A Study On College Students’ English Learning Adaptation With The Aupport Of Artificial Intelligence

Learning adaptability is one of the important indicators to measure students’ learning effect and good learning adaptability is the key to ensure students’ learning quality.Learning maladaptation not only affects the learning effect of students,but also affects the effectiveness of artificial intelligence in English learning.Although some studies have found that there is a certain degree of learning maladaptability in the practice of English teaching supported by artificial intelligence,most of the studies only describe the phenomenon and do not further explore the causes of learning maladaptability.Research based on artificial intelligence support,therefore,college students’ English learning adaptability under investigation and analysis,understand the current artificial intelligence support level of college students’ English learning adaptability under the status quo,and sort out all the factors influence on learning adaptability effect,and the relationship between learning adaptability and the various factors,put forward the strategies of the promote students learning adaptability.The research is a new exploration of learning adaptability in the field of artificial intelligence English learning,and it is also an extension of the research environment of learning adaptability in information-based learning and a supplement of the research results.It is of certain theoretical significance and practical value to sort out the composition structure of college students’ English learning adaptability under the support of artificial intelligence and construct the influencing factor model of college students’ English learning adaptability under the support of artificial intelligence,so as to provide theoretical support for effectively promoting the improvement of students’ intelligent learning adaptability.Firstly,the study analyzes the composition of learning adaptability in the study of the Learning Adaptability Scale.Combined with the autonomy and interaction of artificial intelligence to support English learning,and the constructivist learning theory,It is determined that college students’ English learning adaptability with the support of artificial intelligence mainly consists of five aspects: learning attitude adaptation,autonomous learning ability adaptation,learning interaction adaptation,learning environment adaptation and physical and mental health adaptation.Secondly,the main factors affecting learning adaptability in general learning environments and information-based learning environments are analyzed,and the importance of intelligent literacy in intelligent environments,the current situation of artificial intelligence supporting English learning and Bandura’s social learning theory are combined.The influencing factors of college students’ English learning adaptability with the support of artificial intelligence include learning motivation,intelligence literacy,self-learning efficacy,teacher support and resource platform.On this basis,the questionnaire of English learning adaptability of college students supported by artificial intelligence is compiled,and the influencing factors model of English learning adaptability of college students supported by artificial intelligence is constructed.The following conclusions are drawn from the analysis: the overall English learning adaptability of college students with the support of artificial intelligence is at an intermediate level(M=3.382),and the learning adaptability of English majors is significantly higher than that of non-English majors,with no significant differences in gender,grade and professional background.The hypothesis model of influence factors is verified by the method of structural equation.The results show that learning motivation,intelligence literacy,learning self-efficacy,and resource platform all have significant direct and positive effects on learning adaptability,and the research hypothesis is verified.Moreover,the influencing factors have direct or indirect effects on learning adaptability.In general,the specific effects of each influencing factor on learning adaptability from high to low are: intelligence literacy(0.401),resource platform(0.280),learning self-efficacy(0.237),learning motivation(0.228),and teacher support(0.163).No matter the direct effect effect or the total effect effect,the effect value of intelligence literacy on learning adaptability is high.According to the survey,finally,the research on college students’ English learning adaptability under artificial intelligence support ascension,put forward from the individual level improve autonomous learning ability and intelligence quality,actively adapt to the intelligent education and teachers’ level of students’ individualized teaching intervention,and resource level resource optimization and follow the principle of "moderate" is put forward.