麻豆传媒高清

Standard 6

Learner Progression

Updated September 9, 2025

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.


Sophos Your Accreditation AI Companion

  • Use a pre-defined prompt: click on a prompt listed above the chat field for a quick way to jump in to your conversation.
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Data Model and Use

  • The Sophos (Betty) underlying data model is built on a flexible architecture that leverages several advanced AI models, including, but not limited to, OpenAI, Anthropic, and Gemini.
  • If you need to reference official 麻豆传媒高清 standards or accreditation guidance, please always check the most current policies and documents on 麻豆传媒高清’s website.
  • Sophos is a generative AI tool and its responses are not created or reviewed by humans. Sophos should not be relied on for official accreditation decisions or as a substitute for 麻豆传媒高清’s published standards, policies, or guidance. 麻豆传媒高清 provides Sophos to assist members in exploring AI use cases and accreditation-related information, but does not guarantee the accuracy or completeness of its responses. Like any generative AI tool, Sophos may provide inaccurate or incomplete information. It is your responsibility to verify important details through 麻豆传媒高清’s official resources or by consulting directly with 麻豆传媒高清 staff. By using Sophos, you agree to these Terms of Use.

Does Sophos use my data to train AI?
No. The questions you ask and any text you paste into Sophos are not used to train the underlying AI model. Sophos processes your input in real time to generate a response, but your data does not get fed back into the model. 麻豆传媒高清 may review anonymized, aggregated usage patterns (for example, the kinds of prompts members are using) to help improve the experience and make Sophos more useful. However, your specific queries, conversations, and pasted content remain private and are not used for model training. 


Additional Sample AI Prompts

Use these AI prompt and data input suggestions as a starting point for meeting 麻豆传媒高清's accreditation standards. These prompts were generated based on input from our members in 100+ countries and we encourage you to customize them based on your school's unique needs. Get started by copying and pasting a prompt and supporting documentation into an AI tool or GPT of your choice.

Analyze and Forecast Enrollment Trends Under Various Scenarios
Use Case
Data Needed
Prompt
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
Enrollments for the past 7 years and accompanying tuition for each of those years; student demographics (age, gender, resident or nonresident)
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.
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
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)
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.
Analyze Admissions Applications
Use Case
Data Needed
Prompt
Score admission applications for prospective students to provide a list of likely to succeed applicants
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.
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.
Analyze the Success of a PhD Program
Use Case
Data Needed
Prompt
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
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)
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.
Analyze Post-Graduate Success for Alumni
Use Case
Data Needed
Prompt
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
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.
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.
Analyze Success in Monitoring and Facilitating Student Progression
Use Case
Data Needed
Prompt
Determine the rate of success in retaining students in the program (UG/G) and facilitating their on-time graduation.
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)
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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