Mathematics Teacher - Educational Research Study

Position Overview Tatu City's AI Learning Lab is seeking a qualified, dependable, and learner-focused Mathematics Teacher to support the implementation of a structured educational research study involving Grade 7 and Grade 8 learners. The study aims to evaluate the effectiveness of teacher-assisted learning compared to AI-assisted learning using Microsoft Copilot, while learners engage in self-paced mathematics practice through Khan Academy. The selected teacher will facilitate learning sessions for a cohort of approximately 20-25 learners and ensure strict adherence to the study's instructional and research protocols. This role is ideal for an educator who values evidence-based practice, can operate within a highly structured environment, and is skilled at guiding learners through questioning and coaching rather than direct instruction. Key Responsibilities 1. Instructional Facilitation and Learner Support Facilitate two 40-minute mathematics learning sessions per week over a 12-week period (24 sessions in total). Support learners using the project's standardized Common Help Ladder framework. Provide brief, targeted coaching interventions that promote learner reasoning, self-correction, and conceptual understanding. Limit learner support interactions to approximately 2-3 minutes per learner to maintain consistency across participants. Encourage independent problem-solving by using guided questioning techniques rather than providing direct answers. Maintain a positive, inclusive, and supportive learning environment that encourages learner engagement and confidence. Ensure all instructional support aligns with approved research protocols. 2. Curriculum Delivery and Session Management Support learning exclusively within the approved Grade 7 or Grade 8 Khan Academy mathematics pathway. Follow the prescribed instructional sequence, including topics such as- Proportional Relationships, Equations and Expressions, Linear Relationships. Geometry and Measurement and other approved curriculum topics. Deliver all sessions consistently, maintaining the prescribed timing, pacing, and learning conditions. Refrain from assigning homework, conducting additional lessons, or introducing unapproved teaching materials. Ensure learners remain focused on approved study activities throughout each session. 3. Research Integrity and Assessment Security Adhere strictly to all study procedures, protocols, and operational guidelines. Maintain accurate session documentation using assigned participant research identification numbers only. Protect learner confidentiality and ensure personal information is not recorded in research documentation. Ensure that no AI tools, including Microsoft Copilot, are used within the teacher-assisted study cohort. Promptly report any protocol deviations, operational concerns, or incidents that may affect study outcomes or validity. Support efforts to maintain consistency and reliability across all study…