Students_Academic_ Performance_Evaluation_Dataset

31 features and 1195 individuals make up the publicly accessible dataset in a data repository. The Excel file that is part of the "Students Performance data set" folder contains the dataset. The 1195 rows and 31 columns of the Excel file provide information about the academic and non-academic data of the students. A student's question and response, gathered via an online survey form, are displayed in each row of an Excel file. The intended audience consisted of computer science and engineering department students at a private institution in Bangladesh.37,045 main data points were gathered via this survey. There are two categories of features: integer and nominal. Gender, merit scholarship, using university transportation, learning mode, English Skills, probation, suspension, faculty consultancy, relationship status, participation in extracurricular activities, living status political engagement, health issue, physical disability, SGPA, and CGPA are the nominal features. The HSC passing year, university admission year, study hours per day, frequency of study hours per day, social media time, and class attendance are the integer features. Based on the present CGPA, SGPA, class attendance, daily study hours, frequency of study, social media time, and English proficiency, the targeted column, "student status," has been chosen.本公开可获取的数据集存储于数据仓储中，共包含31个特征（feature）与1195个样本个体。该数据集收纳于「学生学业表现数据集」文件夹内的Excel文件中。该Excel文件共1195行、31列，记录了学生的学业与非学业相关信息。该Excel文件的每一行均对应一名学生通过在线问卷采集得到的问卷问题与应答数据。本次调研的目标受众为孟加拉国某私立院校计算机科学与工程系的学生。本次调研共采集得到37045个主数据点。该数据集的特征共分为两类：标称特征（nominal features）与整型特征（integer features）。标称特征包括性别（Gender）、优秀奖学金、是否使用校际交通、学习模式、英语能力（English Skills）、留校察看状态、停学状态、院系咨询服务参与情况、恋爱状态、课外活动参与情况、居住状况、政治参与情况、健康问题、身体残疾情况、学期平均学分绩点（SGPA）以及累计平均学分绩点（CGPA）。整型特征则包括高中结业年份（HSC passing year）、大学入学年份、每日学习时长、每日学习频率、社交媒体使用时长以及课堂出勤率。研究人员基于当前累计平均学分绩点（CGPA）、学期平均学分绩点（SGPA）、课堂出勤率、每日学习时长、学习频率、社交媒体使用时长以及英语能力，选定了目标列「学生状态（student status）」。