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Bangladesh Online Education Survey Metrics

Education & Learning Analytics

Tags and Keywords

Education

Bangladesh

Online

Survey

Students

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Bangladesh Online Education Survey Metrics Dataset on Opendatabay data marketplace

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About

A collection of authentic online survey data concerning Bangladeshi students' experiences with digital learning. The data provides crucial insights into the adaptation to online education, covering aspects such as students' access to the internet, preferred devices for study, self-reported changes in study hours, and issues encountered during virtual classes. This resource is valuable for understanding the technological and educational landscape facing students in Bangladesh.

Columns

The dataset contains 18 distinct columns related to online education among Bangladeshi students, including:
  • Level of study?: The highest level of education achieved by the respondent.
  • Age?: The specific age of the individual participating in the survey.
  • Used smartphone/computer/laptop previously before online class?: A binary indicator of prior device usage.
  • Result increased after online education (comparatively)?: Measures perceived improvement in academic results since the shift to online classes.
  • Knowledge increased after online education (comparatively)?: Measures whether students feel their knowledge has expanded due to online education.
  • Happy with online education?: Student satisfaction with the online learning format.
  • Education Institute Area?: The geographical area (Urban/Rural) where the educational institute is situated.
  • Have Internet availability?: A binary indicator of whether internet access is available to the student.
  • Broadband / Mobile Internet?: Specifies the type of internet connection used.
  • Total hours of study before online education?: Quantifies study time prior to the implementation of online learning.
  • Total hours of study after online education?: Quantifies study time after the implementation of online learning.
  • Class performance increased in online education?: Measures perceived improvement in class performance.
  • Institute Type: Categorisation of the institute (Public or Private).
  • Current location (During Study) ?: The respondent's location while studying (Urban or Rural).
  • Gender: The gender of the survey participant.
  • Faced any issue with online class?: Identifies whether the student experienced difficulties during online classes.
  • Preferred device for an online course: The device most favoured for virtual study (Computer or Mobile).

Distribution

This data product is presented in a tabular format. It includes 18 columns and covers 8,784 rows of student responses. Key findings show that approximately 64% of respondents were at Hons or Greater level of study. Regarding technology, 85% reported having used a smartphone, computer, or laptop prior to online classes, and 70% currently have internet availability.

Usage

This dataset is ideal for:
  • Impact Assessment: Analysing the correlation between online education and changes in student performance, knowledge acquisition, and total study hours. The data shows that the mean total hours of study decreased from 4.5 hours before online education to 2.98 hours afterwards.
  • Infrastructure Planning: Evaluating the distribution of internet types (Mobile Internet vs Broadband, which are split evenly at 50% each) and device preferences (64% prefer a Computer for online courses).
  • Satisfaction Studies: Investigating factors contributing to student happiness; only 36% of students reported being happy with online education.
  • Challenge Identification: Determining the prevalence of issues faced during online classes, with 57% of respondents indicating they encountered a problem.

Coverage

The data focuses exclusively on Bangladeshi Students. The demographic scope is broad, capturing individuals primarily aged between 16 and 26, with a mean age of 22.8. The respondent pool is split almost evenly by gender (51% Male, 41% Female). Educational institutes are predominantly Urban (74%), though student current locations are more balanced (49% Urban, 43% Rural).

License

CC0: Public Domain

Who Can Use It

  • Academic Researchers: For studies on global educational technology adoption and outcomes in South Asia.
  • Government and NGOs: For policy formulation related to digital equity, internet access deployment, and educational reforms.
  • Educational Institutions: To benchmark student experiences, device requirements, and satisfaction levels. For example, understanding why only 47% saw an increase in class performance while 66% reported improved overall results.

Dataset Name Suggestions

  • Bangladeshi Student Online Education Experience
  • Impact of Digital Learning on Bangladeshi Students
  • Bangladesh Online Education Survey Metrics

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

05/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format