Turkiye Student Evaluation
Donated on 8/31/2013
This data set contains a total 5820 evaluation scores provided by students from Gazi University in Ankara (Turkey). There is a total of 28 course specific questions and additional 5 attributes.
Dataset Characteristics
Multivariate
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
5820
# Features
-
Dataset Information
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
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no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no |
0 to 10 of 33
Additional Variable Information
instr: Instructor's identifier; values taken from {1,2,3} class: Course code (descriptor); values taken from {1-13} repeat: Number of times the student is taking this course; values taken from {0,1,2,3,...} attendance: Code of the level of attendance; values from {0, 1, 2, 3, 4} difficulty: Level of difficulty of the course as perceived by the student; values taken from {1,2,3,4,5} Q1: The semester course content, teaching method and evaluation system were provided at the start. Q2: The course aims and objectives were clearly stated at the beginning of the period. Q3: The course was worth the amount of credit assigned to it. Q4: The course was taught according to the syllabus announced on the first day of class. Q5: The class discussions, homework assignments, applications and studies were satisfactory. Q6: The textbook and other courses resources were sufficient and up to date. Q7: The course allowed field work, applications, laboratory, discussion and other studies. Q8: The quizzes, assignments, projects and exams contributed to helping the learning. Q9: I greatly enjoyed the class and was eager to actively participate during the lectures. Q10: My initial expectations about the course were met at the end of the period or year. Q11: The course was relevant and beneficial to my professional development. Q12: The course helped me look at life and the world with a new perspective. Q13: The Instructor's knowledge was relevant and up to date. Q14: The Instructor came prepared for classes. Q15: The Instructor taught in accordance with the announced lesson plan. Q16: The Instructor was committed to the course and was understandable. Q17: The Instructor arrived on time for classes. Q18: The Instructor has a smooth and easy to follow delivery/speech. Q19: The Instructor made effective use of class hours. Q20: The Instructor explained the course and was eager to be helpful to students. Q21: The Instructor demonstrated a positive approach to students. Q22: The Instructor was open and respectful of the views of students about the course. Q23: The Instructor encouraged participation in the course. Q24: The Instructor gave relevant homework assignments/projects, and helped/guided students. Q25: The Instructor responded to questions about the course inside and outside of the course. Q26: The Instructor's evaluation system (midterm and final questions, projects, assignments, etc.) effectively measured the course objectives. Q27: The Instructor provided solutions to exams and discussed them with students. Q28: The Instructor treated all students in a right and objective manner. Q1-Q28 are all Likert-type, meaning that the values are taken from {1,2,3,4,5}
Dataset Files
File | Size |
---|---|
turkiye-student-evaluation_R_Specific.csv | 421.5 KB |
turkiye-student-evaluation_generic.csv | 382.8 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset turkiye_student_evaluation = fetch_ucirepo(id=262) # data (as pandas dataframes) X = turkiye_student_evaluation.data.features y = turkiye_student_evaluation.data.targets # metadata print(turkiye_student_evaluation.metadata) # variable information print(turkiye_student_evaluation.variables)
Fokoue, E. & Gunduz, N. (2013). Turkiye Student Evaluation [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5S02S.
Creators
Ernest Fokoue
Necla Gunduz
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.