Best Jasper prompts for Computer Science Teachers, Postsecondary

Create a Python script that takes in a set of learning objectives, assignment requirements, and evaluation criteria, and generates a weighted grading rubric in CSV format, including columns for student name, assignment submission, and automated feedback based on predefined thresholds for code quality, readability, and functionality. Assume a dataset of 500 students and 10 assignments per semester, and optimize the script for scalability and flexibility.

Design a machine learning model that recommends customized learning pathways for students based on their prior academic performance, learning style, and career goals, using a dataset of 10,000 student records and 500 course offerings. The model should output a ranked list of 5 recommended courses, along with a confidence score and a brief explanation of the reasoning behind each recommendation. Implement the model in TensorFlow and evaluate its performance using precision, recall, and F1-score metrics.

Develop a web-based application that allows students to submit their code assignments and receive immediate, automated feedback on syntax, style, and functionality, using a combination of static analysis tools and machine learning algorithms. The system should support multiple programming languages, including Python, Java, and C++, and provide a user-friendly interface for students to view and respond to feedback. Implement the application using a microservices architecture and evaluate its performance using load testing and user experience metrics.

Create a data visualization dashboard that maps the computer science curriculum to industry-driven skill sets and job market demands, using a dataset of 1,000 job postings and 500 course syllabi. The dashboard should identify gaps and mismatches between the curriculum and industry requirements, and provide recommendations for updating the curriculum to better align with workforce needs. Implement the dashboard using Tableau or Power BI, and evaluate its effectiveness using surveys and focus groups with industry partners and academic stakeholders.