Education

Ola Ozernov-Palchik

Research Assistant Professor

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Volunteer Basis, Independent Funding Available, Potential for UROP Funding, Potential for Work-Study Funding

Overview

Undergraduate Research Assistant – Evidence-Based AI in Learning (EVAL)
AI and Education Initiative, Boston University Wheelock College of Education & Human Development

We are seeking a highly motivated undergraduate research assistant to join the Evidence-Based AI in Learning (EVAL) Industry Collaborative, part of the AI and Education Initiative at Boston University. EVAL conducts rigorous, independent evaluations of AI-powered K–12 learning tools. Our team is currently conducting a randomized-controlled study of Amira Learning, an AI-based reading tutor for elementary school students.

Undergraduate research assistants will gain hands-on experience across multiple stages of the research process. Responsibilities may include:

Designing and piloting measures of student learning
Conducting literature reviews and assisting with basic statistical analyses
Scoring standardized assessments
Serving as “learning facilitators” working one-on-one with children in study sessions
Helping develop and refine assessment materials
Providing general research and project support as needed

There is an expected time commitment of 10-20 hours per week, working both in-person and remotely. For paid positions, preference will be given to students that can work between 15-20 hours weekly.

Qualifications:
Experience working with children and a strong interest in educational research are highly recommended. Ideal candidates are self-directed, dependable, willing to ask questions, and comfortable working both in-person and remotely. The role involves interacting with children in assessment contexts and engaging deeply with research design and implementation.

This position offers an exciting opportunity to work at the intersection of AI, learning sciences, and educational equity, and to contribute to real-world research that can inform how innovative technologies support K–12 learners.