Data Science & Education2025

Impact of Daily Habits on Student Academic Performance

A comprehensive study analyzing how study hours, sleep patterns, and social media usage affect student performance using...

Research Presentation

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Research Paper

Research Study Paper

Pages:9 pages
File Size:942 KB
Language:English
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Abstract

In this project, we consider how daily habits of students, including the number of hours spent studying, number of sleeping hours, and number of social media hours, affect their performance at school. We used data from Kaggle covering these habits along with other facts like their gender, the quality of the internet, whether they have a job, and whether they participate in extracurricular activities. We followed a precise process to clean and sanitize the data to make it accurate and reliable. We developed an interactive Power BI dashboard to present important trends and associations, such as average study time, sleep duration, and examination scores. The students were classified in terms of their performance to study how different habits influence their results. The dashboard enables one to see how various behaviors are linked to learning success in various types of students. The research shows the importance of the balance between day-to-day activities and presents a good resource for students, instructors, and school administrators to find habits that support learning. Finally, the research seeks to assist in making more informed decisions using information that can pave way for healthier study habits and improved school outcomes.

Keywords

Academic habits, student performance, data analytics, sleep, study hours, Power BI, education dashboard

Research Team

Meet the contributors who made this research possible

GA

Abbas Ataie

Department of Data Science

University of Europe for Applied Sciences

AS

Arnav Singh Bhardwaj

Department of Data Science

University of Europe for Applied Sciences

SS

Shilpa Sidda Raju

Department of Data Science

University of Europe for Applied Sciences

MP

Manasi Prabhakar

Department of Data Science

University of Europe for Applied Sciences

University of Europe for Applied Sciences
Potsdam, Germany
2025

Research Methodology

  • Data collection from Kaggle dataset
  • Data cleaning and preprocessing
  • Statistical analysis and visualization
  • Interactive dashboard development
  • Performance correlation analysis

Key Findings

  • Study hours have a direct correlation with academic performance
  • Sleep quality significantly impacts learning outcomes
  • Social media usage shows inverse relationship with grades
  • Balanced daily routines lead to better academic results
  • Interactive dashboards help identify optimal study patterns

Research Impact

This research provides valuable insights for educational institutions, helping them develop better strategies for student support and academic improvement.

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itsabbas.ataie@gmail.com
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