PBL(Project-based Learning)教学模式在高职英语自主学习课程中的应用研究

本文采用行动研究的方法,以武汉职业技术学院的英语听说过级自主学习课程为例,探讨如何在自主学习课程中应用PBL的教学模式改进自主学习课程的考核方式,提高学生的自主学习能力和意识。文章首先分析了自主学习课程在实施过程中遇到的问题,详细描述了PBL教学模式的总体设计构想和具体的实施步骤,并对实施的结果进行了讨论。经过统计和问卷调查结果发现,应用PBL模式后,实验班的学生的学习兴趣有了很大的提高,有利于培养他们的自主学习能力和合作精神。同时,试验前后的听力测试表明,实验班听力成绩较对照班也有了显著的提高。可见,PBL模式的应用能在一定程度上改进目前在自主学习课程中所遇到的一些问题。

基于PBL(Project-based Learning)的商务英语混合式教学模式研究

商务英语课程是融英语语言知识、商务知识及商务实践为一体的课程,其知识性和实践性并重的特点决定了传统的以教师讲授为主的教学模式无法满足培养社会需要的商务英语人才的需求,教学模式亟待改革。项目学习法是学生在实践中构建知识的一种教学模式,而线上线下资源有机融合的混合式教学模式能够拓展课堂容量,使学习不受时空地域的限制,二者相结合是商务英语教学改革的重要方向,教学评价体系的改革是确保新教学模式有效实施的重要保证。

基于Q-Learning的电网工程数据处理与分析方法研究

针对因电网工程数据管控智能化程度不足而导致的工程延期等现象频繁发生的问题,文中展开了一种基于Q-Learning的电网工程数据管控与分析方法研究。该方法在构建的电网工程数据管控与分析系统中,利用主成分分析法(Principal Component Analysis,PCA)提取数据的主要影响因素。将其输入Q-Learning算法进行智能分析,从而得到数据分析结果并用于制定管控措施。同时以某电力公司的输变电工程费用数据作为样本进行实验验证,结果表明,采用所提方法分析得到的工程总费用约为2千万元,相较预算减少了3%,且管控效果优于其他对比方法,能够为工程数据提供支撑与辅助决策。

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.

Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement

Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects.For fringe projection profilometry(FPP),however,it is still challenging to recover accurate 3D shapes of isolated objects by a single fringe image.In this paper,we demonstrate that the deep neural networks can be trained to directly recover the absolute phase from a unique fringe image that involves spatially multiplexed fringe patterns of different frequencies.The extracted phase is free from spectrum-aliasing problem which is hard to avoid for traditional spatial-multiplexing methods.Experiments on both static and dynamic scenes show that the proposed approach is robust to object motion and can obtain high-quality 3D reconstructions of isolated objects within a single fringe image.

Supervised local and non-local structure preserving projections with application to just-in-time learning for adaptive soft sensor

In soft sensor field, just-in-time learning(JITL) is an effective approach to model nonlinear and time varying processes. However, most similarity criterions in JITL are computed in the input space only while ignoring important output information, which may lead to inaccurate construction of relevant sample set. To solve this problem, we propose a novel supervised feature extraction method suitable for the regression problem called supervised local and non-local structure preserving projections(SLNSPP), in which both input and output information can be easily and effectively incorporated through a newly defined similarity index. The SLNSPP can not only retain the virtue of locality preserving projections but also prevent faraway points from nearing after projection,which endues SLNSPP with powerful discriminating ability. Such two good properties of SLNSPP are desirable for JITL as they are expected to enhance the accuracy of similar sample selection. Consequently, we present a SLNSPP-JITL framework for developing adaptive soft sensor, including a sparse learning strategy to limit the scale and update the frequency of database. Finally, two case studies are conducted with benchmark datasets to evaluate the performance of the proposed schemes. The results demonstrate the effectiveness of LNSPP and SLNSPP.

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.

An Equivalent Form of S-L Projection Learning

Learning a mapping between an input space and an output.space from training data canbe viewed as a problem of function approximation,which means that different criteria result in learningapproaches of different abilities.Among them,projection criterion proposed by one of the authors aimsdirectly at optimal generalization.The projection idea leads to three specific learning approaches,projection learning,partial projection learning,and averaged projection learning,and a framework of afamily of projection learning called S-L projection learning is established to discuss infinite kinds oflearning.S-L projection learning has a different form from the three methods,and it is not easy to analyzetheir relationship.This paper focuses on an equivalent form of S-L projection learning,which shows thatit is a transformed version of partial projection learning.

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.

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".

A NEW APPROACH FOR UNSUPERVISED RESTORING IMAGES BASED ON WAVELET-DOMAIN PROJECTION PURSUIT LEARNING NETWORK

The Wavelet-Domain Projection Pursuit Learning Network (WDPPLN) is proposedfor restoring degraded image. The new network combines the advantages of both projectionpursuit and wavelet shrinkage. Restoring image is very difficult when little is known about apriori knowledge for multisource degraded factors. WDPPLN successfully resolves this problemby separately processing wavelet coefficients and scale coefficients. Parameters in WDPPLN,which are used to simulate degraded factors, are estimated via WDPPLN training, using scalecoefficients. Also, WDPPLN uses soft-threshold of wavelet shrinkage technique to suppress noisein three high frequency subbands. The new method is compared with the traditional methodsand the Projection Pursuit Learning Network (PPLN) method. Experimental results demonstratethat it is an effective method for unsupervised restoring degraded image.

How Project-Based Organizations Cultivate Learning in Projects: A Social-Constructivist Perspective

A growing number of studies are now emphasizing the critical importance of learning and knowledge accumulation for firm-level competitiveness. Despite the growing awareness, relatively fewer project-based firms have institutionalized mechanisms to systematically capture new project knowledge and re-use it to improve the execution of subsequent projects. The peculiarity of projects presents unique challenges that make the cognitive approach to learning difficult to implement. As such, researchers are recommending the social constructivist perspective of learning as the most viable strategy for cultivating learning within and across projects. However, scant work has been undertaken from this sociological perspective to analyze how temporary organizations manage knowledge arising from and relating to projects. From this standpoint, the aim of this paper is to discuss the learning mechanisms of construction firms. The study adopted a quantitative strategy by employing a questionnaire survey into the learning practices of construction projects in Ghana. Drawing on preliminary findings from the literature, the study proposes a model for cultivating learning within projects from the social constructivist viewpoint. In the model, project management practitioners can purposefully nurture or structure a project learning activity through four mechanisms viz.: institutionalization, externalization, socialization and internalization. The proposed model is subsequently validated in an empirical study into the learning practices during the implementation of construction projects in Ghana. Based on the empirical results, it seems that knowledge sharing and transfers through the four aforementioned learning mechanisms proposed by the model are highly regarded within project management practice in Ghana.

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

基于OBE-CDIO理念的四维专业课程思政建设与实践探索

立德树人是高校教育的中心任务和根本目标,传统理工科课程内容的德育意识薄弱、价值涵纳度较低,专业课程思政有效发挥思政课程外的德育功能,新时代德、技、能并进的高等人才培养模式探索势在必行。该文以专业教育为载体,融合线上、线下理论课程和项目制实践课程三维空间一体化模式开展专业思政教育;以成果导向教育为核心、以学生为中心,全过程评价并持续改进,在OBE-CDIO理念下构建时间维度的成果导向和项目驱动专业培养模式,实现三维空间与时间维的4D专业课程思政建设,以形成思政要素和专业教育协同、立体化施教,达到高层次的育人目标。

紫外吸收光谱结合SPA-ELM算法的水体磷酸根离子检测研究

在工业锅炉中随着水蒸气蒸发,大量的钙镁离子留在炉水中,如果不加处理,在水冷管中会形成水垢,造成爆管停炉。为了保障设备的安全运行,消除安全隐患,工业上通过维持水中一定含量的磷酸根离子来去除锅炉中的钙、镁水垢。传统的磷酸根离子检测技术主要有比色法、分光光度法、色谱法、电位法等,这些方法前期处理步骤较繁琐且耗时较长。光谱法是通过测定物质的吸收光谱并建立和浓度关系的数学模型,对物质浓度定量的一种分析方法。为了满足磷酸根离子快速、实时测量的要求,提出了一种基于紫外吸收光谱结合SPA-ELM算法快速测量磷酸根离子的方法。按照我国《工业锅炉水质GB/T 1576—2018》中所规定的进入热水锅炉前的水质参数要求,配置37份浓度范围在5~100 mg·L^(-1)磷酸根溶液,使用搭建的实验装置,采集紫外吸收光谱。使用SPXY将样品按照7∶3的比例随机划分训练集、测试集;使用Savitzky-Golay(S-G)滤波对数据预处理以提高光谱的信噪比;通过连续投影算法(SPA)压缩光谱数据,筛选出5个与磷酸根强相关的特征波长;使用极限学习机(ELM)将特征波长处的吸光度与样本浓度进行拟合,以决定系数R2和均方根误差RMSE作为模型评价指标,建立磷酸根离子的回归模型。采用所提出的建模方法所建立的模型训练集的R2与RMSE分别为0.9972和1.3015 mg·L^(-1),测试集的R^(2)与RMSE分别为0.9995和0.5174 mg·L^(-1)。为了验证所提出的SPA-ELM预测模型效果,另外建立了LASSO-ELM、PCA-ELM、SPA-PLS和SPA-SVR四种预测模型进行对比。实验结果表明,SPA-ELM建立的预测模型的R2和RMSE均优于其他四种预测模型,说明采用的特征选择方法和回归方法均为最优,能够对磷酸根浓度范围为5~100 mg·L^(-1)的水体进行准确预测,为水中磷酸根离子的检测提供了一种新的解决方法。

基于3M-PBL-OBE的机械工程实验教学体系改革与实践

针对传统实验教学中存在以认知体验为主、缺乏连贯层次化设计和过度依赖实验报告等问题,以装备设计制造能力培养为导向,融合基于模型设计(MBD)、虚实结合的机电概念设计(MCD)、制造执行系统MES等理念方法,建立以项目式学习为驱动的层次递进式实验教学构架,改革现有专业课程实践知识体系,培养能够解决复杂工程问题的高质量机械工程人才。通过持续实践,取得了明显的成效。

融入PBL-IECT理念的大数据类专业课程重构研究

由于大数据类专业课程建设历程较短,实践教学案例少、可借鉴的教学经验不足等原因,课程教学仍然采用以传统理论讲授为主、上机实践为辅的教学模式。传统教学在知识更新、与行业实际接轨等方面很难取得令人满意的教学效果。通过对大数据类专业课程知识跨度大、内容更新快、实践性要求高、技术性强等特征进行分析,提出融入“PBL-IECT(项目驱动-专家协同)”理念的教学模式对大数据类专业课程进行重构,设计出以“项目驱动(PBL)”优化课程内容、以“专家协同(IECT)”优化教学模式的课程框架,以“数据采集与清洗”课程为例经过多轮教学实验发现,该模式对于激发学生的开创力、提升学生解决实际问题的能力效果明显。

大型企业E-learning项目运营体系研究——以国家电网公司网络大学为例

国内企业E-leaning发展飞速,国家电网公司也跟上节奏产生了丰富的成果,但在线学习的效果还有待提升。文章结合国内先进实践经验以及国家电网公司网络大学现状,提出个人的见解和思考。