Application of Student-centered Learning Approach to English Listening and Speaking Class in Vocational Schools

Student-centered learning approach is focused on the students' demands and interests.Applying student-centered approach puts forward higher requirement to English teachers.This article first analyzes the theory of student-centered learning approach and compares teacher-centered approach with it.Based on the research information and teaching experience,the author summarizes four strategies about how to apply student-centered learning approach to English listening and speaking class in vocational schools.

Fathers’Parenting Practices and the Children’s Approaches to Learning From Three Through Five Years;A Case of Mityana District,Uganda

The Approaches to Learning addresses how children learn-this includes children’s attitudes and interests in learning.This domain reflects behaviours and attitudes such as curiosity,problem-solving,maintaining attention and persistence.The research study focused on examining the fathers’parenting practices and the children’s approaches to learning from three through five years.The study used a cross sectional research design and data was generated using focal group discussions,interview guides and child behaviour rating scale on how fathers’parenting practices contribute to children’s approaches to learning.Results revealed that,Fathers’parenting practices and Children’s curiosity were found to have a very positive relationship(r=0.396,p<0.05).Fathers’parenting practices and children’s learning were found to have a significant positive relationship(r=0.420,p<0.05).Findings also indicated that fathers’parenting practices and children’s creativity were found to have an average positive relationship(r=0.379,p<0.05).Arising out of the findings,the study recommended that fathers’parenting programs be put in place to help them up bring the child in holistic manner.

Applying machine learning approaches to improving the accuracy of breast-tumour diagnosis via fine needle aspiration

Diagnosis and treatment of breast cancer have been improved during the last decade; however, breast cancer is still a leading cause of death among women in the whole world. Early detection and accurate diagnosis of this disease has been demonstrated an approach to long survival of the patients. As an attempt to develop a reliable diagnosing method for breast cancer, we integrated support vector machine (SVM), k-nearest neighbor and probabilistic neural network into a complex machine learning approach to detect malignant breast tumour through a set of indicators consisting of age and ten cellular features of fine-needle aspiration of breast which were ranked according to signal-to-noise ratio to identify determinants distinguishing benign breast tumours from malignant ones. The method turned out to significantly improve the diagnosis, with a sensitivity of 94.04%, a specificity of 97.37%, and an overall accuracy up to 96.24% when SVM was adopted with the sigmoid kernel function under 5-fold cross validation. The results suggest that SVM is a promising methodology to be further developed into a practical adjunct implement to help discerning benign and malignant breast tumours and thus reduce the incidence of misdiagnosis.

Investigating the Relationship Between Teaching Approach and Language Learning Motivation of College English Classrooms in China

The study was aimed at exploring the relationship between teaching approach and students'learning motivation.The participants were two college English teachers and their fixed group of students.The research lasted 16 weeks.The instruments used in the study were Attitude/Motivation Test Battery(AMTB) and classroom observation.Analyzing by the mean of the AM TB result,researchers got the popular tendencies of students'learning motivation level every four weeks.Comparing the change of students'learning motivation level and teacher participants'frequency of using the recommended teaching approach,this arti cle intends to achieve two purposes:1) Is students'learning motivation related to their teachers'teaching approach? 2) Among the approach recommended by literature,which works the best in the colleges in China?

The Model of Open and Distance Learning for Teaching Indonesian Through Socio-Cultural Approach and Psychological Aspects to Students of Indonesian for Foreign

This study aims to find out the effect of the model of ODL （Open and Distance Learning） for teaching Indonesian for foreign and whether this model of ODL implements socio-cultural and psychological approaches. The students＇ learning of Indonesian for foreign is in so many aspects that it must be considered from both psychological aspects of students＇ language and cultural aspects. The research was carried out on foreign students＇ studying Indonesian language. The research method used action research. ODL model developed this concerning how the students are anxious in foreign language learning and language use in accordance with Indonesian culture. The model of ODL for teaching foreign Indonesian uses the Internet facilities such as email, Skype, VolP, Google Talk, circulating document with comments, chat, forum, CD, audio-video, stream media player, and e-learning system. Based on the results of this study which is that students study the model ODL for teaching Indonesian through socio-cultural approach and psychological aspects and students of Indonesian for foreign improve their ability to use the Indonesian language, students are able to converse fluently in Indonesian in accordance with Indonesian culture

A Discussion On the Range of Meaning of English Words──An Approach to English Words Learning

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The Application of Situational Approach in Hotel English Teaching of Vocational College

This article analyses the feasibility and necessity of using situational approach in hotel English teaching,and discusses how to apply it while teaching hotel English.

Cultivation of Autonomous Learning Ability and Intercultural Communication Competence in Foreign Language Teaching

Learner Autonomy has been a hot topic in foreign language learning and teaching since 1960s,especially in relation to life-long skills.As the globalization develops,intercultural communication becomes more and more significant for college students.This essay attempts to explore main approaches to cultivate and improve students' autonomous learning ability and intercultural communication competence in foreign language teaching.

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem

The vehicle routing problem(VRP)is a typical discrete combinatorial optimization problem,and many models and algorithms have been proposed to solve the VRP and its variants.Although existing approaches have contributed significantly to the development of this field,these approaches either are limited in problem size or need manual intervention in choosing parameters.To solve these difficulties,many studies have considered learning-based optimization(LBO)algorithms to solve the VRP.This paper reviews recent advances in this field and divides relevant approaches into end-to-end approaches and step-by-step approaches.We performed a statistical analysis of the reviewed articles from various aspects and designed three experiments to evaluate the performance of four representative LBO algorithms.Finally,we conclude the applicable types of problems for different LBO algorithms and suggest directions in which researchers can improve LBO algorithms.

A Deep Learning Based Broadcast Approach for Image Semantic Communication over Fading Channels

We consider an image semantic communication system in a time-varying fading Gaussian MIMO channel,with a finite number of channel states.A deep learning-aided broadcast approach scheme is proposed to benefit the adaptive semantic transmission in terms of different channel states.We combine the classic broadcast approach with the image transformer to implement this adaptive joint source and channel coding(JSCC)scheme.Specifically,we utilize the neural network(NN)to jointly optimize the hierarchical image compression and superposition code mapping within this scheme.The learned transformers and codebooks allow recovering of the image with an adaptive quality and low error rate at the receiver side,in each channel state.The simulation results exhibit our proposed scheme can dynamically adapt the coding to the current channel state and outperform some existing intelligent schemes with the fixed coding block.

The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

As an information-rich collective, there are always some people who choose to take risks for some ulterior purpose and others are committed to finding ways to deal with database security threats. The purpose of database security research is to prevent the database from being illegally used or destroyed. This paper introduces the main literature in the field of database security research in recent years. First of all, we classify these papers, the classification criteria are the influencing factors of database security. Compared with the traditional and machine learning (ML) methods, some explanations of concepts are interspersed to make these methods easier to understand. Secondly, we find that the related research has achieved some gratifying results, but there are also some shortcomings, such as weak generalization, deviation from reality. Then, possible future work in this research is proposed. Finally, we summarize the main contribution.

Stable heat jet approach for temperature control of Fermi-Pasta-Ulam beta chain

In this paper,we propose a stable heat jet approach for accurate temperature control of the nonlinear Fermi-Pasta-Ulam beta(FPU-β)chain.First,we design a stable nonlinear boundary condition,with co-efficients determined by a machine learning technique.Its stability can be proved rigorously.Based on this stable boundary condition,we derive a two-way boundary condition complying with phonon heat source,and construct stable heat jet approach.Numerical tests illustrate the stability of the boundary condition and the effectiveness in eliminating boundary reflections.Furthermore,we extend the bound-ary condition formulation with more atoms,and train the coefficients to eliminate extreme short waves by machine learning technique.Under this extended boundary condition,the heat jet approach is effec-tive for high temperature,and may be adopted for multiscale computation of atomic motion at finite temperature.

A Research on Academic English Teaching Mode From the Perspective of CBI

Content-based instruction(CBI)effectively combines language skills with subject.According to CBI teaching concept,teachers can improve students’academic English ability by effectively designing academic English classroom activities.In this paper,the author tries to integrate the teaching idea of CBI in the course of academic English teaching,so as to cultivate students’ability to communicate in academic English.

Temporally Preserving Latent Variable Models:Offline and Online Training for Reconstruction and Interpretation of Fault Data for Gearbox Condition Monitoring

Latent variable models can effectively determine the condition of essential rotating machinery without needing labeled data.These models analyze vibration data via an unsupervised learning strategy.Temporal preservation is necessary to obtain an informative latent manifold for the fault diagnosis task.In a temporalpreserving context,two approaches exist to develop a condition-monitoring methodology:offline and online.For latent variable models,the available training modes are not different.While many traditional methods use offline training,online training can dynamically adjust the latent manifold,possibly leading to better fault signature extraction from the vibration data.This study explores online training using temporal-preserving latent variable models.Within online training,there are two main methods:one focuses on reconstructing data and the other on interpreting the data components.Both are considered to evaluate how they diagnose faults over time.Using two experimental datasets,the study confirms that models from both training modes can detect changes in machinery health and identify faults even under varying conditions.Importantly,the complementarity of offline and online models is emphasized,reassuring their versatility in fault diagnostics.Understanding the implications of the training approach and the available model formulations is crucial for further research in latent variable modelbased fault diagnostics.

Construction and Application of a Blended Online and Offline University English Course

This paper explores the design,implementation,and evaluation of the Integrated English 3 blended course,which integrates online learning through massive open online courses(MOOCs)and face-to-face classroom instruction.Guided by the production-oriented approach,the course aims to improve students’language proficiency and intercultural communication skills.It employs a variety of teaching methods,including online self-study,task-based learning,and collaborative group work,to foster student engagement and promote language output.The study highlights key elements of course construction,such as the use of MOOCs,the design of smart classrooms,and the development of a comprehensive assessment system that combines formative and summative evaluations.The results suggest that the blended teaching model enhances students’language skills while promoting critical thinking and cultural awareness.The course also emphasizes the importance of developing digital literacy among both students and teachers to effectively utilize online resources.

Analysis on the Application of Experiential Learning in Junior Middle School English Teaching

With the implementation of the New Standards for English Curriculums and the reformation of the educational system,many teachers have begun to focus on students’learning process and experience.However,the phenomenon of students’passive learning also exists.Facing such situation,it is imperative to change students’learning ways.Experiential learning,as a new way of learning has been widely recognized as an effective approach in learning.Therefore,in order to change students’learning ways,improve their comprehensive English level and learning interest,it is important for teachers to apply the experiential learn ing in English teaching,thus,improving the current situation of junior middle school English teaching.

Implementation of E-Learning System: Findings and Lessons Learned

This paper describes the implementation of the e-learning system at the School of Mathematics and Computer Science, National University of Mongolia. The paper includes in-house development of Edunet 1.0 e-learning system, comparative analysis on LMS, evaluation methodology, selection of e-learning systems, and comparative analysis on implementation of Edunet, Moodle and Canvas systems.

Study of Chunks Input Approach

This paper is to describe and investigate Chunks (Lexical Phrases ) Input Approach in vocabulary learning strategies by means of achievement tests,questionnaire surveys and interviews. The study is to reveal how different learners combine different vocabulary learning strategies in their learning process. With the data collected, the author of this paper discusses and summarizes learners' individual differences in selecting vocabulary learning strategies with the hope of giving new insights into English teaching and learning.

Service Learning at National Taipei College of Business, 2012-2013＂ New Perspectives on Community, Peer-Based Education

Service learning （also known as peer learning） has received increased attention in tertiary education. By linking learning with authentic volunteer work experience, service learning bridges the gap between theoretical study and practical reality. This practice can increase students＇ professional knowledge, educational development, self-esteem, and awareness of social responsibility. Service learning became a mandatory requirement for all students at National Taipei College of Business （NTCB; now National Taipei University of Business） in 2011, and this is the focus of this study, extending into the 2012 school year. This course-based program allows undergraduate language majors to put their language skills into practice by teaching peers, and also through other volunteer work. This program has greatly benefitted undergraduate students at the school. This study will examine course data, student reports, and interviews with student teachers. The researchers have documented the implementation of the peer-mentor program at NTCB, and the learning gains experienced among students and the professors who assisted in these processes.