dataset_demographics: Returns the formatted demographic data set

Description

Load and formats the student demographic data set from the OULAD for data analysis.

Usage

dataset_demographics(
  module = c("All", "AAA", "BBB", "CCC", "DDD", "EEE", "FFF", "GGG"),
  presentation = c("2013B", "2014B", "2013J", "2014J", "All", "Summer", "Winter"),
  repeat_students = c("remove", "keep")
)

Value

Returns one tibble (object of class tbl_df), called 'studentInfo', based on the OULAD studentInfo.csv file and the specified inputs (module, presentation, and repeat_students).

The tibble consists of 12 columns (Kuzilek et al., 2017):

code_module - module identification code.
code_presentation - module presentation identification code.
id_student - the unique student identification number.
gender - student’s gender, either Male or Female.
region - the geographic region where the student lived while taking the module-presentation.
highest_education - the highest student education level on entry to the module presentation.
imd_band - the index of multiple deprivation band of the place where the student lived during the module-presentation.
age_band - a band of student’s age.
num_of_prev_attempts - the number of times the student has attempted this module previously.
studied_credits - the total number of credits for the modules the student is currently studying.
disability - indicates whether the student has declared a disability.
final_result - student’s final result in the module-presentation.

Arguments

module: name of the module to be included, either "All", "AAA", "BBB", "CCC", "DDD", "EEE", "FFF" or "GGG".
presentation: name of the semester of the module to be included, either "2013B", "2014B", "2013J", "2014J", "All", "Summer" or "Winter". "B" indicates a February start time whereas "J" indicates an October start time. "All" indicates that all presentations of the module will be included in the returned data. "Summer" returns both "2013B" and "2014B". "Winter" returns both "2013J" and "2014J".
repeat_students: indicator of whether students who had previous attempts at the module should be removed, either "remove" or "keep".

References

Kuzilek, J., Hlosta, M., & Zdrahal, Z. (2017). Open university learning analytics dataset. Scientific Data volume 4 , (pp. 1–8). https://doi.org/10.1038/sdata.2017.171.

Examples

Run this code

dataset_demographics(module = "BBB", presentation = "2013J", repeat_students = "remove")