Learning Analytics

Applicants will be considered based on their knowledge, skills or abilities related to project needs. Specifically, applicants should: MS or PhD candidates preferred. BS students with strong data analytics or research experience may be considered. Required Experience: Coursework or experience in data analytics, research methods, program evaluation, or related field Ability to analyze and synthesize information from multiple data sources Strong written communication and reporting skills Experience organizing and assessing data quality and processes Preferred (not required): Familiarity with training evaluation frameworks (e.g., Kirkpatrick Model, ROI methodology) Experience with LMS data or survey analysis Basic knowledge of data visualization or reporting tools Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support real Federal missions, gaining hands-on experience and valuable career-ready skills. The government-wide "Semester of Service" Student Volunteer Program enables Federal agencies to engage students in unpaid, project-based assignments of limited duration aligning with each agency's strategic priorities.

• Work Schedule and Flexibilities: Student hours: 8-20 hours per week, part-time Total duration: Minimum 90-days, aligned with academic term calendars Remote (100% work off site) Number of Positions: 1 Preferred Term(s): Fall 2026 This vacancy will be open until Wednesday, July 15th at 11:59pm ET or until 25 applications have been received. The vacancy will close on whichever day the first of these conditions are met. If the application limit is reached on the same day the announcement opened, the open and close date will be the same. Candidates are encouraged to read the entire announcement before submitting their application packages. The Office of Employee Development (OED) seeks a student volunteer to conduct a Learning Analytics Maturity Scan to assess the current state of evaluation practices and reporting capabilities across programs. This project addresses a short-term capacity gap during organizational realignment by providing a clear, evidence-based understanding of what data exists, how it is used, and where gaps limit decision-making. The student will review existing data sources, current evaluation practices, and reporting workflows to assess alignment with established frameworks such as the Kirkpatrick Model and ROI-based evaluation principles. The student will identify strengths, gaps, and inconsistencies in how training effectiveness is measured and reported across OED. Using a structured diagnostic approach, the student will develop a maturity model (e.g., foundational ? developing ? defined ? optimized) and assess OED's current state across key domains such as data quality, integration, governance, and use of evaluation analytics for decision-making. The final product will provide actionable recommendations to improve data reliability, evaluation reporting consistency, and alignment to organizational priorities. Deliverables: Learning Evaluation Maturity Assessment (current state across defined domains) Data source inventory and evaluation practice review Gap analysis identifying key risks and limitations Maturity model framework with defined levels and criteria Executive summary with prioritized recommendations for improvement The government-wide "Semester of Service" Student Volunteer Program, as authorized under 5 U.S.C §31114 and 5 CFR Part 3085, enables Federal agencies to engage students in unpaid, project-based assignments of limited duration. These assignments are designed to align with each agency's strategic priorities, offering participants practical experience within Federal operations while supporting the advancement of targeted initiatives.