Dataset on Academic Performance of Computer Science Students at Selected Universities in Bangladesh

The dataset comprises a comprehensive survey of 894 Computer Science students from IUBAT University in Bangladesh, detailing various aspects of student performance. It includes demographic information such as University Admission Year, Gender, Age, and H.S.C Passing Year. Academic details cover the Program, Current Semester, Meritorious Scholarship, SGPA, Current CGPA, and Credits Completed. Study habits and learning preferences are assessed through Daily Study Hours, Number of Study Sessions per Day, Preferred Learning Mode, Average Class Attendance, and Attendance at Teacher Consultancy. Technology usage is evaluated by Smartphone Use, Possession of a Personal Computer, and Time Spent on Social Media. Language proficiency is indicated by the Status of English Language Proficiency. Behavioral and risk factors include incidents of Probation, Suspension, Health Issues, and Physical Disabilities. Finally, Skill Development and Interests are measured by Skills, Hours Spent Daily on Skill Development, Areas of Interest, and Participation in Co-curricular Activities, while Personal and Social Life is represented by Relationship Status and Living Arrangements, and Financial Information is captured by Monthly Family Income.

本数据集涵盖了针对孟加拉国IUBAT大学894名计算机科学专业学生的全面调研，详细呈现了学生学业表现的多维度信息。其中包含人口统计学信息，具体为大学入学年份、性别、年龄以及高等中学证书（Higher Secondary Certificate, H.S.C）考试通过年份；学术维度信息涵盖所学专业、当前就读学期、优秀奖学金获取情况、学期平均学分绩点（Semester Grade Point Average, SGPA）、当前累计平均学分绩点（Cumulative Grade Point Average, CGPA）以及已修学分总数；学习习惯与学习偏好通过每日学习时长、每日学习时段数量、偏好学习模式、平均课堂出勤率以及教师答疑咨询参与率进行评估；技术使用情况通过智能手机使用时长、是否拥有个人计算机以及社交媒体使用时长进行量化评估；语言能力通过英语语言能力状况（Status of English Language Proficiency）予以体现；行为与风险因素包括留校察看记录、停学处分、健康问题以及身体残疾情况；技能发展与兴趣爱好维度通过所掌握技能、每日技能发展时长、兴趣领域以及课外活动参与情况进行衡量；个人与社会生活维度通过恋爱关系状态与居住安排予以呈现；财务信息则通过家庭月收入进行采集。