Best Perplexity prompts for Computer Science Teachers, Postsecondary

Design a grading rubric for a data structures course that assesses students' understanding of algorithmic complexity, including time and space complexity analysis, using a combination of multiple-choice questions, short-answer problems, and programming assignments; the rubric should include clear criteria for evaluating student performance, such as accuracy, efficiency, and code quality, and provide examples of exemplary, satisfactory, and unsatisfactory work; ensure the rubric is aligned with the course learning objectives and can be used to provide constructive feedback to students.

Develop a personalized learning path recommendation system for introductory programming courses, using a collaborative filtering approach that takes into account students' prior knowledge, learning style, and performance on previous assignments; the system should suggest a customized sequence of topics, including programming concepts, data structures, and software engineering principles, and provide adaptive feedback to students based on their progress, using a combination of natural language processing and machine learning techniques; ensure the system is scalable, flexible, and can be integrated with existing learning management systems.

Create a code review and feedback generation system for programming assignments, using a combination of static analysis and dynamic analysis techniques to evaluate code quality, readability, and correctness; the system should provide detailed, constructive feedback to students on their code, including suggestions for improvement, and assess their understanding of programming concepts, such as modularity, abstraction, and recursion; ensure the system is robust, efficient, and can handle a large volume of submissions.

Conduct a curriculum mapping and alignment analysis for a computer science program, using a framework-based approach that assesses the coverage of learning objectives, outcomes, and standards; the analysis should identify areas of strength and weakness in the curriculum, including gaps in coverage, and provide recommendations for improvement, such as revising course syllabi, updating course materials, and developing new courses or programs; ensure the analysis is comprehensive, data-driven, and aligned with accreditation standards.