Mission and objectives
Camara works to improve learning outcomes for underserved communities by expanding access to inclusive, technology‑enabled education solutions. Through its digital learning initiatives, Camara supports students and teachers with tools that strengthen subject learning, digital literacy, and equitable access to quality education. As part of this mission, Camara has developed the Camara AI Assistant, an offline, curriculum-aligned digital learning tool used in schools to support classroom instruction, exam preparation, and independent learning. To strengthen evidence‑based decision‑making and accountability to education partners, Camara seeks to design a Digital Learning Analytics and Impact Reporting Dashboard that transforms system-generated learning data into actionable insights. This assignment aims to support the development of a structured digital reporting solution that enables Camara to better monitor learning engagement, inform program improvement, and strengthen data‑driven reporting to donors and relevant education stakeholders.Context
Task Description
Camara Education Ethiopia is seeking two (2) Online Volunteers with complementary skills in learning analytics, data modeling, digital reporting, and education‑focused monitoring and evaluation. Under the supervision of the Digital Learning & AI Lead at Camara, Online Volunteers will collaboratively support the conceptual design and documentation of a Digital Learning Analytics & Impact Reporting Dashboard. The assignment focuses on defining a structured, privacy‑conscious reporting framework that enables the aggregation and interpretation of learning engagement data generated by Camara’s digital learning tools. The assignment is task‑based, time‑bound, and fully remote, in line with UNV Online Volunteering criteria. Online Volunteers will collaborate virtually through email, shared documents, and periodic coordination calls, and will receive regular guidance and feedback from the supervising team. Online Volunteers will contribute to the following tasks: - Design a high‑level analytics and reporting framework for consolidating school‑level digital learning data into a centralized dashboard. - Define learning‑relevant data elements and indicators that support monitoring of access, engagement, and adoption trends. - Propose standardized metrics for AI‑supported learning usage, such as frequency of use, session patterns, and subject coverage. - Develop conceptual data flow diagrams illustrating how data moves from school environments to reporting and visualization layers. - Recommend approaches for aggregating and visualizing data in a manner that is privacy‑compliant and suitable for education reporting. - Suggest offline‑first and low‑connectivity‑appropriate design considerations to support deployment in resource‑constrained school settings. - A high‑level implementation roadmap outlining phased development considerations. - Produce clear documentation outlining the proposed framework, assumptions, and reporting use cases for internal and external stakeholders. All outputs will be advisory and design‑focused, delivered in editable formats, and structured as implementation‑ready handover materials to support a subsequent online UNV software developer (or Camara’s technical team) in developing a fully functional system. Tasks will be distributed between the two Online Volunteers based on expertise, with close collaboration to ensure coherent and integrated outputs.Competencies and values
Living conditions and remarks