Research on the Optimization Path of College Counselor Team Construction in the New Era

In the new era,the team of college counselors,as an indispensable and important component of the higher education system,bears multiple responsibilities such as ideological and political education,daily student management,mental health counseling,and employment and entrepreneurship guidance.With the rapid development of society and the diversified transformation of student groups,the construction of the counselor team is facing new challenges and opportunities.In-depth research on the optimization path of the construction of the college counselor team is not only significant for improving the overall quality and work efficiency of the counselor team but also directly related to the completion effect of the fundamental task of cultivating morality and talents in colleges and universities,as well as the achievement of the goal of cultivating more high-quality talents for the country.Based on this and the author’s work experience,this paper first elaborates on the necessity of the construction of the college counselor team,and then conducts a deep analysis of its optimization path and strategy,aiming to provide a useful reference for the professionalization and professional development of the college counselor team,thereby promoting the sustainable development of higher education and the comprehensive growth of students.

The Construction and Application of Digital Resources in Rural Primary School English Teaching and Learning

To arouse rural primary school students’ English learning interest, broaden their horizon and promote their critical thinking, we construct a series of dig-ital education resources which include not only language points of phonetics, vocabulary, language skills of English teaching and learning but western and Chinese cultures. The results show teachers and students’ roles and discourse power changed by using the digital education resources in the process of rural primary school English teaching and learning.

The Construction of Learning Object： Tools for the Teaching

The main objective of this work was the construction of a Multidisciplinary Learning Object as a tool for teaching, enabling the use of information and communication technologies for use by teachers acting in elementary school, based on Discourse Analysis, Theory Cybernetic-systemic, the Multiple Intelligences and Collaborative Learning. All of them are informed by Foucault, Pecheux, Bakhtin, Gardner, Levy, and others. The theoretical contribution is justified to the extent that the student is above all a being inserted into a user company tool created by it over time, to act on the world. Theoretical principles underlying the construction of learning objects as tools for teaching are related to teaching and learning. The developed learning object establishes the link between the fields of pedagogy and usability, the step by step construction of each of them and their purposes, characteristics, and all detailed in the development of research. The construction of the learning object follows the steps of a methodological construction for the development of a computerized product, followed by a systematic planning and the design and construction.

Research on the Construction of a Fully-participatory Extracurricular Learning Platform with Multiple Linkage Effects

In the existing research at home and abroad,the construction of extracurricular learning platform is still only focused on solving the problems of curriculum learning itself.At the same time,there are no cases of multiple linkage effects,including integrating alumni resources,promoting the construction of alumni association,promoting students'internship and employment,strengthening ties with enterprises and so on.On the basis of the original function of the alumni management system,this paper expands the sections and adds the main body of students to enrich the functions of the platform.This paper constructs a fully-participatory extracurricular learning platform with multiple linkage effect,which provides a reference for other majors inside and outside the school to establish extracurricular learning platform.

The Enlightenment of Cooper’s Learning Circle Theory to the Construction of College Student Team

At the present stage of development,colleges and universities in the training of students and management of student team construction there are some problems,although many colleges and universities to take the corresponding management plan,effectively improve the quality of students,but educators still need to face how to cultivate a mature student team in a short time.In this regard,combining Dewey’s“experiential learning”and Cooper’s experiential learning theory,the paper applies experiential learning theory and practice to the training of college student team construction,aiming at improving the overall quality of the student team effectively,so as to promote the comprehensive development of students.

Research on the Reform of the Course“Reading of Concrete Structure Plan and Construction Drawings”Under the Background of“Promoting Teaching and Learning Through Competitions”

The inherent teaching approach can no longer meet the demands of society.In this paper,current issues within the teaching landscape of architectural engineering technology in higher vocational colleges as well as the policies and teaching demands that formed the basis of this model were analyzed.The study shows the importance of the implementation of the teaching model“promoting teaching and learning through competitions.”This model puts emphasis on the curriculum and teaching resources,while also integrating the teaching process and evaluation with competition.These efforts aim to drive education reform in order to better align with the objectives of vocational education personnel training,while also acting as a reference for similar courses.

Exploration and Practice of “Construction Engineering Regulations” Course Reform

Based on the analysis of the existing teaching situation of the“Construction Engineering Regulations”course,this paper divides the course content into three parts according to the course characteristics and content,and explores three corresponding teaching modes.The proportion of student-led relationships in the three teaching modes is 80%,60%,and 90%,respectively,realizing a teaching mechanism centered on students and stimulating students’interest in independent learning.Teaching methods such as problem-oriented learning,group discussion,student reporting,MOOC(massive open online course),case analysis,etc.,have been used to establish a variety of comprehensive examination mechanisms such as quiz games,follow-up tests,and work displays.Practice has shown that after adopting these three teaching modes,classroom teaching efficiency has significantly improved,and students’abilities in exploration,expression,innovation,and team cooperation have also been enhanced.

Creative Imitation: An Answer to the Fundamental Issue of L2 Learning

This paper reports on a study on the effects of reading-writing integrated tasks on vocabulary learning and explored the differential roles of creative construction and non-creative construction in promoting lexical learning. Participants were 90 first-year English majors, randomly assigned to two experimental groups(continuation and retelling) and one control group, with 30 students in each group. Results showed that the continuation group generated a substantial amount of creative construction and produced significantly more instances of creative imitation than the retelling group. The continuation group outperformed the retelling group for both receptive and productive vocabulary knowledge gain and retention, but differences were only significant in terms of productive vocabulary retention. Finally, productive vocabulary knowledge retention among the continuation group was significantly and positively correlated with creative imitation(meaning creation coupled with language imitation), but not with linguistic alignment per se. As productive vocabulary knowledge constitutes the learner ’s ability to use lexical knowledge to express ideas in dynamic contexts, the findings afforded evidence that creative imitation could be the answer to the fundamental issue of L2 learning(i.e., mapping static language onto dynamic idea expression). The pedagogical implications as well as future research directions are also discussed.

The pioneer of intelligent construction—An overview of the development of intelligent compaction

As the pioneer in the intelligent construction technologies(ICT)of transportation infrastructure,intelligent compaction(IC)has been applied in the infrastructure construction of various countries.It is currently the technology that best reflects the intelligence of engineering construction.This article overviews the latest developments and trends in IC.Firstly,the basic meaning of ICT is defined based on the essential characteristics of intelligent construction of transportation infrastructure,“perception,analysis,decision-making,execution”(PADE).The concept of intelligent compaction technology classification is also introduced.The PADE requirements that intelligent compaction should meet are proposed.Secondly,according to the sequence of“perception,analysis,decision-making,execution,”the workflow and key technologies of intelligent compaction are analyzed,and the mechanism of using the response of the roller to solve the modulus is given and verified.On this basis,The IC feasibility test methods,including compaction degree,compaction stability,and compaction uniformity,are briefly described.The implementation scheme of feedback control is given.Then,the use of artificial neural networks(ANN),hybrid expert systems,and reinforcement learning in intelligent compaction are briefly introduced.Finally,several extended applications of intelligent compaction are expounded,including the development ideas of intelligent road rollers and the role of intelligent compaction in virtual construction,the layer-specific mechanical parameters of fillers,etc.

Automatic Recognition of Construction Worker Activities Using Deep Learning Approaches and Wearable Inertial Sensors

The automated evaluation and analysis of employee behavior in an Industry 4.0-compliant manufacturingfirm are vital for the rapid and accurate diagnosis of work performance,particularly during the training of a new worker.Various techniques for identifying and detecting worker performance in industrial applications are based on computer vision techniques.Despite widespread com-puter vision-based approaches,it is challenging to develop technologies that assist the automated monitoring of worker actions at external working sites where cam-era deployment is problematic.Through the use of wearable inertial sensors,we propose a deep learning method for automatically recognizing the activities of construction workers.The suggested method incorporates a convolutional neural network,residual connection blocks,and multi-branch aggregate transformation modules for high-performance recognition of complicated activities such as con-struction worker tasks.The proposed approach has been evaluated using standard performance measures,such as precision,F1-score,and AUC,using a publicly available benchmark dataset known as VTT-ConIoT,which contains genuine con-struction work activities.In addition,standard deep learning models(CNNs,RNNs,and hybrid models)were developed in different empirical circumstances to compare them to the proposed model.With an average accuracy of 99.71%and an average F1-score of 99.71%,the experimentalfindings revealed that the suggested model could accurately recognize the actions of construction workers.Furthermore,we examined the impact of window size and sensor position on the identification efficiency of the proposed method.

The Effectiveness of Using Constructive Learning Strategies in Teaching English Language on Developing the Achievement of Grammar, Translation, and Critical Thinking Skills for the Third Grade Intermediate Students

The study aimed to reveal the effectiveness of the integration between some constructive learning strategies in teaching a unit of the English language course to collect translation skills, using grammar, and the acquisition of critical thinking skills for intermediate third grade students in Mecca. Also, it aimed to acknowledge the statistical differences between the modified averages for the study sample groups degrees in the dimensional collecting of grammar and translation skills at the knowledge of the grammar level and using it, and at the macro level for collecting translation and grammar skills after adjusting the old collecting, as well as the knowledge of the statistical differences between the modified averages for the study sample groups in the total telemetric for the critical thinking skills after adjusting the old collecting. To achieve the study objectives, the researcher used the semi-experimental method that had several experimental groups （four groups）, and applied it to a sample of intermediate third-grade students in the city of Makkah （99 students） in teaching the unit of the English language course, which is （Healthy Eating） in the second semester in 2011/2012. After using the appropriate statistical methods, the study came to a result that there are no statistically significant differences in the old implementation for the test of skills of academic achievement of grammar, translation, and critical thinking skills, and that there are statistically significant differences in the new implementation due to the four strategies. According to the results of the study, the researcher recommended a number of recommendations including： the necessity to focus on the constructive theory in teaching English language skills, the importance of expanding the use of the suggested integrative oriented and its development in the field of English language teaching, to hold an intensive training courses for teachers of the English language to train them on using the suggested integrative strategy, the emphasis on the importance of the curriculum activities which focus on the integration between the constructive learning strategies, the importance of expanding of scientific research in the field of integrative strategies, and the development of synthesis methods that combine two strategies or more.

On the Construction and Development of Strategies to Stimulate Learners＇ Motivation Concept and Evaluation Model

This paper starts from the theoretical basis of constructivism and development evaluation study that learns the principles of communication, the use of educational psychology and other disciplines of knowledge. It is to build a developmental evaluation and characteristics for the idea to the attention of the relevant confidence to meet and the evaluator＇ s expectations as of the five elements to stimulate learning motivation, build developmental evaluation principles to stimulate learning motivation of process model. Seven strategies are to stimulate and sustain the motivation of college students, while emphasizing mentor in the process of converting role as learner and developmental evaluation. Related strategies are used in the actual teaching of ＂Mechanical Engineering Materials＂ , ＂Graduation Design＂ , ＂Engineer Training＂ course, and it achieved satisfactory teaching effect, playing a role in promoting real learning and comprehensive evaluation of the development of college students.

Building a Model for Teaching Korean in Universities under the Vision of Experiential Learning

The rapid development of the economy and the continuous improvement of the education system made the state begin to pay more attention to the talents in the education sector,especially in the context of the development of economic globalization,the demand for talents in foreign languages is increasing.China and South Korea are closely connected,so the demand for Korean language talents in our country is increasing,and many universities have established Korean language majors,and is constantly exploring teaching models and methods to enhance Korean language teaching,among which,experiential teaching being the university’s Korean language teaching is the important ways and means.This paper mainly analyzes the construction of the model of Korean language teaching in universities under experiential learning.

Deformation,structure and potential hazard of a landslide based on InSAR in Banbar county,Xizang(Tibet)

The Tibetan Plateau is characterized by complex geological conditions and a relatively fragile ecological environment.In recent years,there has been continuous development and increased human activity in the Tibetan Plateau region,leading to a rising risk of landslides.The landslide in Banbar County,Xizang(Tibet),have been perturbed by ongoing disturbances from human engineering activities,making it susceptible to instability and displaying distinct features.In this study,small baseline subset synthetic aperture radar interferometry(SBAS-InSAR)technology is used to obtain the Line of Sight(LOS)deformation velocity field in the study area,and then the slope-orientation deformation field of the landslide is obtained according to the spatial geometric relationship between the satellite’s LOS direction and the landslide.Subsequently,the landslide thickness is inverted by applying the mass conservation criterion.The results show that the movement area of the landslide is about 6.57×10^(4)m^(2),and the landslide volume is about 1.45×10^(6)m^(3).The maximum estimated thickness and average thickness of the landslide are 39 m and 22 m,respectively.The thickness estimation results align with the findings from on-site investigation,indicating the applicability of this method to large-scale earth slides.The deformation rate of the landslide exhibits a notable correlation with temperature variations,with rainfall playing a supportive role in the deformation process and displaying a certain lag.Human activities exert the most substantial influence on the spatial heterogeneity of landslide deformation,leading to the direct impact of several prominent deformation areas due to human interventions.Simultaneously,utilizing the long short-term memory(LSTM)model to predict landslide displacement,and the forecast results demonstrate the effectiveness of the LSTM model in predicting landslides that are in a continuous development and movement phase.The landslide is still active,and based on the spatial heterogeneity of landslide deformation,new recommendations have been proposed for the future management of the landslide in order to mitigate potential hazards associated with landslide instability.

Machine learning-based automatic control of tunneling posture of shield machine

For a tunnel driven by a shield machine,the posture of the driving machine is essential to the construction quality and environmental impact.However,the machine posture is controlled by the experienced driver of shield machine by setting hundreds of tunneling parameters empirically.Machine learning(ML)algorithm is an alternative method that can let the computer to learn from the driver’s operation and try to model the relationship between parameters automatically.Thus,in this paper,three ML algorithms,i.e.multi-layer perception(MLP),support vector machine(SVM)and gradient boosting regression(GBR),are improved by genetic algorithm(GA)and principal component analysis(PCA)to predict the tunneling posture of the shield machine.A set of the parameters for shield tunneling is extracted from the construction site of a Shanghai metro.In total,53,785 pairwise data points are collected for about 373 d and the ratio between training set,validation set and test set is 3:1:1.Each pairwise data point includes 83 types of parameters covering the shield posture,construction parameters,and soil stratum properties at the same time.The test results show that the averaged R2 of MLP,SVM and GBR based models are 0.942,0.935 and 0.6,respectively.Then the automatic control for the posture of shield tunnel is illustrated with an application example of the proposed models.The proposed method is proved to be helpful in controlling the construction quality with optimized construction parameters.

Comparison of machine learning methods for ground settlement prediction with different tunneling datasets

This study integrates different machine learning(ML) methods and 5-fold cross-validation(CV) method to estimate the ground maximal surface settlement(MSS) induced by tunneling.We further investigate the applicability of artificial intelligent(AI) based prediction through a comparative study of two tunnelling datasets with different sizes and features.Four different ML approaches,including support vector machine(SVM),random forest(RF),back-propagation neural network(BPNN),and deep neural network(DNN),are utilized.Two techniques,i.e.particle swarm optimization(PSO) and grid search(GS)methods,are adopted for hyperparameter optimization.To assess the reliability and efficiency of the predictions,three performance evaluation indicators,including the mean absolute error(MAE),root mean square error(RMSE),and Pearson correlation coefficient(R),are calculated.Our results indicate that proposed models can accurately and efficiently predict the settlement,while the RF model outperforms the other three methods on both datasets.The difference in model performance on two datasets(Datasets A and B) reveals the importance of data quality and quantity.Sensitivity analysis indicates that Dataset A is more significantly affected by geological conditions,while geometric characteristics play a more dominant role on Dataset B.

L2 Syntactic Alignment in the Reading-Writing Integrated Continuation Task: Evidence From Chinese EFL Learners’ Description of Motion Events

This study investigated how the mode in which the reading-writing integrated continuation task was conducted modulates the effects of second language(L2) syntactic alignment, through the English motion event construction with manner verbs. Ninety Chinese students were assigned to either of the two experimental groups or a control group, and they all experienced a pretest, an alignment phase and a posttest. In the alignment phase, the two experimental groups completed a reading-writing integrated continuation task but in different modes. For the multi-turn mode,participants reconstructed a picture story by continuing the episodes extracted from the story with one episode presented and continued at a time;for the single-turn mode, the first half of the same picture story was presented as a chunk, and then participants read and continued it. Results show that L2 learners aligned with the target structure in completing the story, and the alignment effect was retained in the posttest conducted after a delay of two weeks. Moreover, syntactic alignment was modulated by task mode with the multi-turn group exhibiting stronger immediate and longterm alignment effects. We conclude that the continuation task is a fruitful context for L2 structural alignment, and the magnitude of alignment effect hinges on interactive intensity.

Task Offloading and Resource Allocation for Edge-Enabled Mobile Learning

Mobile learning has evolved into a new format of education based on communication and computer technology that is favored by an increasing number of learning users thanks to the development of wireless communication networks,mobile edge computing,artificial intelligence,and mobile devices.However,due to the constrained data processing capacity of mobile devices,efficient and effective interactive mobile learning is a challenge.Therefore,for mobile learning,we propose a"Cloud,Edge and End"fusion system architecture.Through task offloading and resource allocation for edge-enabled mobile learning to reduce the time and energy consumption of user equipment.Then,we present the proposed solutions that uses the minimum cost maximum flow(MCMF)algorithm to deal with the offloading problem and the deep Q network(DQN)algorithm to deal with the resource allocation problem respectively.Finally,the performance evaluation shows that the proposed offloading and resource allocation scheme can improve system performance,save energy,and satisfy the needs of learning users.

Assessing Student Learning Using the Constructor Qualification Examination in US Accredited Programs

Today, construction management programs face growing academic accountability resulting in the need to define new program outcomes to measure student learning. In most cases, student learning is analyzed only within the context of an academic program using survey methods which do not accurately quantify overall student learning. Contrary to this condition, construction management programs increasingly require students to take level lofthe nationally administered CQE （constructor qualification exam） upon graduation. However, little or no analysis of this data is conducted beyond basic interpretation of the national and program averages provided by the testing agency. Providing a statistical approach to analyze this data and to propose recommended strategies for its improvement, this research develops and investigates statistical methods to analyze the national test data as a program assessment tool for student learning. Specifically, this work seeks to develop performance standards and expectations for students when taking the CQE exam, to define correlations between student GPA （grade point average） and student performance on the CQE exam. Likewise, this work presents methods to identify program weakness and strategies for improvement by comparing the CQE Level 1 exam with ACCE （American council for construction education） accreditation standards.