Part-Time AI Education Research Assistant

The Pennsylvania State University; Ferguson Township (PA); Hybrid; USD 20,000 - 29,000; Part time

Job summary

The Pennsylvania State University in University Park is seeking a part-time research assistant to join an innovative project at the intersection of artificial intelligence and education. The RA will help develop a personalized recommendation engine for microlearning content, leveraging student performance data to tailor learning experiences.

Anticipated start date April 10; end date June 30; up to 15 hours per week; compensation $18/hour; location flexible (in-person at University Park, remote,

Qualifications

• Familiarity with artificial intelligence/machine learning techniques and data analysis.
• Experience with programming (Python or similar) and handling educational data is a plus.
• Self-motivated with good communication skills. Ability to work independently and collaboratively in an interdisciplinary team.

Responsibilities

• Data Analysis: Assist in collecting and analyzing student performance data to inform the recommendation engine.
• Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations.
• System Evaluation: Support the evaluation of the recommendation engine’s effectiveness (e.g. running experiments or user studies to assess learning outcomes).
• Documentation: Help document the system design, development process, and experimental results for project reports or publications.
• Collaboration: Work closely with the project lead and team, participating in regular meetings and brainstorming sessions.

Skills

AI/ML techniques

Data analysis

Python

Communication

Tools

Python

Job description

The Pennsylvania State University in University Park is seeking a part-time research assistant to join an innovative project at the intersection of artificial intelligence and education. The RA will help develop a personalized recommendation engine for microlearning content, leveraging student performance data to tailor learning experiences.

Anticipated start date April 10; end date June 30; up to 15 hours per week; compensation $18/hour; location flexible (in-person at University Park, remote,