New York is seeking a comprehensive tutoring solution that seamlessly integrates AI-driven, human, or hybrid remediation methods to support student learning mastery. Vendors must outline the specific approaches used when students are not mastering content, specifying whether remediation is delivered by artificial intelligence, human tutors, or a combination. The proposed platform should also include tools for screen monitoring, behavioral analytics, and robust safeguards to protect student privacy.

The solution must operate across multiple platforms, including Windows, macOS, iOS, Android, and Chrome OS. Reporting features should enable educators and administrators to access customizable dashboards, receive alerts and notifications, and export or automate detailed reports. These reports should include data on student engagement, performance, and usage, with clarity on whether information is collected through human interaction, automated tools, or AI systems. Any AI-driven analytics or predictive functionalities within the product should be highlighted.

Integration with existing student data systems is essential, requiring support for standardized data extraction formats like CSV, JSON, or Excel, and compatibility with APIs or common SIS/LMS platforms such as Clever, ClassLink, PowerSchool, and Canvas. The platform should facilitate efficient student data import, including bulk uploads and secure transfer protocols, as well as handle data validation and de-duplication. Additional features for educators, such as tracking student progress, performance trends, and growth over time, custom goal setting, visual analytics (e.g., graphs or heatmaps), and alerts for students who are off-track, should be specified. Any utilization of AI or machine learning in instruction, scoring, recommendations, or student interaction needs to be clearly described.