly impacts research quality and reporting standards.
- The adoption of computer applications in educational research was assessed using the diffusion of innovations theory.
- A review of 255 doctorate theses provided the dataset for the analysis.
Purpose of the Study:
- To assess the extent of computer application usage in educational data analysis.
- To identify trends in the adoption of innovative data analysis techniques.
- To bridge the gap between methodological scholarship and practical application of data analysis software.
Main Methods:
- Content analysis of 255 doctorate theses.
- Application of the diffusion of innovations theory as a conceptual framework.
- Categorization of research methodologies (quantitative, qualitative, mixed-methods).
Main Results:
- Computer applications are more prevalent in quantitative and mixed-methods research than qualitative research.
- Educational researchers have not fully embraced innovative computer data analysis techniques.
- Traditional technologies are still favored over advanced computer applications in many studies.
- Superficial mention of software without utilizing its full capabilities was observed.
Conclusions:
- There is a gap in the full adoption and utilization of computer applications for data analysis in educational research.
- Researchers tend to rely on traditional methods, indicating a slow uptake of innovative tools.
- Enhancing the use of computer software can significantly improve the quality of research reporting and graduate attributes.
- The article provides practical guidance to encourage wider and more effective use of data analysis software.
Keywords:
Computer applications for data analysisComputer packages for data analysisData analysis methodsDoctoral researchEducational researchMethodological transparencyMore Related Videos
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