Artificial Intelligence Platforms

The vendor is required to provide for artificial intelligence (AI) platforms, although ancillary services may be Included in the provision of these items.
- Type of AI used and description
•    Intelligent tutoring systems and agents (ITS): Personalized instruction based on students’ individual learning needs and progress
•    Adaptive learning and assessment platforms: Adjust the difficulty level and content of learning materials based on the students’ performance and learning pace
•    Natural language processing (NLP): Analyze and understand student’s written or spoken responses, providing feedback or assistance in language learning tasks.
•    Machine learning-based recommended systems: Recommend educational resources, such as books, videos, or exercises, based on students’ preferences, learning styles, and performance history.
•    Virtual assistants: Provide automated and personalized support by handling tasks, answering questions, and managing workflows.
•    Chatbots and LLMs: Facilitate automated and interactive communication; provide instant responses to questions and assists with various tasks through natural language processing.
•    Data analytics and predictive modeling: Analyze historical data and identify patterns to forecast future trends and inform strategic decision-making.
•    Gamification and personalized learning paths: Enhance engagement and optimize individual learning experiences by incorporation fame-like elements and tailoring educational content to each learner’s unique needs and progress.
•    Computer vision: Interpret, analyze, and generate visual data, mimicking human visual perception for applications such as image recognition, object detection, and image synthesis.
•    Recommender systems and filtering: analyze user preferences and behavior to suggest personalize content, products, or services
•    Translation: Translate text from one language to another, leveraging advanced machine-learning techniques to understand and generate human-like language translations.
•    Time series analysis: Analyze and interpret temporal data points to identify patterns, trends, and seasonal variations, aiding in forecasting and decision-making.
•    Reinforcement learning: Teaches optimal behaviors and decision-making policies by interacting with an environment and receiving feedback through rewards and penalties.
- AI use and description
•    Personalized learning: Customized learning to match a students’ strengths, weaknesses, and learning styles.
•    Enhanced teaching and learning: Assist teachers in delivering more effective instruction and help students grasp difficult concepts more easily.
•    Automated grading and feedback: Automate the grading for assignments, quizzes, and exams; provides immediate feedback to students.
•    Identifying learning gaps: Analyze student performance data to identify areas where students are struggling and provide targeted interventions to address learning gaps.
•    Supporting special education: Additional support and accommodations for students with special needs, including personalized learning plans and assistive technologies
•    Promoting engagement and motivation: Gamification elements and interactive learning experiences; increase student engagement and motivation
•    Administrative support: Assist with administrative tasks such as scheduling, grading, and managing educational resources
•    Parental engagement: Provide parents with insights into their student’s academic progress, for communication and collaboration between parents, students, and teachers.

- Contract Period/Term: 5 years
- Pre-Proposal Vendor Conference 1 (Non-Mandatory) Date: August 6, 2025
- Pre-Proposal Vendor Conference 2 (Non-Mandatory) Date: September 15, 2025
- Questions/Inquires Deadline: September 16, 2025