Abstract This paper addresses issues in the governance of vocational education teaching quality and proposes a construction method for a governance system based on a genetic algorithm. Both domestically and internationally, research progress has shown some important advancements in the governance of vocational education teaching quality, including the design of evaluation indicator systems and governance strategies. By analyzing the current challenges and demands in vocational... This paper addresses issues in the governance of vocational education teaching quality and proposes a construction method for a governance system based on a genetic algorithm. Both domestically and internationally, research progress has shown some important advancements in the governance of vocational education teaching quality, including the design of evaluation indicator systems and governance strategies. By analyzing the current challenges and demands in vocational education teaching quality and the advantages of genetic algorithms in optimization problems, this study constructs a governance system with the genetic algorithm as its core. This system aims to optimize vocational education teaching quality, enhance educational effectiveness, and achieve these goals by establishing a rational evaluation indicator system, formulating effective governance strategies, and implementing mechanisms. Read More Read Less

Abstract This paper aims to explore the path of enhancing the competence of college counselors in student education through big data algorithms. A review of relevant research progress both domestically and internationally found that big data algorithms have great potential for application in student education in colleges and universities. Addressing the challenges faced by college counselors in improving their competence, a set of paths based... This paper aims to explore the path of enhancing the competence of college counselors in student education through big data algorithms. A review of relevant research progress both domestically and internationally found that big data algorithms have great potential for application in student education in colleges and universities. Addressing the challenges faced by college counselors in improving their competence, a set of paths based on big data algorithms is proposed, including technological, methodological, mechanistic, and algorithmic innovations. Finally, a series of experiments are designed, and the results are analyzed to validate the effectiveness of the proposed path. The research results indicate that the path of enhancing the competence of college counselors based on big data algorithms can effectively improve their student education capabilities and provide strong support for enhancing higher education quality. Read More Read Less

Abstract Online interactive teaching mode is one of the important ways for modern universities to achieve effective teaching. To enhance the reliability of the effectiveness evaluation of online interactive teaching mode, this paper constructs a college English online interactive mode effectiveness evaluation model based on big data mining algorithms. The model achieves effective data preprocessing and results inthe ranking of evaluation data based on the... Online interactive teaching mode is one of the important ways for modern universities to achieve effective teaching. To enhance the reliability of the effectiveness evaluation of online interactive teaching mode, this paper constructs a college English online interactive mode effectiveness evaluation model based on big data mining algorithms. The model achieves effective data preprocessing and results inthe ranking of evaluation data based on the teaching effectiveness evaluation system. The experimental results show that the proposed English online interactive mode effectiveness evaluation model has lower evaluation result error, better reliability, authenticity, and flexibility, and better fits the actual evaluation results of the English online interactive mode. Read More Read Less

Abstract This paper focuses on the optimization design of the green architecture landscape space environment in traditional villages using the niche genetic algorithm. The purpose is to explore how to improve traditional villages’ green architecture landscape space environment through optimization design methods. By analyzing the cultural characteristics and environmental issues of traditional villages and combining domestic and foreign research progress, a niche genetic algorithm-based optimization... This paper focuses on the optimization design of the green architecture landscape space environment in traditional villages using the niche genetic algorithm. The purpose is to explore how to improve traditional villages’ green architecture landscape space environment through optimization design methods. By analyzing the cultural characteristics and environmental issues of traditional villages and combining domestic and foreign research progress, a niche genetic algorithm-based optimization design method is proposed. Experimental results demonstrate that this method effectively enhances traditional villages’ green architecture landscape space environment, thereby improving the residents’ quality of life and environmental adaptability. This research provides a new approach and method for the sustainable development of traditional villages. Read More Read Less