分布式e-Learning环境中的个性化

一、引言众所周知,在e-Learning研究领域中,如何使用动态和异构学习环境中的分布式信息进行个性化学习,依然是个有待解决的问题。我们可以设想一个网络互连的学习管理和教学系统,通过这个系统,学习者可以接触到他们各自所需的学习资源,同时还可以参加课程学习、进行学习活动和交流等。在这个系统框架中,学习资料的制作者将完全掌握资料的上下文、学习资源和课程。目前在这个领域中,有几种不同的方法被广泛研究,如联盟和分布式学习资源库(federatedordistributedlearningrepositories)集中应用在动态性和网络连接方面的研究;学习管理系统(le…     

基于本体的e-Learning环境个性化服务处理方法*

为了向e-Learning环境中的学习者提供符合其个性化需求的学习服务,结合本体论具有概念和关系定义明确的特性,提出了e-Learning环境中学习者的个性化情形本体模型和相应的学习者个性化服务处理方法,该方法综合考虑了学习者的认知状态和学习偏好,进行个性化的答疑和进一步学习的内容推荐。采用该方法实现的原型系统实验表明,可使学习者的学习更有针对性,可更及时有效地消解疑惑,从而提高了学习者的学习效果和效率。     

e-Learning:非典型学习方式

当非典蔓延全国乃至世界,在传统教学模式显得无能为力 的关键时刻,e-Learning历史性地浮出水面,可谓万众瞩目,风 头正劲。它能否以此为契机,乘胜追击,担当起教育模式变革的 重任呢?     

数据挖掘在个性化学习系统中的运用

介绍了一种个性化学习系统，它是远程教育的一种新模式。它针对不同学生的个体差异，为学生提供不同的学习资料。个性化的基础是记录学生的学习过程及学习结果，并对这些数据进行挖掘，分析出学生的个性化特征。该系统就是通过运用数据挖掘技术来研究学生的个性，制订适合学生个性的学习内容，为学生提供个性化服务。数据挖掘技术在网上学习系统中的应用提高了学习系统的个性化服务水平，为系统的决策分析提供了智能的辅助手段。     

数据挖掘在个性化网络学习中的应用

本文分析了传统网络学习系统的现状及其弊端,针对这些问题提出：使用Web数据挖掘技术,对学习者网络学习行为进行分析,在此基础上对学习者网络学习行为进行预测,从而为学习者提供个性化的学习建议,提高学习者的学习效率;同时根据对学习者网络学习行为的数据挖掘结果,改进网站设计。     

Web挖掘在个性化学习网站中的应用

本文介绍了Web挖掘的相关概念,简要分析其主要特点,介绍Web使用模式挖掘的基本流程和数据采集的主要来源,对Web数据挖掘在学习网站中的应用进行探讨。     

数据挖掘在个性化学习系统中的运用

介绍了一种个性化学习系统,它是远程教育的一种新模式.它针对不同学生的个体差异,为学生提供不同的学习资料.个性化的基础是记录学生的学习过程及学习结果,并对这些数据进行挖掘,分析出学生的个性化特征.该系统就是通过运用数据挖掘技术来研究学生的个性,制订适合学生个性的学习内容,为学生提供个性化服务.数据挖掘技术在网上学习系统中的应用提高了学习系统的个性化服务水平,为系统的决策分析提供了智能的辅助手段.     

超媒体环境下的自适应e-Learning平台

<正> 随着网络教育的发展,各种e-learning系统不断问世。然而,这并不意味着将会对传统学习方式进行彻底的革命。因为网络本身只是一种硬件,它只具有信息传输的功能,而e-Learning教学的最终实现还要依赖于网络的软环境,即教学环境的创设。在e-Learning平台的具体买施过程中,大多数系统只是简单地重现书本知识,或者采用多媒体的方式表现知识,并不像在传统教学中,教师能够因材施教,针对不同的学生制定不同     

基于Web的个性化学习系统研究

现代远程教育最重要的特点之一就是能够为学生提供个性化的教育。个性化的现代远程教育将整个教学活动作为一个有机的整体,各教学环节之间有密切的联系。该文以国家现代远程教育支撑软件———管理系统课题为背景,使用数据挖掘技术发现每个学生的个性、学习行为、学习反馈信息和教师感兴趣的有关教学的信息,及时调整教学策略,制定适合学生个性的教学内容和教学活动。     

基于文本挖掘的e-Learning学习评价研究

在e-Learning系统中,对学生学习的评价难以进行。在分析e-Learning环境下学习评价特征的基础上,本文引入电子学档评价方法,提出将文本挖掘技术运用于学习评价,依据学生学习评价量规,实现对学生学习过程的评价。     

Applying web-enabled self-regulated learning and problem-based learning with initiation to involve low-achieving students in learning

Vocational degree earners represent a major portion of the work force in Taiwan. However, vocational education in Taiwan is highly competitive in that it must attract sufficient student enrollment in an environment with a rapidly increasing number of schools. In this context, many vocational students tend to have lower levels of academic achievement. Under such constraints but moving toward more practical orientation, the authors conducted a quasi-experiment to examine the effects of applying web-based self-regulated learning (SRL), web-based problem-based learning (PBL) with initiation, and their combination to help these low-achieving students be involved positively in their learning. Four classes in successive years, with a total of 177 third-year students, were divided into 2 (SRL vs. non-SRL) × 2 (PBL with initiation vs. PBL without initiation) experimental groups. Results were generally positive. The authors further discuss the implications for schools, particularly vocational schools, and for scholars and teachers concerned about e-learning.     

A design to promote group learning in e-learning: Experiences from the field

The Internet enables learners to be brought together where they can cooperate in learning in groups without space and time limitations. It is, however, quite a challenge to form ideal groups in a short time and ensure satisfactory interaction for learners in cyberspace. In this study, we propose a useful grouping method to help teachers improve group-learning in e-learning by first establishing effective groups with rules based on data mining, and then facilitating student interaction using a system that monitors members’ communication status. Field observations and quantitative evidence show the validity and practicability of the proposed method.     

Psychosocial predictors of the use of enhanced podcasting in student learning

The current study examined the influence of psychosocial constructs, from a theory of planned behavior (TPB) perspective, to predict university students’ (N = 159) use of a newly offered on-line learning tool, enhanced podcasts. Pre-semester, students completed questionnaires assessing the TPB predictors (attitude, subjective norm, perceived behavioral control) related to intended enhanced podcast use until the middle of semester. Mid-semester, students completed similar items relating to podcast use until the end of semester. Self-report measures of podcast use were obtained at the middle and end of semester. At both time points, students’ attitudes predicted their intentions and, at the initial time point, subjective norm also predicted intended podcast use. An examination of the beliefs underlying attitudes, the only construct to predict intentions at both time points, revealed differences between those students higher, rather than lower on intentions to use the podcasts, especially for the perceived educational benefits of podcast use later in the semester. Intentions to use enhanced podcasting only predicted self-reported use in the second half of the semester. Overall, this study identified some of the determinants which should be considered by those aiming to encourage student use of novel on-line educational tools.     

e-Learning process management and the e-learning performance: Results of a European empirical study

The aim of this paper was to design and assess a comprehensive model for managing the e-learning process and to define the relationship between systematic implementation of the model, outcomes of certain e-learning aspects and subject of e-learning. The validation of the model was performed by using two questionnaires sent via e-mail to teachers and field experts from the chosen sample of 14 European schools participating in an EU-funded project. Research results imply the existence of a clear link between planning and controlling of the e-learning process and its learning outcomes. On the other hand, no empirical relationship between the e-learning outcomes and the subject of learning has been established. It is believed that the model and its practical implications can be used by institutions engaged in e-learning, or as a process model for introducing e-learning related activities.     

Understanding information systems continuance: The case of Internet-based learning technologies

Our research model expanded the Bhattacherjee's IS continuance model by adding a moderating effect (IS habit) to IS continuance intention and IS continued usage, postulating direct links between satisfaction and IS continued usage, as well as between prior behavior and IS continued usage. The model was tested with an Internet-based learning technology in a longitudinal setting. Data collected from 505 students were examined using partial least squares analysis. The results presented strong support for the theoretical links of IS continuance model, and for the new moderating effect. Both satisfaction and prior behavior were found to have significant impact on IS continuance. In addition, our findings confirmed the theoretical argument that the strength of intention to predict continuance was weakened by a high level of IS habit.     

Developing inclusive e-learning and e-entertainment to effectively accommodate learning difficulties

The real-life training of people with learning difficulties is a highly challenging and demanding process that can be effectively improved with the deployment of special-purpose software instruments. This paper discusses the development and evaluation of two inclusive training applications and two games for people with learning difficulties. Namely, the four developed systems are: (a) a cashier training applications; (b) a sewing training applications; (c) an accessible pong game; and (d) an accessible action game. The main objective of the work was to investigate the hypothesis that computer games, as pleasant, motivating and highly engaging interactive experiences, can have a significant role on improving the training of people with learning difficulties, such as attention deficit disorder or Asperger syndrome. The obtained results are very positive and encouraging, and have led to the identification of new research directions, blending training and playing, via novel training techniques and purpose-specific game genres.

企业应用中移动技术的研究和实现

本文针对移动技术在企业制造管理中的更广泛的应用，围绕建立制造企业的移动信息平台，讨论移动技术选型问题，提出在J2EE构架上建造移动服务应用平台的技术解决方案。     

基于E-learning的ERP系统学习模型研究

企业资源计划系统(ERP)是一个复杂的软件系统,具有功能模块众多、计划编制和数据流转关系复杂、体现的管理思想和方法多样等特点.针对传统ERP学习方法的不足,在分析ERP软件特点和复杂性基础上,基于E-learning理论和Agent技术提出一个ERP系统学习模型-ERPLM学习模型,对模型的体系架构,各类学习信息的表示以及关键Agent的设计和实现进行了详细地分析和论述,并提出了一种基于模糊综合评判的面向目标的学习评价方法.     

An innovative improvement of engineering learning system using computational fluid dynamics concept

An innovative concept of an electronic learning system has been established in an attempt to achieve a technology that provides engineering students with an instructive and affordable framework for learning engineering-related courses. This system utilizes an existing Computational Fluid Dynamics (CFD) package, Active Server Pages programming, Hyper Text Markup Language web page, and a database in the development of a user-friendly interface for the e-learning system. The structure of this learning system includes three components: a pre-processor which creates and defines the problems, a control program which links CFD package; searches for the identical problem with previously executed results or creates a new CFD execution and then saves the results in the database, and a post-processor which yields a graphic presentation of the computational results. This system would provide engineering students with a solid comprehension of the physical phenomena by changing the input parameters of a specific problem.     

Technology for supporting web information search and learning in Sign Language

Sign Languages (SL) are underrepresented in the digital world, which contributes to the digital divide for the Deaf Community. In this paper, our goal is twofold: (1) to review the implications of current SL generation technologies for two key user web tasks, information search and learning and (2) to propose a taxonomy of the technical and functional dimensions for categorizing those technologies. The review reveals that although contents can currently be portrayed in SL by means of videos of human signers or avatars, the debate about how bilingual (text and SL) versus SL-only websites affect signers’ comprehension of hypertext content emerges as an unresolved issue in need of further empirical research. The taxonomy highlights that videos of human signers are ecological but require a high-cost group of experts to perform text to SL translations, video editing and web uploading. Avatar technology, generally associated with automatic text-SL translators, reduces bandwidth requirements and human resources but it lacks reliability. The insights gained through this review may enable designers, educators or users to select the technology that best suits their goals.