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Standardised Essay Test Results Analysis
Education & Learning Analytics
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About
Performance metrics from 23 practice essay examinations completed by a student are captured in this detailed collection. The data tracks outcomes across various subjects including Turkish, Mathematics, Geometry, History, Geography, and Citizenship. It provides a granular look at examination results, including correct answers, incorrect answers, blank responses, and the total time taken for each session. The primary focus is on the 'Essay Analysis' table, with derived insights available regarding subject-specific error rates and score calculations based on a standard negative marking scheme.
Columns
- Number of Essays: A sequential identifier for the 23 individual exam sessions tracked.
- EssayPublication: The publishing house brand of the exam booklet, anonymised (e.g., Brand 1, Brand 2).
- Date: The specific date on which the essay test was solved.
- True: The total count of correct answers achieved in the exam.
- False: The total count of incorrect answers marked.
- Blank: The number of questions left unanswered in the session.
- Net: The calculated net score, derived from the formula where four incorrect answers negate one correct answer, based on a total of 120 questions.
- Exam Duration: The total time taken to complete the examination, measured in minutes.
Distribution
The dataset is structured as a CSV file titled
Essay Analysis.csv, approximately 973 bytes in size. It contains 23 records (rows) representing the individual exams and includes 8 distinct columns. The data is clean, with 100% validity and no missing or mismatched values reported across the primary fields.Usage
- Student Performance Tracking: Monitoring progress and score fluctuations over a series of practice exams.
- Educational Analysis: Evaluating the difficulty and impact of different exam publishers on student results.
- Score Prediction: utilising variables like study duration and error rates to forecast future exam performance.
- Time Management Analysis: Correlating exam duration with net scores to optimise test-taking strategies.
Coverage
- Subject Scope: The data covers a curriculum consisting of Turkish (40 questions), Mathematics (40 questions), History (27 questions), Geography (18 questions), and Citizenship (15 questions).
- Geographic Relevance: The curriculum and subjects (Turkish, Citizenship) indicate the data is relevant to the Turkish education system.
- Temporal Scope: Contains specific dates of the exams (e.g., 29/12/23), allowing for time-series analysis.
- Demographic: Represents the performance of a beginner-level student.
License
CC BY-NC-SA 4.0
Who Can Use It
- Educators and Tutors: To analyse patterns in student errors and test endurance.
- Data Science Students: As a beginner-friendly dataset for practising regression, data visualisation, and cleaning techniques.
- Educational Researchers: Investigating the relationship between exam duration and accuracy in standardised testing scenarios.
Dataset Name Suggestions
- Student Practice Exam Performance Metrics
- Standardised Essay Test Results Analysis
- Turkish Curriculum Exam Progress Log
Attributes
Original Data Source:Standardised Essay Test Results Analysis
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