What critical Insights on Elective Courses can Business Schools obtain from Demand Estimation Survey?

When academic processes are digitized, every process execution generates valuable data. This automation provides insights that can be analyzed regularly to enhance student-centric offerings and improve the efficiency of various academic program office activities.

The data generated can be analyzed at multiple levels, including individual students, specific programs, and custom parameters defined by the program offices and stakeholders. Here are some key applications of this data analysis:

Electives on Demand:

• Identify elective courses and workshops that are in high demand among students.
• Detect courses with low demand and consider excluding them from future offerings.
• Enable program offices to plan additional sessions for in-demand elective courses and adjust schedules accordingly.
• Prepare Data Driven Timetables minimizing clashes for students accounting Faculty Time-slot preferences.
• Enhance the available course enrolment options for students by at least a factor of 10.
• Increase course enrolments.
• Improve course offering quality.

Student Credit Registration Tracker:

• Monitor students' success rates in registering for the minimum required elective credits each semester.

Waitlist Measurement and Add & Drop Tracker:

• Identify electives with possibility for long waitlists and track courses with high drop rates after the first class.

Measure Auction Intensity:

• Identify courses with possibility for clearing bid prices in bidding round using the pre-bidding demand parameters for all electives and courses.

Process Analytics Dashboard Applications

By analyzing anonymized process data, high-level insights can be derived, particularly concerning bidding outcomes. This allows program offices to identify demand trends for various electives. Here are some specific insights that can be gained:

• Elective-wise demand estimation
• Survey data analysis for electives offered in a semester or term

To learn more about designing the elective bidding process and creating objectives from process analytics exercises at your institution, please contact us at Registro@edtex.in.

‍

‍