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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

TechStudents

tags: Enrollment, Attendance, SkillProgression

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'TechStudents' dataset is a hypothetical collection of data extracted from an online technology and programming school. The dataset contains information about students' enrollment details, attendance records, and skill progression over time. Each record includes personal identifiers, course enrollment information, session attendance, and skill assessment scores. The dataset can be used to analyze student engagement, predict skill acquisition, and improve course offerings.

CSV Content Preview:

"StudentID","Name","EnrollmentDate","CourseID","SessionAttendance","SkillScore","Label"
"001","John Doe","2023-01-15","CS101","Full","85","HighEngagement"
"002","Jane Smith","2023-02-10","CS101","Partial","75","ModerateEngagement"
"003","Emily Johnson","2023-01-20","CS102","Full","90","HighEngagement"
"004","Michael Brown","2023-02-15","CS103","Missing","","LowEngagement"
"005","Sarah Davis","2023-03-01","CS101","Full","80","HighEngagement"

The 'Label' column is used to categorize students based on their engagement level. 'HighEngagement' students have full attendance and high skill scores, 'ModerateEngagement' students have partial attendance with moderate skill scores, and 'LowEngagement' students have missing attendance records or low skill scores.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Online technology and programming school student database':