(1) Vendor needs to provide tutoring solution.– Outline the methods of remediation used when students are not mastering content, including whether these are AI–generated, human–delivered, or hybrid. Indicate any screen monitoring or behaviour analytics tools included in the platform, and detail privacy safeguards for student data. Product works on multiple platforms (e.g., Windows, macOS, iOS, Android, Chrome OS). Types of reporting dashboards, alerts, and notifications available for educators and administrators. Reports can be customized, exported, or automated, and include sample screenshots. Product collects student engagement, performance, and usage data, and whether this data is gathered through human interactions, automated tools, or AI. Clearly identify any AI–driven analytics or predictive features. Provide information on the ability to extract raw data in standardized formats (e.g., CSV, JSON, Excel) for integration into existing district data systems. Identify any API or SIS/LMS integration capabilities (e.g., Clever, ClassLink, PowerSchool, Canvas). Platform allows for easy import of student data, including bulk upload, secure transfer protocols, and integrations with student information systems. Data validation and de–duplication are handled. Teachers and administrators can track student progress, view performance trends, and monitor growth over time. Include whether the system supports custom goal setting, alerts for off–track students, and visual analytics such as graphs or heatmaps. AI or machine learning is used in any part of the product (instruction, scoring, recommendations, student interaction, etc.).