在线Syllabus的评价标准模型研究

随着高等学校教学规模越来越大,教学手段亟待提高是当务之急。理论课程在线教育已经越来越显重要。为了提高在线课程质量和可用性,有必要给出评价形式和评价内容标准模型。本文提出在线syllabus的评价标准模型。越来越多的理论课程开发了在线教育,也就越来越需要评价形式和内容来提高它们的质量和可用性。在线syllabus评价方法可以被用作开发和评价有效的在线大纲的指南。

高质量的课堂教学来自于精心设计——美国林肯大学Syllabus剖析

美国林肯大学课堂教学有一个小小文件—— Syllabus。本文通过对 Syllabus比较详细的说明和分析 ,透视出提高课堂教学质量和效果的一个重要思想

采用Syllabus概念建立互动式课程教学计划

Syllabus可以用来鼓励学生积极参与课程学习和建立一个有效的课堂气氛,但其有效设计方法和使用的讨论却很少出现。该文在目前Syllabus研究理论的基础上,分析了Syllabus基本概念、以学生为中心编制Syllabus的方法和步骤以及对我校中外合作办学专业教学和学习过程产生积极影响的因素。

采用Syllabus概念 建立课程教学计划制度

介绍了西方传统教育理论的课程教学计划(syllabus)概念。以实例为基础,把现行的课程教学大纲、课程进度计划和课程教学计划的功能进行了比较,指出前两者不能代替后者。对课程教学计划的内容和形式进行了说明,建议采用传统的syllabus概念,建立和完善我国的大学课程教学计划制度。

On Task-based Syllabus

Task-based syllabus (TBS) is organized around tasks. The basic theoretical foundation of TBS is Krashen's acquisition theory.from the L2 acquisition theory. The characteristic of TBS is focus of process of learning. TBS can improve communicative competence of learners, but it ignores grammar learning and teaching. The application of TBS in China is wide and the author provides an example.

Educational Linguistics and College English Syllabus Design

The direct application of linguistic theories to syllabus design gives rise to frequent change of syllabus type in the history of syllabus development, which makes language teachers feel difficult to adapt to, to adopt and to implement. The recognition and popularization of the new-born discipline educational linguistics servers as a method to ease the situation, especially in the college English syllabus design in China. The development and application of the fruitful achievements in educational linguistics is bound to provide us with a more scientific approach to syllabus design in the future.

A Study on Task-based Language Teaching Syllabus Design

Task-based teaching syllabus becomes more and more popular in modern English teaching. It is widely used in the English teaching from junior to senior high school and even to collage and university education. This paper is mainly studies the relevant research on task-based teaching syllabus and offers some tips on task-based syllabus design.

Syllabus Design for Aviation Basic English Based on ESP

The needs analysis of Aviation Basic English course on ESP teaching is emphasized and the syllabus is designed here to instruct the better pre-job training for the students in the major of aircraft manufacturing technology.

Syllabus in the Light of Keeping Pace with the Times

Drawing up of syllabus plays a very important role in directing college English teaching. With the fast developing pace of the situation and the increasing requirements for undergraduates＇ English level, the available Syllabus is obviously far from satisfaction. This paper, from six perspectives, expounds the inadequacies and drawbacks of the Syllabus. It points out that college English teaching and the Syllabus need reform and should keep pace with the times.

Analysis of Task-based Syllabus

Task-based language teaching is very popular in the modern English teaching.It is based on the Task-based Syllabus. Task-based Syllabus focuses on the learners' communicative competence,which stresses learning by doing. From the theoretical assumption and definitions of the task,the paper analysizes the components of the task, then points out the merits and demerits of the syllabus. By this means the paper may give some tips to teachers and students when they use the tsk-based language teaching.

Course Design of College English Listening with Content-based syllabus

本文基于对非英语专业学生进行的问卷调查,根据发现的听力问题进行分析,然后按照基于内容的教学大纲进行了有针对性的听力课程设计。

Self-Learning and Its Application to Laminar Cooling Model of Hot Rolled Strip

The mathematical model for online controlling hot rolled steel cooling on run-out table （ROT for abbreviation） was analyzed, and water cooling is found to be the main cooling mode for hot rolled steel. The calculation of the drop in strip temperature by both water cooling and air cooling is summed up to obtain the change of heat transfer coefficient. It is found that the learning coefficient of heat transfer coefficient is the kernel coefficient of coiler temperature control （CTC） model tuning. To decrease the deviation between the calculated steel temperature and the measured one at coiler entrance, a laminar cooling control self-learning strategy is used. Using the data acquired in the field, the results of the self-learning model used in the field were analyzed. The analyzed results show that the self-learning function is effective.

Needs Analysis and Syllabus of English Teaching:A Case Study

The foundation of any teaching program should be the needs of the students.A syllabus can be successful only if it meets the needs of the particular group of students for whom it is intended.However,close needs analysis has been absent in some English classes.The present study aimed to solve the problem of the possible mismatch between English learners and teachers especially in the intensive English training class.To identify the English students' needs in an intensive English training class,the questionnaires designed by the researcher were administered to the students.It was found that the English teaching would be based on real communication.Finally,the tentative syllabus was designed for English teaching based on the result of the need analysis.

The Training and Performance of Emergency Physicians as Anesthetists for International Medical Surgical Response Teams: The Emergency Physician’s General Anesthesia Syllabus (EP GAS)

Background: The availability of an anesthesiologist is often a limiting factor in the number of operations that can be performed by International Medical Surgical Response Teams (IMSuRT). Because emergency physicians (EPs) possess skills in airway control, management of moderate and deep sedation, and ventilator management, we propose that with proper training in general anesthesia, EPs can serve as anesthetists for IMSuRT with anesthesiologist supervision. Methods: During a 10-week period, a board-certified EP administered general anesthesia to 60 patients prior to a surgical medical mission trip. The breakdown of surgical cases was: 11 orthopedic, 2 genitourinary, 20 ear, nose, and throat, 8 obstetrics and gynecological, 13 general surgery, and 6 vascular. A simplified protocol for induction, maintenance, and emergence was adhered to for all cases. Results: Fourteen orthopedic cases using general anesthesia were performed in a one-week period in Haiti. These cases involved open reduction and internal fixation (ORIF), hemiarthoplasty, hardware removal, tendon transfer and external fixation of fractured bone. Conclusion: We demonstrate the feasibility of a model curriculum to train EPs in the basics of anesthesia. The EP can safely and effectively deliver general anesthesia for major cases on surgical medical mission trips under the auspices of an anesthesiologist in an austere environment.

Self-Learning of Multivariate Time Series Using Perceptually Important Points

In machine learning,positive-unlabelled(PU)learning is a special case within semi-supervised learning.In positiveunlabelled learning,the training set contains some positive examples and a set of unlabelled examples from both the positive and negative classes.Positive-unlabelled learning has gained attention in many domains,especially in time-series data,in which the obtainment of labelled data is challenging.Examples which originate from the negative class are especially difficult to acquire.Self-learning is a semi-supervised method capable of PU learning in time-series data.In the self-learning approach,observations are individually added from the unlabelled data into the positive class until a stopping criterion is reached.The model is retrained after each addition with the existent labels.The main problem in self-learning is to know when to stop the learning.There are multiple,different stopping criteria in the literature,but they tend to be inaccurate or challenging to apply.This publication proposes a novel stopping criterion,which is called Peak evaluation using perceptually important points,to address this problem for time-series data.Peak evaluation using perceptually important points is exceptional,as it does not have tunable hyperparameters,which makes it easily applicable to an unsupervised setting.Simultaneously,it is flexible as it does not make any assumptions on the balance of the dataset between the positive and the negative class.

A Discussion of Which Type of Syllabus Could Most Appropriately be Used by Those Wishing to Adopt a Communicative Approach to Language Teaching

Different teaching approaches may apply to different types of syllabus.Before the emergence of communicative approach in language teaching in the 1970s,most of the language teaching approaches at that time have used a structural syllabus,or "grammatical" syllabus (in Nunan,1988,the two terms are interchangeable).In communicative approach of language teaching,there are several types of syllabuses that stress the importance of communication in language teaching and learning may be applied to it.But which type is the most suitable one for this teaching approach? This is the goal of this article.In this essay the author will try to find out the answer and provide arguments through analysis of and comparison between them.

Critique of an Existing Language Syllabus

This article is intended for exploration and critique of some issues of the syllabus for Certificate in English for Business. The issues examined are what ideologies are behind the design, what types of the syllabus are and whether it is likely to develop the communicative competence. In addition, the comparison between the learning outcomes and objectives of the education program is also included. Next, the process-oriented syllabus which is different from the category of the teaching plan is taken into consideration as well. Finally, minor problems on whether the design is likely to meet the learners'needs and motivate the learners, whether it is likely for the teacher to the implement the plan are covered, being discussed briefly.

Where Have Network-based Self-learning Classes Gone?——Reflections & Expectations on the Employment of Network-based Self-learning Classes

To respond to the further development of college English reforms,many universities employed network-based selflearning classes to aid the traditional classroom teaching,especially in teaching listening,but as time went by,some universities gradually gave them up.The paper intends to reflect on the employment of network-based self-learning listening classes,analyz ing the learning with and without its aid,and meanwhile introduce the need to re-employ it,and discuss how we can improve the network-based self-learning classes to help with students' listening.

SELF-LEARNING FUZZY CONTROL RULES USING GENETIC ALGORITHMS

This papcr presents a new genetic algorithms(GAs)-based method for self-learniag fuzzy control rules. An improved GA is used to learn to optimally select the fuzzy membership functions of the linguistic labels in the condition portion of each rule, and to automatically generate fuzzy control actions under each condition. The dynamics of the controlled system is unknown to the GA. The only information for evaluating performance is a failure signal indicating that the controlled system is out of control. We compare its performance with that of other learning methods for the same problem. We also examine the ability of the algorithm to adapt to changing conditions. Simulation results show that such an approach for self-learning fuzzy control rules is both effective and robust.

Mathematical model for cooling process and its self-learning applied in hot rolling mill

Control precision of coiling temperature is one of the key factors affecting the profile shape and surface quality during the cooling process of hot rolled steel strip.For this reason,the core of temperature control precision is to establish an effective cooling mathematical model with self-learning function.Starting from this point,a cooling mathematical model with nonlinear structural characteristics is established in this paper for the cooling process of hot rolled steel strip.By the analysis of self-learning ability,key parameters of the mathematical model could be constantly corrected so as to improve temperature control precision and adaptive capability of the model.The site actual application results proved the stable performance and high control precision of the proposed mathematical model,which would lay a solid foundation to improve the steel product qualities.