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<title>Most recent issue published online for the International Journal of Continuing Engineering Education and Life-Long Learning.</title>
<description>International Journal of Continuing Engineering Education and Life-Long Learning</description>
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<title>International Journal of Continuing Engineering Education and Life-Long Learning</title>
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<link>http://www.inderscience.com/browse/index.php?journalID=6&amp;year=2011&amp;vol=21&amp;issue=4</link>
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<title>Ascertaining and graphically representing the logical structure of Japanese essays</title>
<link>http://www.inderscience.com/link.php?id=42788</link>
<description>To more accurately assess the logical structure of Japanese essays, we have devised a technique that uses end&#45;of&#45;sentence modality and demonstrative pronouns referencing earlier paragraphs as indicators of structure in addition to the conjunctive expressions that have hitherto often been used. This technique will yield better results because conjunctive expressions are intentionally avoided in Japanese. We applied this method to the editorial and commentary &#40;Yoroku&#41; columns of the Mainichi Daily newspaper and used it to represent the structure and development of the arguments made by these articles in the form of constellation diagrams, which are used in the field of statistics. We found that the method that does not rely on conjunctive expressions is useful, and the graphical representations are helpful for comprehending the overall flow of the discussion and ascertaining temporal changes in the logical structure of a written essay.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42788"><b>Ascertaining and graphically representing the logical structure of Japanese essays</b></A><br />Tsunenori Ishioka<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 276 - 288</i><br />To more accurately assess the logical structure of Japanese essays, we have devised a technique that uses end&#45;of&#45;sentence modality and demonstrative pronouns referencing earlier paragraphs as indicators of structure in addition to the conjunctive expressions that have hitherto often been used. This technique will yield better results because conjunctive expressions are intentionally avoided in Japanese. We applied this method to the editorial and commentary &#40;Yoroku&#41; columns of the Mainichi Daily newspaper and used it to represent the structure and development of the arguments made by these articles in the form of constellation diagrams, which are used in the field of statistics. We found that the method that does not rely on conjunctive expressions is useful, and the graphical representations are helpful for comprehending the overall flow of the discussion and ascertaining temporal changes in the logical structure of a written essay.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042788</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 276 - 288</dc:source>
<dc:creator>Tsunenori Ishioka</dc:creator>
<dc:contributor>The National Centre for University Entrance Examinations, 2&#45;19&#45;23 Komaba, Meguro&#45;ku, Tokyo 153&#45;8501, Japan</dc:contributor>
<dc:subject>logical structures</dc:subject>
<dc:subject>Japanese</dc:subject>
<dc:subject>language</dc:subject>
<dc:subject>Japan</dc:subject>
<dc:subject>written essays</dc:subject>
<dc:subject>automated scoring systems</dc:subject>
<dc:subject>essay scoring systems</dc:subject>
<dc:subject>graphical representations</dc:subject>
<dc:subject>constellation diagrams</dc:subject>
<dc:subject>information compilation</dc:subject>
<dc:subject>modality</dc:subject>
<dc:subject>natural language processing</dc:subject>
<dc:subject>end&#45;of&#45;sentence</dc:subject>
<dc:subject>demonstrative pronouns</dc:subject>
<dc:subject>paragraphs</dc:subject>
<dc:subject>grammar</dc:subject>
<dc:subject>conjunctive expressions</dc:subject>
<dc:subject>structural indicators</dc:subject>
<dc:subject>newspapers</dc:subject>
<dc:subject>editorials</dc:subject>
<dc:subject>journalist commentaries</dc:subject>
<dc:subject>Yoroku</dc:subject>
<dc:subject>Mainichi Daily News</dc:subject>
<dc:subject>argument structures</dc:subject>
<dc:subject>statistics</dc:subject>
<dc:subject>discussions</dc:subject>
<dc:subject>temporal changes</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>276</prism:startingPage>
<prism:endingPage>288</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
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<item rdf:about="http://dx.doi.org/10.1504/IJCEELL.2011.042789">
<title>Service&#45;oriented flexible and interoperable assessment&#58; towards a standardised e&#45;assessment system</title>
<link>http://www.inderscience.com/link.php?id=42789</link>
<description>Free&#45;text answers assessment has been a field of interest during the last 50 years. Several free&#45;text answers assessment tools underpinned by different techniques have been developed. In most cases, the complexity of the underpinned techniques has caused those tools to be designed and developed as stand&#45;alone tools. The rationales behind using computers to assist learning assessment are mainly to save time and cost, as well as to reduce staff workload. However, utilising free&#45;text answers assessment tools separately form the learning environment may increase the staff workload and increase the complexity of the assessment process. Therefore, free&#45;text answers scorers have to have a flexible design to be integrated within the context of the e&#45;assessment system architectures taking advantages of software&#45;as&#45;a&#45;service architecture. Moreover, flexible and interoperable e&#45;assessment architecture has to be utilised in order to facilitate this integration. This paper discusses the importance of flexible and interoperable e&#45;assessment. Moreover, it proposes a service&#45;oriented flexible and interoperable architecture for futuristic e&#45;assessment systems. Nevertheless, it shows how such architecture can foster the e&#45;assessment process in general and the free&#45;text answers assessment in particular.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42789"><b>Service&#45;oriented flexible and interoperable assessment&#58; towards a standardised e&#45;assessment system</b></A><br />Mohammad AL&#45;Smadi, Christian Guetl<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 289 - 307</i><br />Free&#45;text answers assessment has been a field of interest during the last 50 years. Several free&#45;text answers assessment tools underpinned by different techniques have been developed. In most cases, the complexity of the underpinned techniques has caused those tools to be designed and developed as stand&#45;alone tools. The rationales behind using computers to assist learning assessment are mainly to save time and cost, as well as to reduce staff workload. However, utilising free&#45;text answers assessment tools separately form the learning environment may increase the staff workload and increase the complexity of the assessment process. Therefore, free&#45;text answers scorers have to have a flexible design to be integrated within the context of the e&#45;assessment system architectures taking advantages of software&#45;as&#45;a&#45;service architecture. Moreover, flexible and interoperable e&#45;assessment architecture has to be utilised in order to facilitate this integration. This paper discusses the importance of flexible and interoperable e&#45;assessment. Moreover, it proposes a service&#45;oriented flexible and interoperable architecture for futuristic e&#45;assessment systems. Nevertheless, it shows how such architecture can foster the e&#45;assessment process in general and the free&#45;text answers assessment in particular.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042789</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 289 - 307</dc:source>
<dc:creator>Mohammad AL&#45;Smadi</dc:creator>
<dc:creator>Christian Guetl</dc:creator>
<dc:contributor>Graz University of Technology, Infeldgasse 16c, 8010 &amp;ndash; Graz, Austria. &#39; Graz University of Technology, Infeldgasse 16c, 8010 &amp;ndash; Graz, Austria; Curtin Business School, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia</dc:contributor>
<dc:subject>e&#45;assessment</dc:subject>
<dc:subject>electronic assessment</dc:subject>
<dc:subject>free&#45;text answers</dc:subject>
<dc:subject>middleware</dc:subject>
<dc:subject>learning tools</dc:subject>
<dc:subject>interoperability</dc:subject>
<dc:subject>SOA</dc:subject>
<dc:subject>software engineering</dc:subject>
<dc:subject>service&#45;oriented architecture</dc:subject>
<dc:subject>SaaS</dc:subject>
<dc:subject>software as a service</dc:subject>
<dc:subject>flexible assessment</dc:subject>
<dc:subject>interoperable assessment</dc:subject>
<dc:subject>standardised systems</dc:subject>
<dc:subject>stand&#45;alone tools</dc:subject>
<dc:subject>computers</dc:subject>
<dc:subject>learning assessments</dc:subject>
<dc:subject>time saving</dc:subject>
<dc:subject>cost saving</dc:subject>
<dc:subject>staff workloads</dc:subject>
<dc:subject>workload reduction</dc:subject>
<dc:subject>learning environments</dc:subject>
<dc:subject>complexity</dc:subject>
<dc:subject>answer scorers</dc:subject>
<dc:subject>flexible design</dc:subject>
<dc:subject>interoperable architecture</dc:subject>
<dc:subject>standards</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>289</prism:startingPage>
<prism:endingPage>307</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
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<item rdf:about="http://dx.doi.org/10.1504/IJCEELL.2011.042790">
<title>The concept map&#45;based assessment system&#58; functional capabilities, evolution, and experimental results</title>
<link>http://www.inderscience.com/link.php?id=42790</link>
<description>The paper is devoted to the concept map&#45;based intelligent assessment system that promotes students&#39; knowledge self&#45;assessment and supports teachers in improvement of study courses through systematic assessment and analysis of students&#39; knowledge on the basis of concept maps. During the last five years, both the system&#39;s functionality and knowledge assessment approach were improved persistently, and at the moment, certain level of maturity is reached in both directions. The paper focuses on general principles of functioning of the last prototype, tasks provided, teachers&#39; and students&#39; support, scoring and adaptation mechanisms. At the end of the paper, retrospection of the system&#39;s evolution and evaluation results is provided.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42790"><b>The concept map&#45;based assessment system&#58; functional capabilities, evolution, and experimental results</b></A><br />Alla Anohina&#45;Naumeca, Janis Grundspenkis, Maija Strautmane<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 308 - 327</i><br />The paper is devoted to the concept map&#45;based intelligent assessment system that promotes students&#39; knowledge self&#45;assessment and supports teachers in improvement of study courses through systematic assessment and analysis of students&#39; knowledge on the basis of concept maps. During the last five years, both the system&#39;s functionality and knowledge assessment approach were improved persistently, and at the moment, certain level of maturity is reached in both directions. The paper focuses on general principles of functioning of the last prototype, tasks provided, teachers&#39; and students&#39; support, scoring and adaptation mechanisms. At the end of the paper, retrospection of the system&#39;s evolution and evaluation results is provided.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042790</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 308 - 327</dc:source>
<dc:creator>Alla Anohina&#45;Naumeca</dc:creator>
<dc:creator>Janis Grundspenkis</dc:creator>
<dc:creator>Maija Strautmane</dc:creator>
<dc:contributor>Department of Systems Theory and Design, Riga Technical University, 1 Kalku Street, Riga, LV&#45;1658, Latvia. &#39; Department of Systems Theory and Design, Riga Technical University, 1 Kalku Street, Riga, LV&#45;1658, Latvia. &#39; Department of Systems Theory and Design, Riga Technical University, 1 Kalku Street, Riga, LV&#45;1658, Latvia</dc:contributor>
<dc:subject>concept maps</dc:subject>
<dc:subject>computer&#45;based assessment</dc:subject>
<dc:subject>intelligent knowledge assessment systems</dc:subject>
<dc:subject>functional capabilities</dc:subject>
<dc:subject>system evolution</dc:subject>
<dc:subject>experimental results</dc:subject>
<dc:subject>student knowledge</dc:subject>
<dc:subject>self&#45;assessment</dc:subject>
<dc:subject>teachers</dc:subject>
<dc:subject>educational support</dc:subject>
<dc:subject>systematic assessment</dc:subject>
<dc:subject>knowledge analysis</dc:subject>
<dc:subject>student support</dc:subject>
<dc:subject>scoring mechanisms</dc:subject>
<dc:subject>adaptation mechanisms</dc:subject>
<dc:subject>evaluation results</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>308</prism:startingPage>
<prism:endingPage>327</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJCEELL.2011.042791">
<title>The representation of polysemy through vectors&#58; some building blocks for constructing models and applications with LSA</title>
<link>http://www.inderscience.com/link.php?id=42791</link>
<description>The problem of the multiplicity of word meanings has preoccupied so many researches from the linguistics, psychology or computational linguistic. In this paper, we revised how LSA represents the polysemous words and we explain some bias related with the meaning generation and revised some constraint&#45;satisfaction models which introduce into the equation some dynamic mechanisms. The idea of these models is to take the amalgamated word vector from LSA and embed it into its discourse and semantic context, and by means of a dynamic mechanism, the appropriate features of it is are selected. To illustrate our arguments, we present some networks, providing evidence that polysemous words have separated representations for each sense only in presence of the linguistic context that involved it. We also present an example of how these mechanisms also contribute to support the visual heuristic searches in the visual information retrieval interfaces &#40;VIRIs&#41;.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42791"><b>The representation of polysemy through vectors&#58; some building blocks for constructing models and applications with LSA</b></A><br />Guillermo Jorge&#45;Botana, Jose A. Leon, Ricardo Olmos, Inmaculada Escudero<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 328 - 342</i><br />The problem of the multiplicity of word meanings has preoccupied so many researches from the linguistics, psychology or computational linguistic. In this paper, we revised how LSA represents the polysemous words and we explain some bias related with the meaning generation and revised some constraint&#45;satisfaction models which introduce into the equation some dynamic mechanisms. The idea of these models is to take the amalgamated word vector from LSA and embed it into its discourse and semantic context, and by means of a dynamic mechanism, the appropriate features of it is are selected. To illustrate our arguments, we present some networks, providing evidence that polysemous words have separated representations for each sense only in presence of the linguistic context that involved it. We also present an example of how these mechanisms also contribute to support the visual heuristic searches in the visual information retrieval interfaces &#40;VIRIs&#41;.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042791</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 328 - 342</dc:source>
<dc:creator>Guillermo Jorge&#45;Botana</dc:creator>
<dc:creator>Jose A. Leon</dc:creator>
<dc:creator>Ricardo Olmos</dc:creator>
<dc:creator>Inmaculada Escudero</dc:creator>
<dc:contributor>Departamento de Psicologia Basica, Facultad de Psicologia, Universidad Autonoma de Madrid, Campus de Cantoblanco, 28049 &amp;ndash; Madrid, Spain. &#39; Departamento de Psicologia Basica, Facultad de Psicologia, Universidad Autonoma de Madrid, Campus de Cantoblanco, 28049 &amp;ndash; Madrid, Spain. &#39; Departamento de Psicologia Basica, Facultad de Psicologia, Universidad Autonoma de Madrid, Campus de Cantoblanco, 28049 &amp;ndash; Madrid, Spain. &#39; Departamento de Psicologia Evolutiva y de la Educacion, Facultad de Psicologia, UNED, C&#47; Juan del Rosal, 10, 28040 &amp;ndash; Madrid, Spain</dc:contributor>
<dc:subject>latent semantic analysis</dc:subject>
<dc:subject>LSA</dc:subject>
<dc:subject>polysemy</dc:subject>
<dc:subject>lexical representation</dc:subject>
<dc:subject>linguistic contexts</dc:subject>
<dc:subject>lexical semantics</dc:subject>
<dc:subject>computational linguistics</dc:subject>
<dc:subject>predication</dc:subject>
<dc:subject>discourse comprehension</dc:subject>
<dc:subject>psycholinguistics</dc:subject>
<dc:subject>ambiguity</dc:subject>
<dc:subject>semantic networks</dc:subject>
<dc:subject>visual information retrieval interfaces</dc:subject>
<dc:subject>VIRIs</dc:subject>
<dc:subject>word meanings</dc:subject>
<dc:subject>polysemous words</dc:subject>
<dc:subject>constraint&#45;satisfaction models</dc:subject>
<dc:subject>dynamic mechanisms</dc:subject>
<dc:subject>amalgamated vectors</dc:subject>
<dc:subject>word vectors</dc:subject>
<dc:subject>visual searches</dc:subject>
<dc:subject>heuristic searches</dc:subject>
<dc:subject>word sense</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>328</prism:startingPage>
<prism:endingPage>342</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJCEELL.2011.042792">
<title>Using latent semantic analysis to enhance the comprehensibility of hypertext systems</title>
<link>http://www.inderscience.com/link.php?id=42792</link>
<description>Hypertext documents are pieces or nodes of information connected to each other through hyperlinks, which is the basis for more complex learning technologies as e&#45;learning platforms or electronic encyclopaedias. Because of its extensive use, there is a need for procedures and techniques that help authors to enhance the comprehensibility of hypertext. This paper presents a number of cognitive models that explain how learners navigate and comprehends hypertext documents. The CoLiDeS and CoLiDeS&#43; models describe how people navigate when they try to find specific information, while the hypertext comprehension model addresses knowledge acquisition when their goal is to comprehend hypertext contents. Some problems predicted by these models that affect the comprehensibility of hypertexts are discussed. In addition, a number of procedures are described that uses latent semantic analysis &#40;LSA&#41; free&#45;text tools in order to assess and improve their usability and comprehensibility.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42792"><b>Using latent semantic analysis to enhance the comprehensibility of hypertext systems</b></A><br />R. Ignacio Madrid, Jose J. Canas<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 343 - 354</i><br />Hypertext documents are pieces or nodes of information connected to each other through hyperlinks, which is the basis for more complex learning technologies as e&#45;learning platforms or electronic encyclopaedias. Because of its extensive use, there is a need for procedures and techniques that help authors to enhance the comprehensibility of hypertext. This paper presents a number of cognitive models that explain how learners navigate and comprehends hypertext documents. The CoLiDeS and CoLiDeS&#43; models describe how people navigate when they try to find specific information, while the hypertext comprehension model addresses knowledge acquisition when their goal is to comprehend hypertext contents. Some problems predicted by these models that affect the comprehensibility of hypertexts are discussed. In addition, a number of procedures are described that uses latent semantic analysis &#40;LSA&#41; free&#45;text tools in order to assess and improve their usability and comprehensibility.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042792</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 343 - 354</dc:source>
<dc:creator>R. Ignacio Madrid</dc:creator>
<dc:creator>Jose J. Canas</dc:creator>
<dc:contributor>Cognitive Ergonomics Group, Department of Experimental Psychology, University of Granada, Campus de Cartuja S&#47;N, 18071 Granada, Spain. &#39; Cognitive Ergonomics Group, Department of Experimental Psychology, University of Granada, Campus de Cartuja S&#47;N, 18071 Granada, Spain</dc:contributor>
<dc:subject>hypertext comprehensibility</dc:subject>
<dc:subject>cognitive modelling</dc:subject>
<dc:subject>web navigation</dc:subject>
<dc:subject>free&#45;text assessment</dc:subject>
<dc:subject>latent semantic analysis</dc:subject>
<dc:subject>LSA</dc:subject>
<dc:subject>web usability</dc:subject>
<dc:subject>internet</dc:subject>
<dc:subject>world wide web</dc:subject>
<dc:subject>hypertext systems</dc:subject>
<dc:subject>hypertext documents</dc:subject>
<dc:subject>information nodes</dc:subject>
<dc:subject>hyperlinks</dc:subject>
<dc:subject>complex technologies</dc:subject>
<dc:subject>learning technologies</dc:subject>
<dc:subject>e&#45;learning platforms</dc:subject>
<dc:subject>electronic learning</dc:subject>
<dc:subject>online learning</dc:subject>
<dc:subject>electronic encyclopaedias</dc:subject>
<dc:subject>knowledge acquisition</dc:subject>
<dc:subject>CoLiDeS</dc:subject>
<dc:subject>comprehension&#45;based models</dc:subject>
<dc:subject>linked models</dc:subject>
<dc:subject>deliberated searches</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>343</prism:startingPage>
<prism:endingPage>354</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJCEELL.2011.042793">
<title>Integrating parallel analysis modules to evaluate the meaning of answers to reading comprehension questions</title>
<link>http://www.inderscience.com/link.php?id=42793</link>
<description>Contextualised, meaning&#45;based interaction in the foreign language is widely recognised as crucial for second language acquisition. Correspondingly, current exercises in foreign language teaching generally require students to manipulate both form and meaning. For intelligent language tutoring systems to support such activities, they thus must be able to evaluate the appropriateness of the meaning of a learner response for a given exercise. We discuss such a content&#45;assessment approach, focusing on reading comprehension exercises. We pursue the idea that a range of simultaneously available representations at different levels of complexity and linguistic abstraction provide a good empirical basis for content assessment. We show how an annotation&#45;based NLP architecture implementing this idea can be realised and that it successfully performs on a corpus of authentic learner answers to reading comprehension questions. To support comparison and sustainable development on content assessment, we also define a general exchange format for such exercise data.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=42793"><b>Integrating parallel analysis modules to evaluate the meaning of answers to reading comprehension questions</b></A><br />Detmar Meurers, Ramon Ziai, Niels Ott, Stacey M. Bailey<br /><i>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 355 - 369</i><br />Contextualised, meaning&#45;based interaction in the foreign language is widely recognised as crucial for second language acquisition. Correspondingly, current exercises in foreign language teaching generally require students to manipulate both form and meaning. For intelligent language tutoring systems to support such activities, they thus must be able to evaluate the appropriateness of the meaning of a learner response for a given exercise. We discuss such a content&#45;assessment approach, focusing on reading comprehension exercises. We pursue the idea that a range of simultaneously available representations at different levels of complexity and linguistic abstraction provide a good empirical basis for content assessment. We show how an annotation&#45;based NLP architecture implementing this idea can be realised and that it successfully performs on a corpus of authentic learner answers to reading comprehension questions. To support comparison and sustainable development on content assessment, we also define a general exchange format for such exercise data.</p>]]></content:encoded>
<dc:identifier>10.1504/IJCEELL.2011.042793</dc:identifier>
<dc:source>International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 21, No. 4 (2011) pp. 355 - 369</dc:source>
<dc:creator>Detmar Meurers</dc:creator>
<dc:creator>Ramon Ziai</dc:creator>
<dc:creator>Niels Ott</dc:creator>
<dc:creator>Stacey M. Bailey</dc:creator>
<dc:contributor>Seminar fur Sprachwissenschaft, Universitat Tubingen, Wilhelmstrasse 19, 72072 Tubingen, Germany. &#39; Sonderforschungsbereich 833, Universitat Tubingen, Nauklerstrasse 35, 72072 Tubingen, Germany. &#39; Sonderforschungsbereich 833, Universitat Tubingen, Nauklerstrasse 35, 72072 Tubingen, Germany. &#39; The MITRE Corporation, 7515 Colshire Dr., McLean, VA 22102, USA</dc:contributor>
<dc:subject>content assessment</dc:subject>
<dc:subject>shallow semantic analysis</dc:subject>
<dc:subject>textual entailment</dc:subject>
<dc:subject>meaning comparisons</dc:subject>
<dc:subject>ICALL</dc:subject>
<dc:subject>intelligent CALL</dc:subject>
<dc:subject>computer&#45;assisted language learning</dc:subject>
<dc:subject>intelligent tutoring systems</dc:subject>
<dc:subject>reading comprehension</dc:subject>
<dc:subject>parallel analysis modules</dc:subject>
<dc:subject>comprehension questions</dc:subject>
<dc:subject>contextualised interactions</dc:subject>
<dc:subject>meaning&#45;based interactions</dc:subject>
<dc:subject>foreign languages</dc:subject>
<dc:subject>second languages</dc:subject>
<dc:subject>language acquisition</dc:subject>
<dc:subject>language teaching</dc:subject>
<dc:subject>language form</dc:subject>
<dc:subject>language meaning</dc:subject>
<dc:subject>learner responses</dc:subject>
<dc:subject>complexity</dc:subject>
<dc:subject>linguistic abstraction</dc:subject>
<dc:subject>natural language processing</dc:subject>
<dc:subject>annotation&#45;based architecture</dc:subject>
<dc:subject>NLP architecture</dc:subject>
<dc:subject>learner answers</dc:subject>
<dc:subject>exchange formats</dc:subject>
<dc:subject>exercise data</dc:subject>
<dc:subject>visualisation</dc:subject>
<dc:subject>continuing education</dc:subject>
<dc:subject>life&#45;long learning</dc:subject>
<dc:subject>automatic free&#45;text evaluation.</dc:subject>
<dc:date>2011-10-04T23:20:50-05:00</dc:date>
<prism:volume>21</prism:volume>
<prism:number>4</prism:number>
<prism:startingPage>355</prism:startingPage>
<prism:endingPage>369</prism:endingPage>
<prism:publicationDate>2011-10-04T23:20:50-05:00</prism:publicationDate>
</item>
</rdf:RDF>

