Best Perplexity prompts for Teaching Assistants, Postsecondary

Create a detailed grading rubric for a 300-level psychology course, including criteria for assessing student understanding of research methods, statistical analysis, and ethical considerations, with specific point allocations for each criterion and a sample grading scale. Ensure the rubric is aligned with the learning objectives outlined in the course syllabus and includes a section for providing constructive feedback to students. Assume a class size of 25 students and a 10-week semester.

Develop an algorithm to recommend personalized learning pathways for students in a introductory biology course, based on their performance on quizzes, assignments, and exams, as well as their self-reported learning goals and preferred learning styles. The algorithm should take into account the student's current grade level, pace of progression, and areas of strength and weakness, and provide tailored suggestions for supplemental resources, tutoring, or additional support services. Use a dataset of 100 students and assume a correlation coefficient of 0.7 between quiz scores and final exam performance.

Design a comprehensive template for documenting and reporting incidents of academic dishonesty in a postsecondary setting, including sections for describing the incident, identifying the students involved, and outlining the institutional policies and procedures for addressing the infraction. Ensure the template includes space for detailing the evidence collected, the actions taken, and the outcomes or sanctions imposed, as well as a section for reflecting on the incident and suggesting strategies for preventing similar incidents in the future. Assume a scenario in which two students are accused of collaborating on a take-home exam.

Conduct a longitudinal analysis of student engagement metrics, including attendance, participation, and assignment submission rates, for a cohort of 50 students enrolled in a two-year postsecondary program. Using a mixed-methods approach, combine quantitative data from the learning management system with qualitative insights from focus groups and surveys to identify trends, patterns, and correlations between engagement metrics and student outcomes, such as graduation rates, GPA, and job placement. Assume a significant decline in engagement during the second semester and explore potential factors contributing to this decline, including changes in instructor, curriculum, or campus resources.