Wilkes University, in collaboration with Production Systems Automation (PSA) and regional high schools, has developed EXPLOR-NEPA: Experiential Learning for Artificial-Intelligence-Driven Robotics in Northeast Pennsylvania under the NSF ExLENT Explorations Track. This initiative aims to create a sustainable, experiential learning pipeline that prepares high school students for academic and career pathways in emerging fields of artificial intelligence (AI), robotics, and automation.
The program implements a three-phase, cohort-based experiential framework: (1) high-school robotics clubs emphasizing game-based AI learning and teamwork, (2) dual-enrollment coursework and industry mentorship through Wilkes University’s SPARK Scholars program, and (3) a Summer Robotics Lab and Scholar Program providing extended mentorship, job shadowing, and career development. Each phase integrates hands-on learning, industry-aligned problem solving, and structured mentorship, following the National Society for Experiential Education (NSEE) principles.
During the first implementation year, over 100 students participated in robotics club activities and dual-enrollment experiences that introduced AI programming, machine learning, and automation concepts. Early feedback indicates increased student interest in AI-driven technologies and improved problem-solving confidence. The program’s ongoing evaluation, led by an external research and evaluation team, uses mixed methods (pre/post surveys, focus groups, and performance assessments) to track learning gains, retention, and college enrollment in STEM programs.
This work in progress highlights lessons learned from integrating AI-driven robotics into pre-college experiential learning, the effectiveness of academic–industry partnerships in building workforce readiness, and strategies for scaling the model across regional schools. The project’s long-term goal is to establish a replicable framework for AI and robotics education that advances inclusive access to high-growth STEM careers, strengthens the regional workforce, and contributes to national models of experiential engineering education.
The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026