OBE + CIPP Based Quality Evaluation Method for College Classroom Intelligent Education System

In order to improve the operational performance of intelligent education systems in university classrooms and ensure their intelligent teaching functions, a quality evaluation method for intelligent education systems in university classrooms based on OBE + CIPP is proposed. Set quality evaluation standards for intelligent education systems in university classrooms, simulate the operation process of intelligent education systems in university classrooms, and use data mining Apriori algorithm based on association rules to obtain operational data of intelligent education systems in university classrooms. Based on the OBE + CIPP architecture, a quality evaluation model for intelligent education systems in university classrooms is constructed, which comprehensively considers factors such as teaching objectives, background environment, input resources, teaching process, and learning output, comprehensively evaluates all aspects of the education system, more accurately understands the quality of the entire teaching process, pays more attention to students' learning outcomes and ability improvement, as well as the design of teaching activities and environmental support in the teaching process. Under the constraints of OBE + CIPP architecture principles, select system quality evaluation indicators from aspects such as background, input, process, and results, and calculate the weight of evaluation indicators. Based on the results of system operation data collection, evaluation indicators are determined, and compared with the set evaluation standards, the system quality evaluation results are obtained to comprehensively and accurately evaluate and optimize teaching quality, providing meaningful contributions to higher education. The experimental results show that the educational function and operational performance of the proposed method have been improved.