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.
{"title":"IPedagogy: Question Answering System Based on Web Information Clustering","authors":"Rivindu Perera","doi":"10.1109/T4E.2012.48","DOIUrl":"https://doi.org/10.1109/T4E.2012.48","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116975165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Indigenous Knowledge and ICT: An Interdisciplinary Approach to Culturally Inclusive Education","authors":"John Loewen, Kinshuk","doi":"10.1109/T4E.2012.54","DOIUrl":"https://doi.org/10.1109/T4E.2012.54","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127210815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Using Org-mode and Subversion for Managing and Publishing Content in Computer Science Courses","authors":"Sankalp Khare, Yishan Misra, Venkatesh Choppella","doi":"10.1109/T4E.2012.58","DOIUrl":"https://doi.org/10.1109/T4E.2012.58","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125052516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Personalized Text Content Summarizer for Mobile Learning: An Automatic Text Summarization System with Relevance Based Language Model","authors":"Guangbing Yang, Dunwei Wen, Kinshuk, N. Chen, E. Sutinen","doi":"10.1109/T4E.2012.23","DOIUrl":"https://doi.org/10.1109/T4E.2012.23","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125331755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Use of an Evolutionary Approach for Question Paper Template Generation","authors":"D. V. Paul, S. B. Naik, P. Rane, J. Pawar","doi":"10.1109/T4E.2012.24","DOIUrl":"https://doi.org/10.1109/T4E.2012.24","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115572269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"From High-School Algebra to Computing through Functional Programming","authors":"Venkatesh Choppella, Hitesh Kumar, Manjula Pidaparty, V. Kasturi","doi":"10.1109/T4E.2012.42","DOIUrl":"https://doi.org/10.1109/T4E.2012.42","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114277398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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).
{"title":"A Recommender System Assisting Instructor in Building Learning Path for Personalized Learning System","authors":"N. Jyothi, K. Bhan, U. Mothukuri, Sandesh Jain, D. Jain","doi":"10.1109/T4E.2012.51","DOIUrl":"https://doi.org/10.1109/T4E.2012.51","url":null,"abstract":"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).","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128414489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Model for Re-ranking Agent on Hybrid Search Engine for E-learning","authors":"Axita Shah, Sonal Jain, Rushabh Chheda, A. Mashru","doi":"10.1109/T4E.2012.55","DOIUrl":"https://doi.org/10.1109/T4E.2012.55","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Promoting Learning of Wikis through Video Tutorials, Mentoring and Hands-On Training Approaches","authors":"S. Kode, Shuchita Rao, Nagaswetha Pavuluri, Vamsi Pullakavi, Rakesh Reddy Tammanagari","doi":"10.1109/T4E.2012.19","DOIUrl":"https://doi.org/10.1109/T4E.2012.19","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125657298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"BuddhiEdge: Taking Education to the Edge","authors":"R. Krishnan, D. Krishnaswamy, Asif Qamar, K. Bijlani, K. Moudgalya","doi":"10.1109/T4E.2012.56","DOIUrl":"https://doi.org/10.1109/T4E.2012.56","url":null,"abstract":"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.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}