Curriculum
Standard 4: Curriculum
4.1 The school delivers content that is current, relevant, forward-looking, globally oriented, aligned with program competency goals, and consistent with its mission, strategies, and expected outcomes. The curriculum content cultivates agility with current and emerging technologies.
4.2 The school manages its curriculum through assessment and other systematic review processes to ensure currency, relevancy, and competency.
4.3 The school’s curriculum promotes and fosters innovation, experiential learning, and a lifelong learning mindset. Program elements promoting positive societal impact are included within the curriculum.
4.4 The school’s curriculum facilitates meaningful learner-to-learner and learner-to-faculty academic and professional engagement.
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Additional Sample AI Prompts
Looking for more inspiration? Below is a list of suggested prompts for you to customize as a starting point for meeting 樱桃导航's accreditation standards. These prompts were generated based on input from our members in 100+ countries and territories and we encourage you to edit them based on your school's unique needs. Get started by copying and pasting a prompt and supporting documentation into 樱桃导航’s AI Assistant or another AI tool or GPT of your choice.
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Use Case
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Data Needed
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Prompt
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Provide a summary in tabular form by degree program identifying where emerging technologies are used in the curriculum.
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Course catalog for the business school listing course offerings in a tabular format, with columns indicating the discipline, course level, technologies used by students, and type of use
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Using the data provided on courses, course level, technology used, and nature of use, provide a critique regarding the extent to which emerging technologies are being used in the curriculum.
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Identify gaps in the curriculum where emerging technologies do not appear to be used
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Same as above
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Using the same data, identify areas of superior technology usage and opportunities for improvement in courses where emerging technologies are not being used. Include an analysis by discipline and course level.
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Use Case
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Data Needed
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Prompt
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Provide a syllabus for a new course in machine learning
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None
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Provide an outline of a new course at the graduate level in my business school on machine learning in [accounting/ finance/ marketing/ management/ information systems]. Include an appropriate title of the course, course objectives, student learning outcomes, prerequisites, and suggested content broken down into modules. For each student learning outcome, suggest assignments and other assessment methods and weights for each of the assignments and assessment methods.
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Suggest a capstone group project with grading rubric for this assignment. Include a point allocation for each element of the grading rubric, assuming it is a 25 point assignment.
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Course description, indication of course level (UG/G) and all learning outcomes for a course.
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Based on the provided course description, course level, and learning outcomes, generate a capstone group project that addresses multiple learning outcomes. The project should require students to conduct extensive research in the domain and include their own opinions on elements of the project that may be controversial. The deliverables should include a 20-page paper and a presentation. Include a grading rubric with an appropriate point breakdown, assuming the project is worth 50 points.
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Use Case
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Data Needed
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Prompt
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Summarize the curriculum enhancements and improvements that have been made over the past six years, by degree program.
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AoL documentation from the last six years, with clearly labeled sections indicating program type, learning outcomes, targets, indications of whether the targets were met, and how the results have been used. Committee notes.
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Using the provided data on AOL (assurance of learning), focusing on the subsections on how results have been used, summarize curricular enhancements and improvements made over the past six years. Organize your output by degree program.
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Identify opportunities for continuous improvement in curriculum review.
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Same as above
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Using the provided data on AOL, including all associated narratives, critique the curriculum review process and identify opportunities for continuous improvement going forward.
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We are always learning.
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