A CIPP-Model Based Course Evaluation System for Landscape Engineering Construction Technology in Higher Vocational Colleges: Integration of Random Forest Algorithm and AHP

Abstract

Against the backdrop of the rapid development of higher vocational education, "Landscape Engineering Construction Technology"serves as a core professional course for landscape engineering technology majors, yet it lacks a professional evaluation system, with issues like single evaluation methods and overemphasis on results over processes, hindering teaching improvement. To address this, this study aims to construct a scientific evaluation system for this course based on the CIPP model, integrating the Analytic Hierarchy Process (AHP) and Random Forest algorithm. It adopts literature research, case analysis, and the Delphi method to screen evaluation indicators, uses AHP to determine indicator weights (all consistency ratios (CR) < 0.1), and applies the Random Forest algorithm to analyze course process data and predict learning outcomes. The results show that a multi-level evaluation index system covering curriculum construction context, input, process, and effectiveness is built; the developed high-quality online resources are used by 95 institutions, and the pre-class, in-class, post-class phased teaching enhances student engagement. This study provides new ideas for the evaluation of vocational skill courses and contributes to improving the teaching quality of higher vocational courses and cultivating professional talents.