ICTEduBangladesh

Published: 1 July 2026| Version 1 | DOI: 10.17632/8j9mb88c6k.1
Contributor:
Mohammed Borhan Uddin

Description

The data were collected through a structured online questionnaire distributed to university-level students across multiple institutions in Bangladesh between June and August 2025. The survey was hosted on Google Forms and shared via institutional email lists and student community groups. Participation was entirely voluntary and anonymous. Informed consent was obtained through an introductory statement on the survey form explaining the study's purpose, voluntary nature, and data handling practices. A total of 1000 valid responses were received. The questionnaire comprised items covering: (i) institutional characteristics: university type, school and college type, geographic location; (ii) academic profile : SSC and HSC ICT grades, current field of study (IT vs. non-IT); (iii) resource access : personal computer ownership, computer laboratory usage at school and college levels; (iv) curriculum opinions : five-point Likert-scale assessments of SSC and HSC ICT textbooks; (v) modern technology knowledge self-assessment across AI, machine learning, data science, cybersecurity, and blockchain (Low / Moderate / High); and (vi) overall curriculum rating on a 1–10 integer scale After preprocessing, sixteen key attributes related to ICT education effectiveness were selected for analysis. These attributes included university type, educational background (IT or non-IT), HSC passing year, HSC college type, college location, SSC passing year, SSC school type, computer ownership, SSC ICT grade, HSC ICT grade, school laboratory access, college laboratory access, school ICT book opinion, college ICT book opinion, modern technology knowledge level and overall curriculum rating

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Data Mining, Educational Assessment

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