Cultivation of Business Students Under the Background of Ideological and Political Education:Optimization Strategies for Project-based Learning

The paper explores the strategy of optimizing the cultivation of new business-applied talents through project-based teaching innovation under the background of curriculum ideological and political education.The paper emphasizes that the core socialist values should be integrated into business education.Improving students’moral literacy and social responsibility is an important goal of cultivating new business talents.The study pointed out that in the process of project-based learning,innovative methods such as virtual reality technology,cross-cultural cooperation and diversified evaluation systems can effectively cultivate applied talents that meet the development needs of the new era.The paper also proposed specific strategies in the project implementation and reflection links to promote students’self-reflection and internalization of values.

PBL(Project-Based Learning)理念融入高职劳动教育的价值意蕴与实践路径

劳动是人维持自我生存和自我发展的唯一手段,劳动教育是推进立德树人根本任务及提升人才培养质量的重要载体。然而教材体系不够成熟、课程体系不够健全、评价体系不够完善是当前高职劳动教育存在的突出问题。将PBL(Pro-ject-Based Learning)项目式教学理念融入劳动教育,契合高职人才培养目标,有助于提高师生参与的积极性,促进劳动教育效果提升。对此,在推进PBL教学理念融入劳动教育教学过程中,加强顶层设计明确目标,聚焦职教特色融通资源,项目驱动理实教育一体化,量身定制项目化测评体系,切实培养好学生的劳动意识、劳动思维、劳动能力。

Slope displacement prediction based on multisource domain transfer learning for insufficient sample data

Accurate displacement prediction is critical for the early warning of landslides.The complexity of the coupling relationship between multiple influencing factors and displacement makes the accurate prediction of displacement difficult.Moreover,in engineering practice,insufficient monitoring data limit the performance of prediction models.To alleviate this problem,a displacement prediction method based on multisource domain transfer learning,which helps accurately predict data in the target domain through the knowledge of one or more source domains,is proposed.First,an optimized variational mode decomposition model based on the minimum sample entropy is used to decompose the cumulative displacement into the trend,periodic,and stochastic components.The trend component is predicted by an autoregressive model,and the periodic component is predicted by the long short-term memory.For the stochastic component,because it is affected by uncertainties,it is predicted by a combination of a Wasserstein generative adversarial network and multisource domain transfer learning for improved prediction accuracy.Considering a real mine slope as a case study,the proposed prediction method was validated.Therefore,this study provides new insights that can be applied to scenarios lacking sample data.

Project-based Language Learning: an Activity Theory Analysis in SOE Language Learning

This study focuses on the effectiveness of the project-based language learning(PBLL) in a college Secretarial Oral English(SOE) Module. Student reflections of the language project work have been analyzed through Activity Theory. Moreover,Data has been collected and categorized based on the components of complex human activity: the subject, object, tools(signs,symbols, and language), the community in which the activity take place, division of labor, and rules. The findings theoretically support the outcome of project-based language learning which align with the object of the activity.

Alternative Assessment in an EFL Project-based Learning Context: Perceptions and Correlations

This study aims to explore Chinese university EFL learners'perceptions toward alternative assessment in a context of a project-based learning digital storytelling presentation in Speaking Course.It also seeks to compare the relationship between alternative assessment and teacher assessment.The findings showed that a strong correlation between alternative assessment and teacher assessment occurred.Alternative assessment activities are viewed by students as"authentic"assessments,as they mimic how the student will be using their knowledge in the future.Alternative assessment as a form of formative assessment can be a powerful day-to-day tool for teachers and students.Alternative assessment is an enabler of process of learning.The study suggests that alternative assessment can encourage learners to become more fully responsible for their learning and can result in more and better learning.Alternative assessment can thus be used as a golden key to the"deaf and dumb"phenomenon for Chinese university EFL learners.

Development of Fundamental Competencies for Working Persons Through Project-Based Learning

Universities teach mainly specialized subjects and the liberal arts. Society expects university students to gain certain basic skills important when working for a company. These skills can be divided broadly into action, thinking, and teamwork. The purpose of this paper is to propose a method of project-based education for developing fundamental competencies for working persons. Many studies have been reported on educational methods with project management techniques, but few have considered project-based education aiming at improving fundamental competencies for working persons. If these competencies can be developed through project-based education, it will be possible to develop not only teamwork skills, but also a wide range of skills involving action as well as thinking. The traditional Japanese university curriculum comprises specialized subjects and the liberal arts. The author proposes the addition of project-based education to develop basic skills needed in the workforce. This research proposes an education model for basic competency training and examines the educational outcomes by studying results of a cooking tool project assigned to university students. The model includes Teoriya Resheniya Izobretatelskikh Zadatch （TRIZ, a Russian acronym for the theory of inventive problem solving）, a World Cafe, and the SECI process （a process of knowledge creation comprised of socialization, externalization, combination, and internalization in knowledge management） in the hope that this model will be conducive to implementing effective project-based learning. This research concludes that it is possible to develop the basic skills needed by university students in society through project-based learning under a basic skills education model.

Project-based Learning in Calculus on The Use of Maple Software Technology

In this article, authors describe how to use the project-based learning （PBL） pedagogy to enhance students＇ Calculus learning based on the first author＇s experimental teaching experience. The ＂2014 BMCC Polar Art Calendar＂ project was completed by Calculus students at Borough of Manhattan Community College （BMCC） during the fall 2013 semester. Students were requested to apply graphs of polar equations to create computer-generated images with a variety of flower patterns by using the Maple technology in a math lab. At the end of this project, students were requested to submit and present their written reports to express their mathematical thinking. Authors also explain in details how to create projects compatible with textbook knowledge learning objectives, how to prepare scaffolding materials for students to use, how to utilize a math lab and to work with lab technicians in Maple Software, and how to design a rubric for project evaluations. Students＇ artwork created in the Polar Art Calendar are presented. Students＇ positive outcomes have proven a success of this project design as well as its execution as an example of PBL. Benefits to students and challenges to teachers on the use of PBL approach have been discussed at the end of this article.

Promotion of Project-Based Learning Aimed at Professional Skills

Project-based learning theory is applied in Software English course. The aim is to develop students＇ professional skill. A professional skill scale of software engineer is introduced with Software English communicative skill （reading skill, writing skill, listening skill, and communicative skill）, engineering thinking habit （skill of design the plan and problem-solving skill）, engineering thinking skill, knowledge of software engineering, and Emotion Quotient to deal with problems （Team spirit and communicative skill and self-assessment skill）. For software majors, students learn about five stages and job responsibilities in software making process.

Using Project-Based Learning （PBL） in Management Accounting Course： Lesson and Reflection From Entrepreneurship Education

One of the main issues in entrepreneurship education is integrating core course to entrepreneurship course. Many educators fail to integrate core course and entrepreneurial education. The purpose of this study is to investigate whether the integration of management accounting course in entrepreneurship course will accomplish the objective of entrepreneurship education. This study is derived from the experience of entrepreneurial project course at Management Department of Ciputra University, Surabaya. This study uses an explorative approach to investigate the implementation of project-based learning （PBL） in management accounting course. The result shows variation of output. There are about 91% business can be implemented by business groups and about 33% target achieved. Several management accounting techniques are used in this study, such as balanced score card （BSC）, activity-based costing （ABC）, activity-based management （ABM）, cost-volume-profit （CVP） analysis, and tactical decision making. This study found that by using management accounting techniques, student can run the business well especially when they have to make decision. This study strengthens the role of management accounting in business practices, and furthermore, this study proves that management accounting is beneficial for entrepreneurs who are still in the start-up business stage.

To Cultivate Outstanding Software Engineer Based on Project-based Learning

This thesis sketches the connotation of project-based learning and introduces the basis on which project-based learning is practiced and applied in school of software as well as the plan of further practicing project-based learning.At the same time,this thesis also discusses application of project-based learning in "education and cultivation plan of excellent engineer".

Under "Integration of Doing, Learning and Teaching", Research on the Project-Based Teaching Innovation of "Landscape Planning and Design"

Based on the research on the project course theory of "integration of theory and practice" in higher vocational education and the analysis of practical teaching in colleges and universities at home and abroad, combined with literature research, case analysis, system theory and other research methods, the project-based teaching goal, model, content and means of "integration of doing, learning and teaching" in higher vocational education is explored, and the project-based teaching model of "Landscape Planning and Design" is discussed combined with the application of information-based teaching methods. So as to provide references for carrying out the project-based teaching in similar courses in higher vocational colleges and really achieve docking the actual post requirements with the course to provide the basis for achieving the purpose of cultivating skilled talents in higher vocational education.

Project-based Learning （PBL） for Enhancing Chinese College Students＇ English Performance

Project-based learning （PBL） as an instructional approach focuses on student-centeredness through contextualizing learning by presenting students with real world issues and practices that aim at achieving enduring learning effects. As a challenge to traditional lecture-based instruction, PBL may generate positive backwash assessment effects via documenting the process of developing authentic language skills. These skills-oriented outcomes are achieved through proper curricula in appropriate learning situations via various dimensions. However, problems may occur such as management, pressure from administration, evaluation doing their selected projects. teacher/student attitude, class size and proper group process and criteria, and students＇ likely frustrations in

Design and Implementation of Project-Based Collaborative Learning in a Micro-lesson

Combined with the features and strategies of project-based collaborative learning, micro-lesson—as one of modern teaching means, can display the teaching design and implementation of PBL, thus students can improve their awareness and ability of cross-cultural communication in the process of experience PBL.

A Project-Based Assessment Model for Higher Vocational College Eng⁃lish Speaking Teaching

This study intends to explore a new project-based assessment model for higher vocational English speaking teaching.A new selective course was initiated by the author for study purpose.A semester-long project was carried out.A scoring rubric around content,pronunciation,language and PPT use was developed.Both quantitative and qualitative approaches were employed.The overall results show that the new project-based assessment model has been proved effective in evaluating students’project outcomes.

Research on Compatible Mode of Self-directed Learning and Cooperative Learning in Blended Teaching of Basic English Course

In the information age,blended teaching,no matter online or offline,has become the mainstream of college teaching reform.In this teaching model,self-directed learning and cooperative learning are the two main learning approaches.On the online teaching platform,students mainly learn knowledge-based content by self-directed learning,while practising their language skills by cooperative learning in flipped classroom activities.On one hand,it advocates student-centered strategy so as to improve students autonomous learning ability;on the other hand,teachers serve as a guide to organize the classroom activities;meanwhile,they give timely feedback to students in order to promote students’learning ability.In blended teaching model,this mutually compatible and reinforcing model of self-directed learning and cooperative learning is undoubtedly helpful to improve the teaching efficiency.

Research on Federated Learning Data Sharing Scheme Based on Differential Privacy

To realize data sharing,and to fully use the data value,breaking the data island between institutions to realize data collaboration has become a new sharing mode.This paper proposed a distributed data security sharing scheme based on C/S communication mode,and constructed a federated learning architecture that uses differential privacy technology to protect training parameters.Clients do not need to share local data,and they only need to upload the trained model parameters to achieve data sharing.In the process of training,a distributed parameter update mechanism is introduced.The server is mainly responsible for issuing training commands and parameters,and aggregating the local model parameters uploaded by the clients.The client mainly uses the stochastic gradient descent algorithm for gradient trimming,updates,and transmits the trained model parameters back to the server after differential processing.To test the performance of the scheme,in the application scenario where many medical institutions jointly train the disease detection system,the model is tested from multiple perspectives by taking medical data as an example.From the testing results,we can know that for this specific test dataset,when the parameters are properly configured,the lowest prediction accuracy rate is 90.261%and the highest accuracy rate is up to 94.352.It shows that the performance of the model is good.The results also show that this scheme realizes data sharing while protecting data privacy,completes accurate prediction of diseases,and has a good effect.

Deep‐learning powered whispering gallery mode sensor based on multiplexed imaging at fixed frequency

During the last decades the whispering gallery mode based sensors have become a prominent solution for label-free sensing of various physical and chemical parameters.At the same time,the widespread utilization of the approach is hindered by the restricted applicability of the known configurations for ambient variations quantification outside the laboratory conditions and their low affordability,where necessity on the spectrally-resolved data collection is among the main limiting factors.In this paper we demonstrate the first realization of an affordable whispering gallery mode sensor powered by deep learning and multi-resonator imaging at a fixed frequency.It has been shown that the approach enables refractive index unit(RIU)prediction with an absolute error at 3×10^(-6) level for dynamic range of the RIU variations from 0 to 2×10^(-3) with temporal resolution of several milliseconds and instrument-driven detection limit of 3×10−5.High sensing accuracy together with instrumental affordability and production simplicity places the reported detector among the most cost-effective realizations of the whispering gallery mode approach.The proposed solution is expected to have a great impact on the shift of the whole sensing paradigm away from the model-based and to the flexible self-learning solutions.

基于LEARNS模式构建维持性血液透析病人营养健康教育方案

目的:构建基于LEARNS模式的维持性血液透析病人营养健康教育方案,为临床实施“以病人为中心”的营养健康教育提供参考。方法:研究小组在文献研究、小组讨论基础上初步制定营养健康教育方案,采用德尔菲专家函询法对23名专家进行函询,结合条目筛选标准和专家建议,利用层次分析法确定条目权重,构建基于LEARNS模式的维持性血液透析病人营养健康教育方案。结果:2轮咨询专家积极系数为100.0%和91.30%,权威系数为0.874和0.891;变异系数为0.00~0.38和0.00~0.22,肯德尔和谐系数为0.205和0.222(P<0.01)。最终形成包括3个一级条目、32个二级条目的维持性血液透析病人营养健康教育方案。层次分析各级条目一致性系数(CR值)均<0.1。结论:构建的维持性血液透析病人营养健康教育方案具有较高的科学性和可行性,可以为维持性血液透析病人营养健康教育提供借鉴。

Research on the Construction of English Autonomous Learning Monitoring Mode under the Background of Big Data

The era of big data is coming,the combination of big data and traditional teaching can provide more and more accurate services for students'self-learning,and it is a good way to teach students according to their aptitude.In this background,a learning society is coming,which aiming at learning,autonomous learning and lifelong learning.Learning society emphasize the ability of learning autonomy for students unprecedentedly.Learning is no longer limited to the campus.Learning ability will accompany learners'social life and become an active and healthy lifelong activity.Autonomous learning is a learning theory that goes with the requirements of The Times and has a broad development prospect.The study of Autonomous learning not only has a very important guiding significance for the educational and teaching practice in China,but also plays an important role in the life development of every student.The subject of learning is gradually transferred from the classroom,teachers and textbooks to the students themselves.Teachers should not only impart knowledge and answer questions,but also,most importantly,teach students how to exert their autonomy in autonomous learning.After investigating and researching the existing monitoring model of autonomous English learning in colleges and universities,our group found that in practice,there is a lack of corresponding monitoring mechanisms and means,and autonomous learning has gradually become formalized.Therefore,according to the actual situation of autonomous English learning in our country's universities,the monitoring model of autonomous English learning has been reconstructed,and an effective comprehensive evaluation system has been established to effectively improve students'English learning ability.

Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice--A Systematic Review

Forecasting travel demand requires a grasp of individual decision-making behavior.However,transport mode choice(TMC)is determined by personal and contextual factors that vary from person to person.Numerous characteristics have a substantial impact on travel behavior(TB),which makes it important to take into account while studying transport options.Traditional statistical techniques frequently presume linear correlations,but real-world data rarely follows these presumptions,which may make it harder to grasp the complex interactions.Thorough systematic review was conducted to examine how machine learning(ML)approaches might successfully capture nonlinear correlations that conventional methods may ignore to overcome such challenges.An in-depth analysis of discrete choice models(DCM)and several ML algorithms,datasets,model validation strategies,and tuning techniques employed in previous research is carried out in the present study.Besides,the current review also summarizes DCM and ML models to predict TMC and recognize the determinants of TB in an urban area for different transport modes.The two primary goals of our study are to establish the present conceptual frameworks for the factors influencing the TMC for daily activities and to pinpoint methodological issues and limitations in previous research.With a total of 39 studies,our findings shed important light on the significance of considering factors that influence the TMC.The adjusted kernel algorithms and hyperparameter-optimized ML algorithms outperform the typical ML algorithms.RF(random forest),SVM(support vector machine),ANN(artificial neural network),and interpretable ML algorithms are the most widely used ML algorithms for the prediction of TMC where RF achieved an R2 of 0.95 and SVM achieved an accuracy of 93.18%;however,the adjusted kernel enhanced the accuracy of SVM 99.81%which shows that the interpretable algorithms outperformed the typical algorithms.The sensitivity analysis indicates that the most significant parameters influencing TMC are the age,total trip time,and the number of drivers.