E-Learning:网络时代的教师培训模式探究

21世纪是知识和信息资讯爆炸的E时代。传统的教师培训模式由于其固有的矛盾，已不能适应E时代的需要，基于网络的e—kanling培训模式具有与时俱进性、人本性、主体性、过程性等特点，是网络时代教师培训的必然趋势．同时e—kanling培训模式下的内容设置、人际交流、学习管理平台也是非常值得我们思考的问题。     

技术在高等教育中的应用——访e-Learning领域资深专家黛安娜·劳里劳德教授

近年来,技术在教育中的应用日益成为教育领域关注的话题,也涌现了很多致力于将技术应用于教育的研究者和实践者。我们本期专访的黛安娜.劳瑞劳德(Diana Laurillard)教授就是这样一位横跨多个教育实践领域、建树颇丰的学者,她曾先后供职于英国萨里大学、英国开放大学、英国教育和能力部、伦敦大学等机构,积累了大量的、丰富的实践经验,对技术在教育中的应用有着独特的认识。她曾被联合国教科文组织前助理总干事约翰.丹尼尔爵士高度评价为世界上对学习技术的作用保持最清醒头脑的人士之一。     

基于开放课件的图书馆e-Learning服务研究

概述开放课件资源的起源、特征，深入分析其对e-Learning的支撑作用;结合 图书馆的发展现状与功能特征，阐明图书馆开展e-Learning服务的可行性，并从收集、 整合、组织开放课件资源，建设e-Learning门户，整合e-Learning服务与学科知识服务 等方面，探究图书馆利用开放课件资源提供e-Learning服务的措施。     

Test-Run of the Live Global Classroom

How can we make it possible for instructors and students from different countries and regions to meet"face-to-face"and experience live teaching and learning?The most economic and efficient solution is the"live global classroom".This paper provides an example of the live global classroom approach conducted cooperatively by the American Alliance for International Education and the University of Science and Technology Beijing,which was aimed at educating undergraduate engineering students over the Internet.In this paper,we introduce the background for the live global classroom,the demands of the"Plan for Educating and Training Outstanding Engineers"in China,the operational model,the technical requirements for the project and its current organizational challenges.Internationalized e-learning is expected to lead the trend of remote teaching,not only in language learning but also in engineer educating in China.     

数字化学习的新进展:学习文化与学习范式的双重变革

伴随着互联网技术的日新月异和多元化理论的不断涌现,数字化学习在经历了十多年波澜不惊的成长之后,进入到波谲云诡的第二发展阶段,即e-Learning 2.0时代。这意味着学习文化与学习范式必然发生相应的变革,学习文化的变革体现为学习的广泛性、终身性、随意性、创新性以及非正式性。学习范式的变革则体现为从接受到参与,从观察到主动实施,从过程导向到绩效与能力导向,从预先设计到自我设计,从接受者到开发者。在学习文化与学习范式的双重变革作用下,数字化学习评价也涌现出诸多新形态,包括基于教学目标的自我评价、基于电子档案袋的教学评价、基于社会性网络的社会化评价以及基于评价工具的质量评价,为高等教育教学改革的不断推进和深入提供了丰富的策略支持。     

知识发现在网络教学系统中的应用研究进展

网络教学系统中汇集了大量数字化信息,充分利用这些信息进行知识发现以支持教学决策,日渐成为网络教学系统开发的重要思路。本文对近几年的相关研究展开文献调研,揭示了知识发现在网络教学中应用的研究进展,包括国内外研究现状、研究内容、研究热点和趋势等,这将为勾勒网络教学中知识发现应用的整体框架提供前期性的基础研究。     

Do Enhanced Communication Technologies Inhibit or Facilitate Self-regulated Learning?

The assumption tested here is whether the introduction of enhanced communication technologies in the form of high-speed broadband connectivity has removed or ameliorated any of the barriers to efficient and effective teaching and learning.ⁱ
Evidence is presented of how enhanced communication technologies have facilitated self-regulated learning. The examples are drawn from a range of subject areas in secondary (11–18 years) and primary (5–11 years) schools in the UK. Evidence is also presented of the new challenges to self-regulated learning that are created by enhanced communication technologies, for example, non-selective searching, plagiarism and issues of filtering.
Case studies were developed in 37 schools in the public sector, from rural and urban areas. Field workers conducted interviews with teachers and made classroom observations. Further interviews were also conducted with headteachers and ICT coordinators.
These studies showed some outstanding examples of students taking ownership of the learning process. However, these enhanced communication technologies raised concerns for school management, for teacher workloads and for the parents. These findings are not parochial. International comparisons indicate that we are studying a trans-national phenomenon. Similarly, costs and benefits of such technologies are not sector specific; the outcomes of this research can inform debate in higher education.     

e-学习的理论内涵及实践价值

本文从技术角度、技术内涵的扩大化角度、学习观念角度、综合角度等方面介绍了关于e-学习的理解,并且从其内涵以及相关实践中总结了e-学习的实践价值所在,例如成本-效率、服务、速度和可持续性等.     

Heuristic task analysis on e-learning course development: a formative research study

Utilizing heuristic task analysis (HTA), a method developed for eliciting, analyzing, and representing expertise in complex cognitive tasks, a formative research study was conducted on the task of e-learning course development to further improve the HTA process. Three instructional designers from three different post-secondary institutions in the U.S. were selected for interviews. The interviews focused on three e-learning course development cases (one from each institution), and the participants were asked to articulate their underlying thoughts and principles for designing e-learning courses. Overall, the HTA process worked well in the sense that the study could elicit procedural steps and sub-steps involved in e-learning course development and heuristic knowledge with which the instructional designers performed each step. On the surface, the e-learning course development processes that the instructional designers used looked more alike than different, entailing major steps such as meeting with faculty, developing content, monitoring courses in progress, and debriefing the instructor and students. The underlying principles and knowledge that guided each instructional designer through the processes, however, were unique in that each instructional designer constructed her own heuristics to accommodate the myriad contextual factors that arose in her work setting. The study also discussed the challenge of identifying the simplest yet most representative e-learning course development case with multiple experts and suggestions for further improving the HTA process were also presented.

User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach

Internet evolution has affected all industrial, commercial, and especially learning activities in the new context of e-learning. Due to cost, time, or flexibility e-learning has been adopted by participators as an alternative training method. By development of computer-based devices and new methods of teaching, e-learning has emerged. The effectiveness of such programs is dependent on powerful learning management systems. In this paper, a neuro-fuzzy approach is proposed based on an evolutionary technique to obtain an optimal learning path for both instructor and learner. The neuro-fuzzy synergy allows the diagnostic model to imitate instructor in diagnosing learners’ characteristics, and equips the intelligent learning environment with reasoning capabilities. These reasoning capabilities can be used to drive pedagogical decisions based on the learning style of the learner. The neuro-fuzzy implementation helps to encode both structured and non-structured knowledge for the instructor. On the other hand, for learners, the neural network approach has been applied to make personalized curriculum profile based on individual learner requirements in a fuzzy environment.