SOCR TurkiyeStudentEvalData

SOCR Data - Brain to Body Weight Dataset

Data Description

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Brain-to-body weight relation

Source

• Ernest Fokoue, Center for Quality and Applied Statistics, Rochester Institute of Technology, 98 Lomb Memorial Drive, Rochester, NY 14623, USA.
• Necla Gunduz, Department of Statistics, Faculty of Science, Gazi University, Teknikokullar,06500 Ankara, Turkey.

Variable Definitions

• 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.
• Note: Q1-Q28 are all Likert-type, meaning that the values are taken from {1,2,3,4,5}.

References

• Gunduz, G. & Fokoue, E. (2013). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science.

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• SOCR Home page: http://www.socr.umich.edu

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