Standard 6
Learner Progression
Standard 6: Learner Progression
6.1 The school has policies and procedures for admissions, acceptance of transfer credit, academic progression toward degree completion, and support for career development that are clear, effective, consistently applied, and aligned with the school's mission, strategies, and expected outcomes.
6.2 Post-graduation success is consistent with the school’s mission, strategies, and expected outcomes. Public disclosure of academic program quality supporting learner progression and post-graduation success occurs on a current and consistent basis.
Analyze and Forecast Enrollment Trends Under Various Scenarios
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Use Case
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Data Needed
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Prompt
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Predict domestic and international enrollment over the next 3 years under three tuition scenarios, keeping other factors constant: no tuition increase, 5% tuition increase for each of the next three years, 10% tuition increase for each of the next three years
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Enrollments for the past 7 years and accompanying tuition for each of those years; student demographics (age, gender, resident or nonresident)
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Considering the provided data on domestic and international enrollments for the past 7 years, generate projections on future enrollments under each tuition scenario provided. Respond with a request for additional data that would make the forecasts more accurate.
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Predict domestic and international enrollment over the next 3 years under three marketing scenarios, keeping other factors constant: no change in current marketing budget of X, 5% increase in marketing budget for each of the next three years, 10% increase in marketing budget for each of the next three years
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Enrollments for the past 7 years and accompanying data on marketing spends by channel (print, social media, billboards) for each of those years; data on impact of marketing (e.g., clickthrough data)
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Considering the provided data on domestic and international enrollments for the past 7 years, and the data on marketing spends and channels used, generate projections on future enrollments under each marketing budget scenario provided. Respond with a request for additional data that would make the forecasts more accurate.
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Analyze Admissions Applications
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Use Case
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Data Needed
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Prompt
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Score admission applications for prospective students to provide a list of likely to succeed applicants
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List of applicants along with quantitative data relating to the admission criteria for each applicant, including any qualitative factors that are taken into consideration in the admission decision.
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Considering the data provided on applicants to our program (UG/G), and the criteria for admission provided, rate each applicant on a 1 to 5 scale where 5 is most likely to succeed in the program.
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Analyze the Success of a PhD Program
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Use Case
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Data Needed
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Prompt
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Analyze student placements for PhD students over the past 20 years to determine trends in type of school successful students are placed at, average amount of time in program (by program), attrition rates, and success at first school placed
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List of all PhD students accepted into each PhD program you wish to track, standardized test scores, admission date into program and graduation date for each student, by program, initial placement, and whether or not the student gained tenure at their first school (if tracked)
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Considering the data provided on PhD students scores on standardized tests, duration in the program, initial placement school and its profile (R1, R2, etc.), and data on whether the student achieved tenure, provide an assessment of the degree of success of the PhD program. Success is measured in terms of timely graduation, placement at R1 schools, and obtaining tenure at the initially placed school.
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Analyze Post-Graduate Success for Alumni
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Use Case
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Data Needed
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Prompt
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Determine employment rates and trends for alumni over the past six years (corresponding with CIR cycle). Identify the degree programs with the highest placement rate at graduation and track which employers are hiring your graduates over time, paying specific attention to trends over time
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Graduation exit surveys, data from 3rd parties such as LinkedIn (where individuals have opted to share this data), Career center reports. The data should be at the level of individual graduates, indicating the degree program, whether employment was obtained upon graduation or the number of months after graduation the employment began, and the employer name.
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Considering the data on our graduates provided from exit surveys, LinkedIn data, and career center data, analyze the trends in the data and note the degree programs with the highest placement rate at graduation and the employers who most frequently hire our graduates by degree program.
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Analyze Success in Monitoring and Facilitating Student Progression
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Use Case
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Data Needed
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Prompt
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Determine the rate of success in retaining students in the program (UG/G) and facilitating their on-time graduation.
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Student level data for the last 5 years on performance by course (grades), per semester course load, credit hours completed, and percentage of progress towards graduation (100% = student has graduated)
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Considering the data provided on student performance and progression through the program, generate a report showing the rate of on-time graduation by semester, highlighting any discernable trends. Create a visualization to depict the trends.
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