E-learning and Language and Style in Hong Kong

2006 ◽  
Vol 15 (3) ◽  
pp. 277-290 ◽  
Author(s):  
Peter Crisp
Keyword(s):  
Hong Kong ◽  
Cultural Context ◽  
Quantitative Data ◽  
Web Based ◽  
Traditional Lecture ◽  
Chinese University ◽  
E Learning ◽  
Approach To Teaching ◽  
The Web ◽  
Qualitative Discussion

This article presents something of the experience of teaching and studying web-based Language and Style at the Chinese University of Hong Kong, concentrating mainly on the 2004–5 running of the course, which was taught in a blended traditional + web format. It concentrates on this experience and only briefly presents some degree of the socio-linguistic and cultural context to make the experience accessible for those not familiar with Hong Kong. Some quantitative data are given and are supplemented by qualitative discussion of student comments. A particularly important qualitative resource was the weekly journals kept by the students. The main conclusion to be drawn is that the students want to retain the major features of the traditional lecture and tutorial approach to teaching, but value having this supplemented with the interactive dimension of the web-based approach.

E-learning and Language and Style in Lancaster

2006 ◽  
Vol 15 (3) ◽  
pp. 234-256 ◽  
Author(s):  
Mick Short
Keyword(s):  
Student Performance ◽  
English Language ◽  
First Year ◽  
Traditional Teaching ◽  
Web Based ◽  
Traditional Lecture ◽  
Student Responses ◽  
Introductory Course ◽  
E Learning ◽  
The Web

This article reports on research conducted in the department of Linguistics and English Language at Lancaster University from 2002 to 2005 on first-year undergraduate student performance in, and reaction to, a web-based introductory course in stylistic analysis. The main focus of this report is a comparison of student responses to the varying ways in which the web-based course was used from year to year. The description of student responses is based on an analysis of end-of-course questionnaires and a comparison of exit grades. In 2002–3, students accessed the first two-thirds of the course in web-based form and the last third through more traditional teaching. In 2003–4 the entire course was accessed in web-based form, and in 2004–5 web-based course workshops were used as part of a combined package which also involved weekly lectures and seminars. Some comparison is also made with student performance in, and responses to, the traditional lecture + seminar form of the course, as typified in the 2001–2 version of the course.

Using Expert Reviews to Enhance Learning Designs

2011 ◽  
pp. 243-262 ◽  
Author(s):  
Carmel McNaught ◽  
Paul Lam ◽  
Kin-Fai Cheng
Keyword(s):  
Hong Kong ◽  
Learning Strategies ◽  
Web Sites ◽  
Learning Design ◽  
Expert Review ◽  
Institutional Planning ◽  
Chinese University ◽  
E Learning ◽  
Evaluation Matrix ◽  
The Web

The chapter will describe an expert review process used at The Chinese University of Hong Kong. The mechanism used involves a carefully developed evaluation matrix which is used with individual teachers. This matrix records: (1) the Web functions and their use as e-learning strategies in the course Web site; (2) how completely these functions are utilized; and (3) the learning design implied by the way the functions selected are used by the course documentation and gauged from conversations with the teacher. A study of 20 course Web sites in the academic years 2005–06 and 2006–07 shows that the mechanism is practical, beneficial to individual teachers, and provides data of relevance to institutional planning for e-learning.

Web-Based Multimedia Tools for Monitoring and E-Learning

2010 ◽  
pp. 1-21 ◽  
Author(s):  
F. Bellas ◽  
O. Fontenla-Romero ◽  
N. Sánchez-Maroño ◽  
J. A. Becerra
Keyword(s):  
Teaching Methodology ◽  
Resource Monitoring ◽  
Web Based ◽  
Basic Point ◽  
Multimedia Tools ◽  
Degree Of Satisfaction ◽  
E Learning ◽  
Interactive Videos ◽  
The Web

This chapter is devoted to the application of Web-based multimedia tools as a complement to traditional e-learning resources to improve the quality of teaching in two senses: adapting lesson contents to improving the understanding and increasing the motivation of the students. The authors present a set of practical tools that have achieved successful results in their courses and that, together, provide a more proactive teaching methodology based on interactive and mobile learning materials. These tools can be divided into two main groups: simulations and interactive videos, directly related to the process of studying, and quizzes and questionnaires, useful to adapt the teaching to the objective comprehension level. In addition, the authors point out the advantages of providing the students with more familiar multimedia materials suitable for being transported and consulted in mobile devices. A basic point of this methodology is that all these resources are available through a Web-based interface, so that the interaction does not depend on the physical presence of the students. Finally, the authors must point out that with their methodology they are focused on monitoring learning, which is achieved directly with online questionnaires, but they have also performed resource monitoring, in terms of degree of satisfaction and practical use. This is achieved, in this case, through the use of surveys and from the analysis of the statistics provided by the Web-based application.

Conclusions

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Web Search ◽  
Web Based ◽  
E Learning ◽  
Computer Based ◽  
Intelligent Devices ◽  
Automated Data Integration ◽  
The Web

At the start of this book we outlined the challenges of automatic computer based processing of information on the Web. These numerous challenges are generally referred to as the ‘vision’ of the Semantic Web. From the outset, we have attempted to take a realistic and pragmatic view of this vision. Our opinion is that the vision may never be fully realized, but that it is a useful goal on which to focus. Each step towards the vision has provided new insights on classical problems in knowledge representation, MASs, and Web-based techniques. Thus, we are presently in a significantly better position as a result of these efforts. It is sometimes difficult to see the purpose of the Semantic Web vision behind all of the different technologies and acronyms. However, the fundamental purpose of the Semantic Web is essentially large scale and automated data integration. The Semantic Web is not just about providing a more intelligent kind of Web search, but also about taking the results of these searches and combining them in interesting and useful ways. As stated in Chapter 1, the possible applications for the Semantic Web include: automated data mining, e-science experiments, e-learning systems, personalized newspapers and journals, and intelligent devices. The current state of progress towards the Semantic Web vision is summarized in Figure 8.1. This figure shows a pyramid with the human-centric Web at the bottom, sometimes termed the Syntactic Web, and the envisioned Semantic Web at the top. Throughout this book, we have been moving upwards on this pyramid, and it should be clear that a great deal of progress that has been made towards the goal. This progress is indicated by the various stages of the pyramid, which can be summarized as follows: • The lowest stage on the pyramid is the basic Web that should be familiar to everyone. This Web of information is human-centric and contains very little automation. Nonetheless, the Web provides the basic protocols and technologies on which the Semantic Web is founded. Furthermore, the information which is represented on the Web will ultimately be the source of knowledge for the Semantic Web.

Towards a Personalized E-Learning System

2011 ◽  
pp. 2124-2134
Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li
Keyword(s):  
Online Education ◽  
Economic Benefit ◽  
Learning System ◽  
Development Cost ◽  
Web Based ◽  
Course Materials ◽  
Web Based Learning ◽  
Interactive Environment ◽  
E Learning ◽  
The Web

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.

Web-Based Survey of Depression, Anxiety and Stress in First-Year Tertiary Education Students in Hong Kong

2006 ◽  
Vol 40 (9) ◽  
pp. 777-782 ◽  
Author(s):  
Josephine G.W.S. Wong ◽  
Erik P.T. Cheung ◽  
Kitty K.C. Chan ◽  
Kamela K.M. Ma ◽  
Siu Wa Tang
Keyword(s):  
Hong Kong ◽  
Survey Methodology ◽  
Tertiary Education ◽  
First Year ◽  
Prevention Measures ◽  
Education Students ◽  
Web Based ◽  
College Life ◽  
Prevalence Of Depression ◽  
The Web

Objective: The mental health of tertiary education students is an area of increasing concern worldwide. The objective of this study is to examine the prevalence of depression, anxiety and stress in first-year tertiary education students in Hong Kong. Method: Depression, anxiety and stress were measured by the 42-item Depression Anxiety Stress Scales, completed on the web by participating students anonymously. Results: A total of 7915 students completed the survey, yielding a response rate of 27.5%. Depression, anxiety and stress levels of moderate severity or above were found in 21%, 41% and 27% of our respondents, respectively. Conclusions: The web-based survey methodology was well accepted by our sample group of tertiary education students. We found high rates of psychological morbidity in first-year tertiary education students in Hong Kong. The high prevalence of depression, anxiety and stress symptoms in the first year of college life is alarming. It illustrates the need for primary and secondary prevention measures, with development of adequate and appropriate support services for this group.

scholarly journals Development, validation and use of the Online Learning Environment Survey

2005 ◽  
Vol 21 (1) ◽  
Author(s):  
Sue Trinidad ◽  
Jill Aldridge ◽  
Barry Fraser
Keyword(s):  
Online Learning ◽  
Hong Kong ◽  
Learning Environment ◽  
Learning Environments ◽  
Quantitative Data ◽  
Reliability And Validity ◽  
Female Students ◽  
Online Learning Environment ◽  
Male And Female ◽  
E Learning

<span>This article reports the development, validation and use of a survey for assessing students' perceptions of their e-learning environments. The Online Learning Environment Survey (OLES) was administered to 325 students, 131 in Australia and 194 in Hong Kong. The data were analysed to examine 1) the reliability and validity of the survey, 2) differences between the perceptions of a) students' actual and preferred environment, b) students and their teacher and c) male and female students and 3) whether associations exist between students' perceptions of their e-learning environment and their enjoyment of e-learning. In addition to quantitative data, unstructured interviews were used to provide a more in depth understanding of the e-learning environments created. These data provide valuable feedback to educators working in e-learning environments to help teachers to evaluate the effectiveness of the environment and to make adjustments and improvements as required.</span>

scholarly journals Research on Personalized and Secured E-Learning Systems using Data Mining Technique

2019 ◽  
Vol 8 (11S) ◽  
pp. 664-667
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Learning Systems ◽  
Large Set ◽  
Data Mining Technique ◽  
Large Space ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning ◽  
The Web

Data mining is the concept for extracting the appropriate data from the large set of database. In today’s world it is widely used for many applications where learning applications is one of the major part. The e-Learning is the booming technology where anyone can learn everything from any part of the world. It is the digital way of learning the concepts and does not require the help of other persons to do so. It also requires the large space for data storage such as user information, course records and course details and so on. There are lot of learning applications available on the internet among which some might be subjected to frauds. So the security is the demanding thing every users looking for to protect their details. The users also seek for flexibility of using the applications. In perspective of distributed world, the complexity and interoperability of the data brings challenges in e-learning domain.Depends upon learner’s choice, the web based learning modules were developed for the students. Thus, a holistic approach is required for achieving the personalized content since the student groups are heterogeneous in nature. In addition to, the personalized content has to be protected in order to maintain the data integrity and privacy of the users. In this work, we survey about the present scenario of the web-based e-learning systems. Initially, we present the services oriented architecture of the e-learning systems and also clearly explain the different elearning layers.Then, we portray the existing studies processed in web based e-learning systems. Finally, we discuss about the challenges still persists in web-based learning systems. This paper will guide the upcoming researchers in e-learning fields.

scholarly journals Pembelajaran E-Learning Berbasis Web Bagi Pengajar untuk Mendukung Kegiatan Perkuliahan di Politeknik Negeri Padang

2017 ◽  
Vol 12 (2) ◽  
pp. 43
Author(s):  
Maimuzar - ◽  
Nasrul -
Keyword(s):  
Design Process ◽  
Learning System ◽  
Web Based ◽  
Teaching Activities ◽  
The Real ◽  
Design And Implementation ◽  
Learning Evaluation ◽  
E Learning ◽  
To Receive ◽  
The Web

We-based e-Learning System can be used to support lecture’s activity. Lecturer as a teacher need a servise of the Sistim which suitable for their activities. Lecturer’s activities consist of delivering materials, discussion and interaction with their students. Because of that the aplication design is needed to support the activities of lectures.             Designing the web based e-Learning System is intended to give a service on the lecture. Lecture can do their teaching activities, delivering the materials and administering it using this e-Learning aplication. From the student side, they have to receive the materials easily from anywhere at anytime. This research have an objective to design a web based e_learning System which give an adequate service supporting the lecturer’s activities. Lecture can use this aplication ti deliver their materials, communicating and interacting with their student, observing the progress of students and give result of learning evaluation from the web.             The design and implementation of this e-learning application is based on the requirement of the users. The users consist of lecturer, student, quest, and administrator. The process of aplication design is built within Sistimatical stages. After finishing the design process, the aplication is implemented on the real Sistim. Doing the design testing and functional is to test if the aplication can go well together with design and funtionality.e-Learnign aplication that has been built is designed based on lecturer’s need when doing their lecture’s activities. This e-Learning aplication can be used as contribution for building new aplication or5 improving others that has already exist.

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