This R package calculates grades for a course. The package allows users to customize their own course information with self-defined course component names, to update grades for different course components, and even understand how well the final exam needs to be to pass the course or achieve a target final grade.
This package contains the following functions:
-
construct_course: Allow users to input the information for one course component (for example, assignment name and corresponding weight) one by one. Saves the course information as a .csv file to the specified file path. (Note: any user self-defined course component name(s) can be accepted) -
update_grades: Allow users to update course component grade(s) by loading a certain saved course .csv file. The function can then save the updated course information as a new .csv file to the specified file path. -
predict_final: Calculate how well the final exam has to be in order to pass the course or achieve a certain grade just before the final exam (for the scenario only when the final grade is missing), based on the provided other course component information. -
calculate_grade: When all course components are presented, calculate the course overall grade based on information provided.
This course grade calculator is unique as it provides an interactive way for users to input the course component information and update information as needed. With the predict_final function available, users can understand how well the final exam has to be in order to pass the course or achieve a certain level of grade in this course, then adjust their final review plans based on our calculation, to meet the course expectation.
The package predict_final function does not take any users' previous study or course information into account to calculation of the desired final performance, only based on the current course component information inputted/updated.
There are other course grade calculators in the R ecosystem. An similar example can be found here but it serves a group of students. While other packages focus on auto-grading or group of students without user interaction and they do not provide similar functions like predict_final function in this package.
You can install the development version of gradecalculatorr from GitHub with:
# install.packages("devtools")
devtools::install_github("UBC-MDS/gradecalculatorr")To get started, we load the library:
library(gradecalculatorr)
Next, let's explore the the function construct_course():
construct_course('dsci524','/')
#> construct_course('dsci524','/')
# What is name of dsci524 component #1? lab1
# What is weight percentage of dsci524 component #1? 15
# What is name of dsci524 component #2? lab2
# What is weight percentage of dsci524 component #2? 15
# What is name of dsci524 component #3? lab3
# What is weight percentage of dsci524 component #3? 15
# What is name of dsci524 component #4? lab4
# What is weight percentage of dsci524 component #4? 15
# What is name of dsci524 component #5? quiz1
# What is weight percentage of dsci524 component #5? 20
# What is name of dsci524 component #6? quiz2
# What is weight percentage of dsci524 component #6? 20
# Components Weights (%) Grades (%)
# 1 lab1 15 <NA>
# 2 lab2 15 <NA>
# 3 lab3 15 <NA>
# 4 lab4 15 <NA>
# 5 quiz1 20 <NA>
# 6 quiz2 20 <NA>
Then, let's update the grades:
update_component_grade('dsci524.csv', 'lab1', 90.15)
update_component_grade('dsci524.csv', 'lab2', 88.22)
update_component_grade('dsci524.csv', 'lab3', 86.65)
update_component_grade('dsci524.csv', 'lab4', 88.75)
update_component_grade('dsci524.csv', 'quiz1', 90.15)
Then, let's calculate how well the quiz2 has to be in order to get 85% total for course 524:
predict_final('dsci524.csv', 85)
# > [1] 69.5
After quiz2, we know we get 90 for quiz2 and let's calculate the overall grade for course 524:
update_component_grade('dsci524.csv', 'quiz2', 90.25)
calculate_grade('dsci524.csv')
# > [1] "Course grade is 89.15%"
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
Members of Group 20 of DSCI524 at UBC:
Chen Lin, Edward Yukun Zhang, Shirley Zhang
gradecalculatorpy was created by Chen Lin, Edward Yukun Zhang, Shirley Zhang. It is licensed under the terms of the MIT license.