Problem: Collecting feedback from students manually is time-consuming and hard to manage.
Solution: Automates the collection of feedback from students after each lesson or course.
Benefits: Allows instructors to collect valuable insights from students, which can be used to improve course content and teaching methods.
Adoption: This system can be extended to send feedback requests automatically after each class, or integrated with other tools like surveys and email notifications.
Code:
import csv
# Function to collect feedback
def collect_feedback(student_name, course_name, feedback):
with open('feedback.csv', mode='a', newline='') as file:
writer = csv.writer(file)
writer.writerow([student_name, course_name, feedback])
print(f"Feedback collected from {student_name} for {course_name}.")
# Sample feedback data
feedback_data = [
('John Doe', 'Python Programming', 'Great course, very informative!'),
('Jane Smith', 'Data Science', 'The course content was very dense.'),
('Alice Brown', 'Machine Learning', 'Loved the hands-on projects.')
]
# Collect feedback
for record in feedback_data:
collect_feedback(record[0], record[1], record[2])
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