Abstract
This paper describes how qualitative data analysis was used in analyzing the interviews in a doctoral study. One of the objectives of the study was to exp lore definit ions of the student's EBP (i.e. engagement, behavior, and personality) attributes. Student's EBP are considered as indicators for predicting student performance in a smart learn ing environment. The paper begins with a description of the study. The data of the study was analyzed by NVivo as one of the co mputer assisted software analysis package. The paper provides an overview o f the approach used in this analysis. It then addresses the methods and exp lains how NVivo was used to analyze the data of academic staff interviews. Positive findings of this paper presents the importance of using NVivo in such kind of analysis .
Cite
CITATION STYLE
Al-Kindi, I., & Al-Khanjari, Z. (2021). NVivo to Analyze the Definition of Student EBQ Qualitatively. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3768217
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