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2012 IEEE Fourth International Conference on Technology for Education最新文献

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IPedagogy: Question Answering System Based on Web Information Clustering 基于Web信息聚类的问答系统
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.48
Rivindu Perera
As with the excessive information growth in the web, retrieving the exact segment of information even for a simple query, has transformed to a difficult and resource expensive state. Specially, in e-learning domain it is vital to search knowledge frequently and focusing on a limited well defined search space. IPedagogy is a question answering system which works with natural language powered queries and retrieve answers from selected information clusters by reducing the search space of information retrieval. In addition, IPedagogy is empowered by several natural language processing techniques which direct the system to extract the exact answer for a given query. System is evaluated with the use of mean reciprocal rank and it is noted that system has 0.73 of average accuracy level for 10sets of questions where each set is consisted of 35 questions.
随着web中信息的过度增长,即使是一个简单的查询,检索准确的信息段也变成了一种困难和资源昂贵的状态。特别是在电子学习领域,频繁地搜索知识并集中在有限的定义良好的搜索空间是至关重要的。IPedagogy是一种问答系统,它通过减少信息检索的搜索空间,处理自然语言驱动的查询,从选定的信息集群中检索答案。此外,IPedagogy还被几种自然语言处理技术赋予了能力,这些技术指导系统为给定的查询提取准确的答案。系统使用平均倒数排名进行评估,值得注意的是,系统对10组问题的平均准确率为0.73,每组问题由35个问题组成。
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引用次数: 21
Indigenous Knowledge and ICT: An Interdisciplinary Approach to Culturally Inclusive Education 原住民知识与资讯及通讯科技:文化全纳教育的跨学科方法
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.54
John Loewen, Kinshuk
Indigenous knowledge is the basis for many remote, rural, and marginalized communities in society and as such, is an important component in the educational development of members within these communities. Due to many reasons, including colonization, a lack of understanding by hegemonic societies, and disparate knowledge systems (for example, orally based), there is a risk of this knowledge disappearing completely from many communities. Current literature in this realm is reviewed in this paper, with a focus on how ICT may aid in the gathering, storage, retrieval and inclusion of cultural knowledge in education. From this, some issues and gaps associated with current approaches are identified and an initial interdisciplinary model is proposed to help address these issues.
土著知识是社会中许多偏远、农村和边缘化社区的基础,因此是这些社区成员教育发展的重要组成部分。由于许多原因,包括殖民、霸权社会缺乏理解和不同的知识体系(例如,以口头为基础的),这些知识有从许多社区完全消失的风险。本文回顾了这一领域的现有文献,重点介绍了信息通信技术如何帮助教育中文化知识的收集、存储、检索和包容。由此,确定了与当前方法相关的一些问题和差距,并提出了一个初步的跨学科模型来帮助解决这些问题。
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引用次数: 2
Using Org-mode and Subversion for Managing and Publishing Content in Computer Science Courses 用组织模式和Subversion管理和发布计算机科学课程内容
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.58
Sankalp Khare, Yishan Misra, Venkatesh Choppella
Content creation and management is an inevitable part of teaching a course. This paper describes a novel way of handling this problem using Org-mode, a recently created text based information management tool being used within the Emacs user community. We list certain desirable features, specially for the purposes of computer science courses, such as support for collaborative development and literate programming. We show how Org-mode compares favourably over other approaches like wikis and other content and course management systems. We describe why the combination of Org-mode and version control is suitable for creating and publishing content quickly, with minimum overhead in a collaborative manner.
内容的创造和管理是课程教学中不可避免的一部分。本文描述了一种使用Org-mode处理此问题的新方法,Org-mode是Emacs用户社区中最近创建的基于文本的信息管理工具。我们列出了一些值得期待的特性,特别是为了计算机科学课程的目的,例如支持协作开发和识字编程。我们展示了org模式如何优于其他方法,如wiki和其他内容和课程管理系统。我们描述了为什么组织模式和版本控制的组合适合于快速创建和发布内容,并且以协作的方式以最小的开销。
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引用次数: 0
Personalized Text Content Summarizer for Mobile Learning: An Automatic Text Summarization System with Relevance Based Language Model 面向移动学习的个性化文本内容摘要器:一个基于关联语言模型的自动文本摘要系统
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.23
Guangbing Yang, Dunwei Wen, Kinshuk, N. Chen, E. Sutinen
Although millions of text contents and multimedia published on the Web have potential to be shared as the learning contents for mobile learning, effectively extracting useful information from them is an extremely difficult problem. Oft-decried information overloading is the main issue to impede this potential. Many approaches have been proposed to revise and reinforce content to provide the appropriate delivery for mobile learning. However, approaches of manually converting content to suit the mobile learning require a huge effort on the part of the teachers and the instructional designers. Automatic text summarization can reduce this cost significantly, but it may have negative impact on the understanding of the meaning conveyed, as well as the risk of producing a standard summary for all learners without reflecting their interests and preferences. In this paper, a personalized text-based content summarizer is introduced to address an approach to help mobile learners to retrieve and process information more quickly, based on their interests and preferences. In this work, probabilistic language modeling techniques are adapted to build a user model and an extractive text summarization system to generate the personalized and automatic summary for mobile learning. Experimental results have indicated that the proposed solution provides a proper and efficient approach to help mobile learners by summarizing important content quickly and adaptively.
虽然网络上发布的数以百万计的文本内容和多媒体具有作为移动学习的学习内容共享的潜力,但有效地从中提取有用信息是一个极其困难的问题。经常受到谴责的信息超载是阻碍这种潜力的主要问题。已经提出了许多方法来修改和加强内容,为移动学习提供适当的交付。然而,手动转换内容以适应移动学习的方法需要教师和教学设计师付出巨大的努力。自动文本摘要可以显著降低这种成本,但它可能会对所传达的意义的理解产生负面影响,以及为所有学习者生成标准摘要而没有反映他们的兴趣和偏好的风险。本文介绍了一种基于文本的个性化内容摘要器,旨在帮助移动学习者根据自己的兴趣和偏好更快地检索和处理信息。在这项工作中,采用概率语言建模技术来构建用户模型和提取文本摘要系统,以生成个性化和自动的移动学习摘要。实验结果表明,该方法为移动学习者提供了一种快速、自适应地总结重要内容的有效方法。
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引用次数: 23
Use of an Evolutionary Approach for Question Paper Template Generation 使用进化方法生成试卷模板
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.24
D. V. Paul, S. B. Naik, P. Rane, J. Pawar
This paper focuses on question paper template generation and its use in dynamic generation of examination question paper. Question paper template generation is a constrained based optimization problem. Choosing an efficient, scientific and rational algorithm to generate a template is the key to dynamic examination question paper generation. By using the evolutionary computational search technique of evolutionary programming and educational taxonomies, this paper analyses and experimentally proves that the generated question paper templates are best suited for dynamic examination paper generation. This new technique outperforms traditional algorithms in terms of coverage of topics, learning domains and marks distribution in the generated question paper.
本文主要研究试卷模板的生成及其在试卷动态生成中的应用。试卷模板生成是一个基于约束的优化问题。选择一种高效、科学、合理的算法生成模板是试卷动态生成的关键。利用进化规划和教育分类法的进化计算搜索技术,分析并实验证明了生成的试卷模板最适合于动态试卷生成。这种新技术在主题覆盖、学习领域和生成试卷的分数分布方面优于传统算法。
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引用次数: 15
From High-School Algebra to Computing through Functional Programming 从高中代数到函数式编程计算
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.42
Venkatesh Choppella, Hitesh Kumar, Manjula Pidaparty, V. Kasturi
The objective of this paper is to suggest a fresh approach to introductory programming curricula in the Indian school and engineering college context. The approach allows the student to connect high-school (up to 10+2) mathematics to the fundamentals of computing, algorithms and problem solving. The bridge connecting algebra and computing is functional programming, a paradigm confined over forty years to the computer science research community but now gaining popularity in industry as well as undergraduate education in some schools across the world. We show, using several examples, why and how functional programming is easier to master than traditional imperative programming. We conclude with the results of our attempts so far at introducing functional programming to students in IT colleges in India.
本文的目的是在印度学校和工程学院的背景下,提出一种新的方法来介绍程序设计课程。这种方法允许学生将高中(最多10+2)数学与计算、算法和解决问题的基础知识联系起来。连接代数和计算的桥梁是函数式编程,这一范式在计算机科学研究界被限制了40多年,但现在在工业和世界各地一些学校的本科教育中越来越受欢迎。我们用几个例子来说明为什么函数式编程比传统的命令式编程更容易掌握。最后,我们将介绍到目前为止向印度IT学院的学生介绍函数式编程的结果。
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引用次数: 0
A Recommender System Assisting Instructor in Building Learning Path for Personalized Learning System 帮助教师构建个性化学习系统学习路径的推荐系统
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.51
N. Jyothi, K. Bhan, U. Mothukuri, Sandesh Jain, D. Jain
Recent years witnessed a huge demand of personalization in the e-learning system tailoring the learning services based on the characteristics of individual learners. Learner's knowledge, style of learning, and individual preferences play a vital role in offering personalized learning services. Existing learning systems investigated various data mining methods in order to cluster students based on their learning style. These systems cannot provide accurate results using smaller data sets in building models that can generate new clusters based on the historical data. The aim of this paper is to propose a Recommendation system to assist the instructor in identifying the groups of learners who have similar learning styles and provide specialized advices to these clusters of learners. This paper focuses on analyzing the learning styles identified by Felder-Silverman learning style model (FSLSM).
近年来,网络学习系统的个性化需求越来越大,需要根据学习者个体的特点定制个性化的学习服务。学习者的知识、学习方式和个人偏好在提供个性化学习服务方面起着至关重要的作用。现有的学习系统研究了各种数据挖掘方法,以便根据学生的学习风格对他们进行聚类。这些系统不能在构建模型时使用较小的数据集来提供准确的结果,而这些模型可以基于历史数据生成新的集群。本文的目的是提出一个推荐系统,以帮助教师识别具有相似学习风格的学习者群体,并为这些学习者群体提供专业建议。本文主要对费尔德-西尔弗曼学习风格模型(FSLSM)所识别的学习风格进行分析。
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引用次数: 23
Model for Re-ranking Agent on Hybrid Search Engine for E-learning 面向电子学习的混合搜索引擎Agent重新排序模型
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.55
Axita Shah, Sonal Jain, Rushabh Chheda, A. Mashru
The Web provides an enormous amount of learning tutorials. Searching standard content is not easy for common user of traditional search engine. The user only focuses on the top results from the enormous quantity of the arrived results. So the Re-ranking problem turns into the significant responsibility for the search systems. This paper proposes a novel model of Re-ranking Agent on Hybrid search engine (Meta-search engine and Topical search engine) for helping learners searching online Learning tutorials efficiently and in the effective way. With the aim of providing users with relevant tutorials we have proposed model classified by subject topic, prepared by professional persons and preferred by learners.
网络提供了大量的学习教程。对于传统搜索引擎的普通用户来说,搜索标准内容并不容易。用户只会从大量到达的结果中关注最前面的结果。因此,重新排序问题成为搜索系统的重要责任。本文提出了一种基于混合搜索引擎(元搜索引擎和主题搜索引擎)的重新排序代理模型,以帮助学习者高效、有效地搜索在线学习教程。为了给用户提供相关的教程,我们提出了按主题分类的模型,由专业人员编写,学习者首选。
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引用次数: 3
Promoting Learning of Wikis through Video Tutorials, Mentoring and Hands-On Training Approaches 通过视频教程、指导和实践培训方法促进维基学习
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.19
S. Kode, Shuchita Rao, Nagaswetha Pavuluri, Vamsi Pullakavi, Rakesh Reddy Tammanagari
Technology is changing and at a very rapid pace. New tools are being developed and coming to the forefront on almost a daily basis. Instructor-led workshops that train faculty and students in the use of new tools can be expensive propositions for educational institutions. Scalability and ensuring uniformity in delivery of content become challenges. To address the problem of making the training cost-effective and to facilitate self-paced, independent learning in large groups, EnhanceEdu employed three different training approaches to provide hands-on workshops in the use of the open source tool, MediaWiki, to an audience of students and teachers from various colleges in India. This paper describes the three approaches employed in conducting the hands-on workshops. It also determines the factors that contribute toparticipants' engagement in learning and the likelihood that they will continue to use the new tool.
技术正在以非常快的速度变化。几乎每天都有新的工具被开发出来。由讲师指导的培训教师和学生使用新工具的讲习班对教育机构来说可能是昂贵的提议。可伸缩性和确保内容交付的一致性成为挑战。为了解决使培训具有成本效益的问题,并促进在大群体中自主学习,EnhanceEdu采用了三种不同的培训方法,为来自印度各学院的学生和教师提供了使用开源工具MediaWiki的实践研讨会。这篇论文描述了在进行实践研讨会中所采用的三种方法。它还决定了促进参与者参与学习的因素,以及他们继续使用新工具的可能性。
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引用次数: 3
BuddhiEdge: Taking Education to the Edge 佛教边缘:把教育带到边缘
Pub Date : 2012-07-18 DOI: 10.1109/T4E.2012.56
R. Krishnan, D. Krishnaswamy, Asif Qamar, K. Bijlani, K. Moudgalya
BuddhiEdge is a distributed system leveraging compute, storage and networking resources at the edge of an educational network to better serve end users at the edge of the network. Educational content is delivered either from the cloud or from edge servers to edge clients. Distributed educational content storage and edge content delivery help in scaling the number of users that can be concurrently served, and, in improving thequality of experience for end users.
budhiedge是一个分布式系统,利用教育网络边缘的计算、存储和网络资源,更好地服务于网络边缘的最终用户。教育内容要么从云交付,要么从边缘服务器交付到边缘客户机。分布式教育内容存储和边缘内容交付有助于扩展可同时服务的用户数量,并提高最终用户的体验质量。
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引用次数: 2
期刊
2012 IEEE Fourth International Conference on Technology for Education
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