Document Type : Original Article
Authors
1 Master of Knowledge and Information Science, University of Tabriz, Tabriz, Iran
2 Assistant Professor, Department of Knowledge and Information Science, Faculty of Education & Psychology, University of Tabriz, Tabriz, Iran
3 Associate Professor, Department of Educational Science, Faculty of Education & Psychology, University of Tabriz, Tabriz, Iran
Abstract
Purpose: The primary Purpose of this study is to explore the motivating factors behind students' utilization of the Iranian search engine "Parsijoo."
Methodology: Employing a qualitative approach, this research utilized the phenomenological method. Data collection was carried out through semi-structured interviews with a sample of 16 eighth-grade female students from public schools in Tabriz city, selected using purposeful snowball sampling until theoretical saturation was achieved. Data analysis was conducted using Glaser and Straus's coding method to ensure validity and reliability through frequent review and matching.
Findings: The study revealed that students are drawn to using the "Parsijoo" search engine due to its ability to retrieve various types of documents, excellent performance in service delivery, and alignment with national culture.
Conclusion: Students identified the extensive results provided by "Parsijoo," particularly in academic matters, as a key advantage. They also appreciated the engine's capability to efficiently retrieve all file types and present relevant outcomes. Furthermore, students highlighted the unique features and services offered by "Parsijoo" as contributing positively to their user experience.
Value: Promoting education and awareness is crucial in encouraging students to engage with native search engines. To foster lasting usage among this demographic, ongoing evaluations must be conducted on these platforms based on practical experiences, case studies, and user feedback. Conducting qualitative studies like the one presented here can offer valuable insights for enhancing the effectiveness and quality of native search engines.
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