如何运用情感因素促进英语教学

积极的情感有助于激发外语学习者的兴趣和动力,能使他们充分挖掘学习潜能,克服语言学习焦虑情绪和心理抑制,对英语学习产生积极作用。本文试从情感及其情感与语言学习的关系、英语学习中的情感因素等方面入手,探讨在英语教学中如何运用情感因素,促进英语教学。     

任务-合作型模式在旅游英语教学中的探索与实践

为培养实用型的旅游英语人才,必须改变传统的教学方式。通过教学实践,本文认为,任务合作型教学模式实施的以学生为中心,课堂活动以任务为基础,营造和谐互动的学习环境,有助于提高学生的语言交际能力和综合素质。     

A methodology to evaluate driving efficiency for professional drivers based on a maturity model

Over the last decade, transport companies have tried to reduce fuel consumption using efficient driving programs. In them, motorists have to apply different specific techniques while driving. Thus, to succeed in this learning process there are two key elements: the knowledge of efficient driving techniques and the drivers’ motivation. The latter is a human factor which companies usually bring about by using reward systems. In this case, having a fair evaluation mechanism is the keystone to determine goal fulfilment. This paper presents a complete methodology to evaluate driving efficiency of drivers in professional fleets. The evaluation methodology is based on a continuous process which determines the maturity of the motorist in different aspects, such as the efficiency during the start of the vehicle movement, during motion or in stop events. In addition, the evaluation methodology includes an early-classification method to establish the initial efficiency level of the individual drivers which permits an adaptation of the learning process from the beginning. A dashboard has also been developed to support the evaluation methodology. 880 professional drivers have been evaluated with this methodology. Results show that the evaluation methodology identifies drivers’ weaknesses, to be improved in successive iterations of the learning process.     

短时记忆与外语学习

短时记忆在外语学习中起着十分重要的作用。本文论述了短时记忆的特点及与长一时记忆、工作记忆的关系，探讨了短时记忆与外语学习的关系，最后提出了提高外语学习的一些方法。     

我国利率市场化及其潜在的风险

通过分析我国市场利率化内客及存在的问题.提出了我国市场利率化蕴含的风险。     

提高高职学生《高等数学》学习兴趣的途径

针对高职院校中高等数学这门课程的学习现状,本文就进一步提高教学艺术、在数学课教学中运用现代化教学手段、在数学课教学中融人专业应用方面的内容等方面提出建议和思考,重点解决如何激发高职学生学习高等数学的学习兴趣,从而有效提高教学质量.     

Learning Frontiers in the Practice of Integrated Coastal Management

Since the Rio conference in 1992 investments in integrated coastal management (ICM) have increased dramatically. National and subnational governments have undertaken many initiatives to protect and develop coastal areas. Extensive field experience has advanced understanding of the operational attributes of ICM. This article reviews the principles and operational attributes of ICM that have become well accepted, particularly from the perspective of international ICM donors and professionals. A common understanding of the fundamentals of ICM provides a base from which targeted and systematic study and assessment of ICM can be conducted. Several thematic areas are suggested where there are currently important needs and opportunities for collective study and learning in ICM. The important role of donors is emphasized in supporting collaborative learning initiatives that advance understanding of ICM, and improve and expand the practice.     

大学英语课堂动机理论研究及Dornyei动机框架的应用

学习动机是影响学习成效的重要因素,本文梳理了心理学领域的动机理论研究的重要成果,将着眼点置于Dornyei的二语动机框架,着重分析了其动机因素三层面的内涵及对我国大学英语教学改革的促进作用。     

Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

Road vehicle detection and, to a lesser extent, classification have received considerable attention, in particular for the purpose of traffic monitoring by transportation authorities. A multitude of sensors and systems have been developed to assist people in traffic monitoring. Camera-based systems have enjoyed wide adoption over the last decade, partially substituting for more traditional techniques. Methods based on road-pavement vibration are not as common as camera-based systems. However, vibration sensors may be of interest when sensors must be out of sight and insensitive to environmental conditions, such as fog. We present and discuss our work on detection and classification of vehicles by measurement of road-pavement vibration and by means of supervised machine learning. We describe the entire processing chain from sensor data acquisition to vehicle classification and discuss our results for the task of vehicle detection and the task of vehicle classification separately. Using data for a single vibration sensor, our results show a performance ranging between 94% and near 100% for the detection task (1340 samples) and between 43% and 86% for the classification task (experiment specific, between 454 and 1243 samples).