Knowledge visualization of performance student based on attendance
The project titled "Knowledge Visualization of Student Performance Based on Attendance" represents a multifaceted exploration that merges research and development endeavors. In the contemporary educational landscape, student performance evaluation stands as a pivotal facet of pedagogica...
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Format: | Final Year Project / Dissertation / Thesis |
Published: |
2024
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Online Access: | http://eprints.utar.edu.my/6512/1/fyp_IB_2024_HJS.pdf http://eprints.utar.edu.my/6512/ |
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Summary: | The project titled "Knowledge Visualization of Student Performance Based on
Attendance" represents a multifaceted exploration that merges research and
development endeavors. In the contemporary educational landscape, student
performance evaluation stands as a pivotal facet of pedagogical improvement.
Recognizing the significance of attendance as a determinant of academic success, this
project embarks on a comprehensive investigation to analyze, visualize, and enhance
the understanding of the intricate relationship between attendance and student
performance. The research component of this project involves an in-depth analysis of
attendance data collected from diverse educational institutions, encompassing
different grade levels and disciplines. Through rigorous statistical analysis and data
mining techniques, we aim to uncover meaningful patterns, correlations, and insights
that illuminate the impact of attendance on student outcomes. Simultaneously,
leveraging the robust features of Power BI, the project translates these findings into
interactive, visually-rich dashboards and reports, facilitating a deeper understanding
of the attendance-performance relationship. This holistic approach aims to empower
educators, administrators, and students with the means to make informed decisions,
optimize attendance strategies, and ultimately enhance academic outcomes in the
ever-evolving educational ecosystem. Ultimately, the fusion of research and
development in this project aims to empower educational stakeholders with actionable
insights and practical solutions to enhance student success rates. The knowledge
visualization techniques employed will not only shed light on the nuances of
attendance's impact but also serve as a catalyst for data-driven decision-making and
continuous improvement in educational institutions. In an era characterized by datadriven
decision-making, this project represents a crucial step toward the enhancement
of educational practices by providing a holistic view of the interplay between
attendance and student performance. As we delve into this dynamic intersection of
research and development, we envision a future where educational outcomes are
optimized through a deeper understanding of the role attendance plays in shaping
student success. |
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