Dataset on Social Media Usage, Academic Performance, and Productivity Behaviors among Students

Published: 19 March 2025| Version 1 | DOI: 10.17632/zv45t3hx2r.1
Contributors:
Jalal Ahmmed, Faruk Ahmed

Description

This dataset captures behavioral dimensions related to social media usage and its impact on students' productivity, specifically from educational institutions in Dhaka, Bangladesh. It includes variables such as time spent on social media, frequency of use during study sessions, its effect on focus, procrastination habits, and perceived academic performance. The data was collected from a survey with 1,501 respondents across various educational institutions in Dhaka. This dataset provides valuable insights into how social media usage influences students' academic performance, time management, and overall productivity in a region-specific context, contributing to a deeper understanding of the role of digital engagement in educational outcomes.

Files

Steps to reproduce

The dataset was collected through an online survey from 1,501 students across educational institutions in Dhaka, Bangladesh, focusing on social media usage and its impact on productivity. The data was cleaned, structured in CSV format, and is now available on Mendeley for analysis using AI or machine learning techniques.

Institutions

  • Daffodil International University

Categories

Computer Science, Artificial Intelligence, Social Media, Machine Learning, Behavioral Assessment, Productivity, Explainable Artificial Intelligence

Licence