Expression of Interest: Learning Analytics Associate
Core
Design, prototype, and evaluate digital learning interventions using pedagogical theories and AI-assisted tools to improve K-12 education outcomes.
Role type
Entry-level researcher-practitioner in learning analytics and educational data science
Builds
Lightweight proof-of-concept educational tools (e.g., formative assessment assistants, scaffolding tools) and learning analytics frameworks
Domain
K-12 Education / Learning Sciences / Educational Data Science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Learning theories (cognitive load, constructivism), instructional design, educational research methodologies (DBIR, experimental design), statistical analysis (regression, mixed-methods), AI-assisted prototyping, UX research
Preferred skills
R, Python, SPSS, full-stack web development (FastAPI, React), LLM orchestration
Technologies
Generative AI, LLMs, Python, R, SPSS, FastAPI, React
Responsibilities
Translate learning theories into functional digital prototypes; execute localized research studies to evaluate tool impact; architect learning analytics frameworks to capture student engagement and trajectories; collaborate with educators to align tools with curriculum standards; design formative feedback tools; conduct User Experience Research centered on pedagogical workflows
Seniority
Entry-level to early-career (0–2 years professional experience)