Abstract Education is an important component of the education system for college students and a key link in cultivating core socialist values. Under the influence of Internet applications, college students are more susceptible to various ideological and value influences. Colleges and universities continuously innovate and reform the ideological and political education model to strengthen students’ education. However, traditional evaluation methods cannot comprehensively and effectively assess... Education is an important component of the education system for college students and a key link in cultivating core socialist values. Under the influence of Internet applications, college students are more susceptible to various ideological and value influences. Colleges and universities continuously innovate and reform the ideological and political education model to strengthen students’ education. However, traditional evaluation methods cannot comprehensively and effectively assess the effectiveness of new educational models. Therefore, this paper constructs a college counselor network ideological and political education evaluation model based on the BP neural network and introduces the GA algorithm to optimize the model. Experimental results show that the model has good performance stability, with a small error between educational and actual results, and can derive a scientific evaluation grade based on the results. Read More Read Less

Abstract With the continuous advancement of modern technology, various information technologies have gradually matured and been applied in education. The design of English-speaking teaching in vocational colleges has been a hot topic of concern for many researchers, and the actual situation of students learning English speaking is also a major concern for educators. Up-to-date educational methods and diverse teaching approaches have revitalised English-speaking classrooms in... With the continuous advancement of modern technology, various information technologies have gradually matured and been applied in education. The design of English-speaking teaching in vocational colleges has been a hot topic of concern for many researchers, and the actual situation of students learning English speaking is also a major concern for educators. Up-to-date educational methods and diverse teaching approaches have revitalised English-speaking classrooms in ordinary colleges. This paper uses the decision tree algorithm in deep learning to analyse vocational college students’ English-speaking proficiency in-depth and establish a predictive system for speaking learning effectiveness. Data analysis evaluates students’ English-speaking abilities and levels, measuring changes in English-speaking effectiveness and providing reliable factors for actual learning situations. The association algorithm is used to optimize the decision tree predictive performance, predicting the English-speaking proficiency of vocational college students and providing assistance for subsequent teaching. The research shows that the decision tree algorithm achieves high accuracy in the statistical and predictive analysis of vocational college students’ English-speaking proficiency, which greatly promotes the optimization of teaching strategies and methods. Read More Read Less

Abstract Research in contemporary times is undergoing a paradigm shift, paving the way for Interdisciplinary and Multidisciplinary approaches. Re-presenting is the need of the hour, and re-searching it in contemporary Research. Reading has become an ever-ending as the world progresses by leaps and bounds. Research has become an everyday phenomenon in academic pursuits and blurs personal and political lines. Fabrication or Manipulation of data is... Research in contemporary times is undergoing a paradigm shift, paving the way for Interdisciplinary and Multidisciplinary approaches. Re-presenting is the need of the hour, and re-searching it in contemporary Research. Reading has become an ever-ending as the world progresses by leaps and bounds. Research has become an everyday phenomenon in academic pursuits and blurs personal and political lines. Fabrication or Manipulation of data is against research ethics, and the most painful thing is that academia in contemporary times is flooded with data fabrication through AI. The usage of AI is becoming an impeccable phenomenon in academic discourses, even though it has pros and cons. However, regarding Research, the original output needs to be validated. Making the unknown known is the prime aim of Empirical Research, but the saddest truth is that after the advent of AI, academia is making the unknown known, which the researcher does not know. This research article mainly dwells on the nuances of AI applications, how they affect research integrity and their impact on Research and development. Read More Read Less

Abstract This paper proposes data mining base devaluation system for assessing innovation and entrepreneur ship skills among students in private colleges. By leveraging advanced digital technologies, we can reshape traditional evaluation systems to reflect a company’s innovation and development better. We will collect substantial literature and organize it in to a comprehensive set of indicators. After meticulous expert reviews, we will establish a refined, scientific,... This paper proposes data mining base devaluation system for assessing innovation and entrepreneur ship skills among students in private colleges. By leveraging advanced digital technologies, we can reshape traditional evaluation systems to reflect a company’s innovation and development better. We will collect substantial literature and organize it in to a comprehensive set of indicators. After meticulous expert reviews, we will establish a refined, scientific, objective, and accurate system for evaluating skill levels. Through this experiment, we have found that this system significantly enhances the precision and reliability of the indicators and better showcases a company’s innovation and development potential compared to previous methods. Read More Read Less