Autonomous Learning Ability Research Articles

The Correlation between Self-directed Learning Ability and Academic Achievement in Online Education

According to the background of the widespread use of online education in colleges and universities during the epidemic period, this paper studies the relationship between many factors of autonomous learning ability and academic achievement, aiming at the phenomenon of poor online learning effect of students. Finally, combined with the analysis of data results, the relevant measures to improve autonomous learning ability of distance learners are put forward, so as to explore the ways to improve academic performance.

Exploring the influence of perceived classroom environment on learner autonomy in a Chinese EFL learning context.

Developing learner autonomy has been a critical task in English teaching that requires a clear understanding of the feature of classroom environment. This study aims to examine how senior high school students perceive classroom environment and learner autonomy, and how classroom environment exerts its influence on learner autonomy in Chinese EFL learning context. Participants (N = 565) from 15 classes located in northeast of China were selected to fill in an adapted version of What is Happening in This Class (WIHIC) and English Autonomous Learning Ability scale. Interview was conducted to confirm and illustrate the quantitative findings. The results revealed that senior high students had favorable perceptions of English classroom environment and learner autonomy. Grade differences existed in their perceptions. Moreover, we found that 53.7% of the variance in learner autonomy was accounted for by students' perceptions of English classroom environment, which indicated that English classroom environment had significantly positive effects on learner autonomy. Specifically, task orientation, student involvement, teacher support and finding references were strong predictors to learner autonomy. The possible reasons for the findings were discussed and recommendations for future research were given.

Intelligent Computer Technology-Driven Mural Pattern Recognition Method

As an important part of cultural heritage, murals reflect the economy, culture, and ideas of different historical periods and are an important basis for historical research. The lines in murals are the core elements to express the beauty of images. They have an irreplaceable special position in murals and are of great significance in the protection and restoration of murals. With the development of image recognition technology, the recognition of mural images has become a key research topic. In recent years, as a new image processing technology, deep learning based on a convolutional neural network is widely used in many fields. Using a convolutional neural network to recognize images has become a very active topic. With the continuous deepening of the number of layers of the convolutional neural network model, its autonomous learning ability of image recognition continues to improve. However, there are still some problems in the current image recognition model based on a convolutional neural network for mural images with rich structural details and complex texture and color. Therefore, according to the texture and structural characteristics of mural images, this paper uses the design idea of a convolutional neural network for reference to carry out research on mural image recognition. The improved algorithm proposed in this paper is tested on the experimental data set of mural images. The experimental results show that the improved algorithm can reduce the recognition error; enhance the edge, texture, and structure information of the reconstructed mural image; and enrich the detail information of the reconstructed mural image.

Research on the Path of College Education and Teaching Reform Driven by Artificial Intelligence

With the development of intelligent education and teaching in colleges and universities, the mixed teaching mode of online and offline has become the focus of current college education and teaching reform. From the perspective of concepts and technologies related to online teaching, as well as teachers and students involved in online teaching, there are still problems in online teaching in Chinese universities, such as insufficient interaction between teachers and students, weak autonomy of students' learning, insufficient mastery of new technologies by teachers, and imperfect online teaching platforms. The emerging information technology with AI as the core not only helps to improve the learning experience and teaching efficiency but also plays an important role in realizing personalized learning and improving students' awareness and ability of autonomous learning. This paper studies the problems existing in the online teaching process of Chinese colleges and universities and probes into the education and teaching reform path in colleges and universities based on artificial intelligence technology.

Research on the Cultivation Plan of College Students' Autonomous Learning Ability Based On Blended Teaching Mode

Research on the cultivation plan of college students' autonomous learning ability based on blended teaching mode is the main focus of this paper. Self-directed learning is actually metacognitive monitoring of learning It is a process in which students proactively adjust their learning strategies and efforts according to their own learning ability and the requirements of the learning task. The process of Self-directed learning requires individuals to have conscious awareness and response to the questions of why, whether, what, and how they learn. and how to learn. In the process of the teacher-student interaction, learning feedback and online mutual evaluation are the main ways for teachers and students to communicate. We give the new suggestions of improving the performance.

Study on Factors Affecting English Acquisition of Chinese Minority Students Majoring in Nursing in a Blended Learning Environment

Blended learning is an increasingly prevalent trend in College English acquisition. This research seeks to study the influence of a blended learning environment to English acquisition, and the differences between the high- achieving learners and the low-achieving learners for Chinese minority preparation college students in English acquisition. Eighty students were selected as the research subjects, and the research instruments included questionnaire and interview questions to collect data. The study results show that a blended learning environment, to some degree, can help learners overcome anxiety and cultivate autonomous learning abilities. In addition, high-achieving language learners are willing to ask for help from others when they encounter problems; they are able to choose their learning strategies on their own, and have the strong ability of self-learning. Keywords: Chinese students, nursing, English as a foreign language, acquisition, blended learning

Influence of Educational Informatization Based on Machine Learning on Teaching Mode

In recent years, with the rapid progress of educational information techniques, the application of computer teaching methods in school education has also shown a constantly changing trend. How to change the traditional classroom structure, improve the teachers’ information literacy, build a new information-based teaching format, and promote the integration of information technique and pedagogy have become an important topic of the current educational research study. Machine learning is a key technology in artificial intelligence and is widely used in various fields. The core of educational informatization is to carry out personalized learning, and the main auxiliary technology of personalized learning is machine learning. So, this article studied the influence of machine learning-based educational informatization on the teaching mode. Through the investigation and research methods, this article found that the educational informatization teaching mode based on machine learning is helpful to improve students’ autonomous learning ability, comprehensive ability, and learning effect. In the information-based teaching mode, the learning effect reached a maximum of about 90, with an average increase of 12, which showed that the educational information-based teaching mode based on machine learning is feasible.

An Analysis of the Innovative Model of English Course Translation Teaching in Foreign Language Listening Teaching Relying on Interactive Digital Media

Traditional single English course translation education modes can no longer stimulate students’ interest in learning and require continuous improvement in the alignment of English learning needs with individual needs. The Ministry of Education of my country has explicitly advocated a new form of education, a model of university English education (CET) based on computers and classrooms. In a networked environment, CET is constantly optimizing and adjusting the ecological balance of students, teachers, and the environment by changing the concept of education, teaching methods, and modes of education. With the rise of SPOCS, MOOCs, and mixed education, the combination of face-to-face and online learning has become an important development trend in language education. SPOCS is a new educational model based on modern educational technology, with students as the center of educational activities and the recipients of knowledge. Through the new educational mode, students can complete their education independently. This becomes part of the internalization of classroom knowledge. Therefore, the new educational mode of CET education in foreign language listening education compensates for the shortcomings of traditional educational modes and enhances the enthusiasm of students studying CET courses. To facilitate interaction and interaction between classroom education and other countries’ education system, the new educational mode enhances students’ autonomous learning abilities and effectively promotes individual learning.

Application of Deep Learning in College Physical Education Design under Flipped Classroom.

With the development of information technology, teaching reform has also undergone major changes. The traditional college physical education teaching method cannot meet the needs of the majority of students, and the physical education teaching mode continues to be reformed. Microcourse is the most intuitive form of deep integration of information technology and physical education. From the perspective of the flipped classroom (FC), the physical education model has gradually changed from teacher centered to student centered. Deep learning (DL) emphasizes that learners have the ability to actively construct knowledge, effectively transfer knowledge, and solve real problems. This design applies DL and convolutional neural network to the teaching design of physical gymnastics in colleges and universities. The application of the DL teaching model based on FC in the microcourse teaching of gymnastics in colleges and universities is studied and evaluated. The results show that the current utilization of microcourse teaching resources is too low. Interest-oriented teaching microcourses cannot improve students' interests. The proportion of students who are interested is relatively small, and more than 50% of students are not interested. Teachers generally believe that the current gymnastics microcourse needs further optimization and improvement. The poor quality of microvideos and the lack of supervision and reward mechanism in the course are the main reasons for the insufficient students' interest. The complexity of the videos and the liveliness of the discussions are the main problems of low resource utilization. The student's interest in learning is greatly improved after the application of the designed model, and the proportion increases to 82.4%. The effect on ordinary college students is the most obvious, and the effect of microvideo learning has been significantly promoted. Design mode has the most obvious improvement in improving learning efficiency and autonomous learning ability. The improvement of learning ability has increased from 18% to 72%, and the improvement of learning efficiency has increased from 39% to 82%. Meanwhile, students' interest in learning is stimulated, and the utilization of resources is improved.

Cultivation of Students’ Independent Learning Ability in Teaching Chinese as a Foreign Language Based on the CDIO Model of Guiding Data Structures and Hidden Markov Algorithms

The systematic training of metacognitive strategies in teaching Chinese as a foreign language, cultivating learners’ autonomous learning ability, and improving the effectiveness of teaching Chinese as a foreign language is of great significance for realizing the overall goal of teaching Chinese as a foreign language. Therefore, this paper designs a model based on CDIO to guide the teaching of data structures and algorithms, which emphasizes students’ hands-on ability, advocates learning in use, students’ autonomous learning, and teamwork. Taking massive online open courses(MOOC ) and small private online courses ( SPOC) learning data as a sample, hidden Markov algorithm and data mining technology are used to establish a student learning behavior evaluation model to evaluate students’ learning behavior in real-time. Meanwhile, teachers adjust the teaching content according to the evaluation results and enhance students’ learning performance and improve teaching quality.

Optimized Piano Music Education Model Based on Multimodal Information Fusion for Emotion Recognition in Multimedia Video Networks

Emotion is the important information that people transmit in the process of communication, and the change of emotional state affects people’s perception and decision-making, which introduces the emotional dimension into human-computer interaction. The modes of emotional expression include facial expressions, speech, posture, physiological signals, text, and so on. Emotion recognition is essentially a multimodal fusion problem. This paper investigates the different teaching modes of the teachers and students of our school, designs the load capacity through the K-means algorithm, builds a multimedia network sharing classroom, and creates a piano music situation to stimulate students’ learning interest, using audiovisual and other tools to mobilize students’ emotions, using multimedia guidance to extend students’ piano music knowledge, and comprehensively improve students’ aesthetic ability and autonomous learning ability. Comparing the changes of students after 3 months of teaching, the results of the study found that multimedia sharing classrooms can be up to 50% ahead of traditional teaching methods in enhancing students’ interest, and teachers’ acceptance of multimedia network sharing classrooms is also high.

Evaluation Technology of Students’ Learning Status in Chinese Classroom Based on Deep Learning

The evaluation of students’ learning status has a strong guiding role. What is taken as the evaluation standard will determine what education teaches and what students learn. As a basic subject and a lifelong art, Chinese in senior high school plays an important role in the college entrance examination; its importance can be imagined; and it has also attracted more and more attention. The assessment of students’ learning status can greatly promote students’ learning quality and values. However, the current evaluation of students’ learning status still has the score-oriented problem, and lacks enough attention to students’ interests, skills, potential, thinking, values, and other aspects, which is worrying. The function of Chinese evaluation has been narrowed to evaluate students’ knowledge and skills, and it has been euphemistically called the focus of classroom teaching. In Chinese class, the role of students’ learning status assessment has received a lot of attention, and it should play more roles in promoting students’ deep learning, so as to improve the thinking quality of learning and find appropriate learning methods. Deep learning requires students to have strong autonomous learning ability and problem-solving ability, etc. Students will benefit from developing these good habits in their future work and life.

Application of the small private online course-based blended teaching model in Human Parasitology teaching

Small private online course (SPOC), an emerging network-based, student-centered blended teaching model, combines the advantages of online teaching and flipped classroom, aiming to effectively improve students' autonomous learning ability and learning efficiency. Considering a remarkable decline in the course of Human Parasitology, we built an SPOC-based blended teaching model for Human Parasitology, covering pre-course learning, intra-course leaning, post-course consolidation and evaluation, and such a model was applied among grade 2019 students with specialty of clinical medicine. Following the application of the SPOC-based blended teaching model, most students had improvements in autonomous learning ability and activity, and understanding of human parasitology knowledge, and the examination score disparity was avoided.

Reform and Intelligent Innovation Path of College Football Teaching and Training Based on Mixed Teaching Mode

Computers and network information technology are changing our production and lifestyles and at the same time profoundly affecting the development of education. Higher education informatization focuses on the integration of information technology and higher education. It is necessary to comprehensively deepen education reform and innovate teaching methods and promote the overall improvement of education. This article aims to explore the innovative path of teaching reform based on college football training based on the current situation of college football teaching. Using literature research and questionnaire surveys, physical education teaching focuses on the unification of theory and practice. Both are indispensable. Mixed teaching is more in line with the teaching laws of physical education disciplines. It inherits the advantages of e-learning (i.e., the Internet online learning mechanism). Free from the constraints of a single online learning mode, this article designs a football training reform and innovative teaching experiment, using smart sensor technology to detect the body posture control of students participating in football teaching and training, and using questionnaires to track the nutritional adjustment of the students participating in the experiment. Through the football training scores and physical fitness index data of students in the teaching experiment, the application effect of football teaching and training reform in this research is analyzed. Experiments show that with a 95% confidence level, the football teaching and training reform program of this research can improve the football training effect of students. Colleges and universities currently pay more attention to football catching and offensive practice, especially the offensive practice accounts for 68.2%. Therefore, it has important practical value and theoretical significance to study the mixed teaching effect of using MOOC resources in football teaching. The use of blended teaching can cultivate students’ autonomous learning ability, make students transform from passive learning to active learning, stimulate students’ learning motivation, and enable students to have a strong interest in football.

Exploring the Application of Online Teaching Platform in the PBL Teaching Mode of Film and Television Courses for Teacher Trainees

The aim of the study is to deeply study the effect of the PBL teaching mode in improving students’ problem-solving ability, learning interest and autonomous learning ability. This study takes the practice teaching of film and television courses for normal students as the research object, constructs a general network teaching platform based on B/s and PBL teaching mode, deeply investigates the teaching status of film and television production practice courses, and selects the experimental class and control board to test the PBL teaching mode. The test results show that 13 students in the experimental class have a general learning attitude, 12 students have a good learning attitude, 7 students have a good learning attitude, and 5 students have a very correct learning attitude. This shows that 24 students have a positive learning attitude in the PBL teaching mode, which shows that they are very interested in learning information technology courses. At the same time, it also verifies the feasibility of the PBL teaching mode. At the same time, on this basis, this study puts forward some suggestions for the optimization of PBL teaching design under the network teaching platform.

Experimental Research on the Integration of "Internet+" into Middle School Basketball Teaching-A Case Study of the WeChat Platform

Impacted by the Coronavirus (COVID-19) pandemic at the beginning of 2020, offline collective teaching was suspended in schools. Consequently, offline physical education teaching has been resumed, after COVID-19 while spawning rapid development of online and offline "mixed" teaching. The object of this research is to examine the effect of the integration of "Internet+" into middle school basketball teaching compared to traditional basketball teaching. The methodology was to investigate the issue via the control group method. In this research, a total of 80 students from two 2020 classes (that is, where students were admitted in the year 2020) in XX Middle School were selected as the main research objects regarding the integration of WeChat into middle school basketball teaching. The 80 students were divided into an experimental group and a control group, (small classes 1 and 2 represented the experimental group and the control group, respectively). Each contained 40 students (20 male and 20 female students). The research discovered that compared with traditional basketball teaching method, the "Internet+"-based method was important in improving students' basketball learning performance. In addition, it enhanced students' interest in basketball learning, as well as to a significant extent their autonomous learning ability. However, no obvious differences were observed between the two teaching methods in increasing the frequency of when students played basketball.

College English Multimodal Teaching Based on Digital Information Technology.

In the era of in-depth application of knowledge technology in the field of education, the teaching mode combining school English teaching and network data technology is widely used in school English education. Teaching resources have become electronic resources under the influence of digital information technology. However, English teaching often ignores all aspects of English ability, so there are still shortcomings in English teaching. The role of information technology makes a single English teaching text model unable to meet the needs of scholars. In recent years, multimodal events have enriched the expression of language input and output content, which is in line with the learning needs of current students. Therefore, under the premise of digital information technology, this paper constructs a multimodal English teaching model from the aspects of multimodal English teaching resources, multimodal English teaching activities, and multimodal English teaching analysis. It aims to mobilize the enthusiasm of scholars to learn English from various aspects and build a multimodal teaching mode of English for teachers supported by digital data technology. Therefore, the experiment shows that the multimodal teaching mode of college English based on digital information technology proposed in this paper will mobilize the enthusiasm of students to learn in a comprehensive way. It greatly improves students' English performance, promotes the development of students' autonomous learning ability and comprehensive language ability, and improves the quality of English teaching by 20%.

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization

With the popularity of “flipped classrooms,” teachers pay more attention to cultivating students’ autonomous learning ability while imparting knowledge. Inspired by this, this paper proposes a Self-exploratory Competitive Swarm Optimization algorithm for Large-scale Multiobjective Optimization (SECSO). Its idea is very simple and there are no parameters that need to be adjusted. Particles evolve by exploring their neighboring space and learning from other particles in the swarm, thereby simultaneously enhancing the diversity and convergence performance of the algorithm. Compared with eight state-of-the-art large-scale multiobjective evolutionary algorithms, the proposed method exhibited outstanding performance on LSMOP problems with up to 10,000 decision variables. Unlike most existing large-scale evolutionary algorithms that usually require a large number of objective evaluations, SECSO shows the ability to find a set of well converged and diverse non-dominated solutions.

Construction of self-learning classroom history teaching mode based on human-computer interaction emotion recognition.

Due to the continuous epidemic in recent years, the traditional teaching mode of history classroom has been gradually replaced by the teaching mode of self-learning classroom. The teaching mode of autonomous learning classroom has become a popular teaching mode in recent years. However, in the autonomous learning classroom under the current history teaching mode, the lecturer cannot always pay attention to the various states of the students. It is also difficult to understand and receive the information the teacher wants to convey in real time. For this reason, human-computer interaction emotion recognition technology has been proposed and developed. In order to construct and realize the teaching mode of self-learning classroom history, this paper studies the emotion recognition technology of human-computer interaction. The research results show that the introduction of human-computer interaction emotion recognition technology into the construction of autonomous learning classroom teaching mode can fully understand students' emotional behavior. It improves the accuracy of students' emotion recognition by 2.67%, enables students to maintain a good learning motivation, and make reasonable plans and arrangements for the historical time and progress of learning. At the same time, it enhances the history teaching intensity and autonomous learning ability, and improves the original single learning mode. By establishing a new teaching-teacher-student relationship, it creates a good and active autonomous classroom atmosphere.

Analysis of the Current Situation and Driving Factors of College Students' Autonomous Learning in the Network Environment

Self-directed learning ability is the most important ability for college students to develop independent thinking and constantly master new knowledge. This paper analyzes the current situation and characteristics of college students' autonomous learning in the network environment, the status of autonomous learning resources acquisition, the status of autonomous learning attitude and the status of autonomous learning ability, and it is concluded that the factors driving autonomous learning of college students include perfect supervision mechanism, high-quality online teaching and college students. Finally, this paper puts forward some countermeasures and suggestions to promote college students' autonomous learning in terms of strengthening the construction of study style, constantly exploring new supervised learning modes, improving the quality of platform learning resources, and creating an autonomous learning atmosphere.