Education · Part-time
Direct employerMathematics Teacher - Educational Research Study
Tatu CityNot stated · Not statedDeadline not published by employerChecked 5 Oct 2026
Published by employer
About this role
Role overview
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.
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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.
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.
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 sessions.
Safeguarding, Ethics, and Data Protection
- Comply fully with all child safeguarding policies and procedures.
- Adhere to all ethical research, confidentiality, and data protection requirements.
- Immediately report and escalate any safeguarding concerns, data privacy breaches or incidents, technical disruptions, research protocol deviations, health and safety concerns.
- Collaborate with project leadership and research staff to maintain a safe, compliant, and learner-centered environment.
- Demonstrate professionalism and ethical conduct when interacting with learners, parents, and project stakeholders.
Requirements
- Diploma, bachelor’s degree, or equivalent qualification in Education.
- Specialization in Mathematics, Science, or a related field is preferred.
- Current Teacher Service Commission (TSC) registration will be an added advantage.
- Proven experience teaching Mathematics at Grade 7 and/or Grade 8 level.
- Strong understanding of the Kenyan Competency-Based Curriculum (CBC), particularly Junior Secondary Mathematics.
- Experience supporting learners with diverse learning needs and ability levels.
- Previous participation in educational programs, pilot projects, or research studies is desirable but not mandatory.
- Basic digital literacy and proficiency in using technology for learning.
- Ability to navigate learning management systems and online educational platforms.
- Competence in using tablets, laptops, web-based applications, and other digital learning tools.
- Comfortable supporting learners in a technology-enabled learning environment