Opendatabay APP

Student Perceptions of Core and Elective Healthcare Courses

Education & Learning Analytics

Tags and Keywords

Physiotherapy

Education

Survey

Evaluation

Satisfaction

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Student Perceptions of Core and Elective Healthcare Courses Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

Evaluating the academic experiences of physiotherapy students through end-of-term feedback provides vital insights into course satisfaction and departmental needs. Collected originally by a class representative to inform faculty decision-makers, these records capture student perspectives on the necessity of core subjects like Physics and Microbiology alongside their enjoyment of various electives. This collection offers a detailed look at how students in a specialised healthcare field perceive their curriculum's relevance to their future professional lives.

Columns

  • Time Stamp: The specific date and hour the participant completed the questionnaire.
  • English Lesson Groups: The classification of students based on their English proficiency levels, ranging from A2 to C1 (S06, S13, S17, S19).
  • With Subtitles: A binary indicator (1=Yes, 0=No) reflecting student interest in using subtitled foreign media as a teaching tool.
  • Physics Course: A metric measuring whether students believe the physics curriculum is beneficial for their professional career (1=Yes, 0=No).
  • Microbiology Needs: An assessment of whether the microbiology course is viewed as meaningful and necessary for the physiotherapy department (1=Yes, 0=No).
  • Elective Courses: The specific elective subject chosen by the student, including Athlete Health (1), Health Professional Ethics (2), First Aid (3), or Sociology of Body and Health (4).
  • Elective Course Satisfaction: A qualitative rating of the student's experience with their chosen elective, scaled from 1 (Bad) to 4 (Excellent).

Distribution

The information is delivered in a single CSV file titled istinye_term_evaluation.csv with a file size of approximately 2.45 kB. It contains 54 valid records across 7 structured columns. The data exhibits high integrity with a 100% validity rate and no missing or mismatched entries across the surveyed variables.

Usage

This resource is ideal for educational researchers performing sentiment analysis on healthcare student feedback. It is well-suited for building classification models to identify factors that drive high satisfaction in elective courses. Additionally, data analysts can use the records to explore the correlation between language proficiency levels and student opinions on modern teaching methods like subtitled media.

Coverage

The geographic scope is focused on a specific university's physiotherapy and rehabilitation department. Temporally, the records reflect responses gathered during February 2018. The demographic coverage consists of undergraduate students categorized by their English language levels, providing a snapshot of a single academic cohort's attitudes.

License

CC BY-NC-SA 4.0

Who Can Use It

Academic administrators can leverage these records to identify areas for curriculum improvement and better align course content with student expectations. Data science students may utilise the variety of binary and categorical fields to practice exploratory data analysis and basic statistical modelling. Furthermore, curriculum developers can explore the data to understand the perceived utility of basic sciences within applied health programmes.

Dataset Name Suggestions

  • Physiotherapy Student Course Satisfaction and Evaluation Survey
  • End-of-Term University Feedback: Physiotherapy Department Records
  • Student Perceptions of Core and Elective Healthcare Courses
  • Physiotherapy Academic Satisfaction and Curriculum Utility Index
  • University Student Evaluation Data: English Levels and Course Feedback

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

29/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Loading...

Free

Download Dataset in ZIP Format