Development of Itinerary Recommendation System for Educational Field Trips in Secondary Schools

In the past, large-scale school trips were mainly conducted with standardized schedules, resulting in limited educational impact and making it difficult to reflect students' interests.In response, modern education is increasingly adopting small-scale, theme-based school trips that consider students' interests, academic levels, and career paths.This approach, organized at the class level, focuses on customized experiential programs that enhance autonomy, satisfaction, identity formation, and career exploration.However, a major drawback is that teachers must manage the planning, including theme selection, site arrangements, and schedule coordination, which places a heavy operational burden.To address this issue, we designed EduTrip, a school trip itinerary recommendation system.This system allows users to input conditions such as travel themes, types of activities, group size, budget, and preferred destinations.It then automatically filters appropriate locations and activities, and uses clustering and genetic algorithm-based optimization to generate practical and efficient schedules that account for travel and stay durations.The goal is to reduce the teachers' workload and provide students with more personalized and feasible educational travel experiences.