ALES: An innovative agent-based learning environment to teach argumentation.
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| Title: | ALES: An innovative agent-based learning environment to teach argumentation. |
|---|---|
| Authors: | Abbas, Safia1, Sawamura, Hajime2 |
| Source: | International Journal of Knowledge Based Intelligent Engineering Systems. 2011, Vol. 15 Issue 1, p25-41. 17p. |
| Subjects: | Debate, Educability, Learning strategies, Students, Scientific community, Everyday life, Tutors & tutoring, Comparative studies |
| Abstract: | Argumentation is essential in our daily life since we argue all the time in scientific communities, parliaments, courts .. etc. In the field of education, argumentation and argument skills reflect the students' abilities to outline a claim in a logical and convincing way and provide supportable reasons for that claim as well as identifying the often implicit assumptions that underlie the claim. This paper introduces an innovative agent-based ITS teaching environment "ALES", which concerns natural argument analysis. ALES offers two phases; learning phase and evaluation phase. The learning phase encompasses two learning strategies, learning by search and learning by assessment, in which different representative reports that follow the student progress can be produced easily. During learning by search, ALES utilizes mining techniques to expose and retrieve the underlying experts' analyses that are most relevant to the subject of search. Learning by assessment provides guidance through partial and total feedback, which guide the student analysis based on the pre-selected scheme. The evaluation phase aims to assess the student's analysis comparable to the pre-existed expert's analysis. The paper aims to (i) describe the constituent models of ALES and their functions, (ii) present the encompassed tutoring scenarios associated with an illustration of the teaching pedagogy, (iii) present a comparative study between ALES and other systems in the same field. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Knowledge Based Intelligent Engineering Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 59627799 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ALES: An innovative agent-based learning environment to teach argumentation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abbas%2C+Safia%22">Abbas, Safia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sawamura%2C+Hajime%22">Sawamura, Hajime</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Knowledge+Based+Intelligent+Engineering+Systems%22">International Journal of Knowledge Based Intelligent Engineering Systems</searchLink>. 2011, Vol. 15 Issue 1, p25-41. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Debate%22">Debate</searchLink><br /><searchLink fieldCode="DE" term="%22Educability%22">Educability</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+community%22">Scientific community</searchLink><br /><searchLink fieldCode="DE" term="%22Everyday+life%22">Everyday life</searchLink><br /><searchLink fieldCode="DE" term="%22Tutors+%26+tutoring%22">Tutors & tutoring</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Argumentation is essential in our daily life since we argue all the time in scientific communities, parliaments, courts .. etc. In the field of education, argumentation and argument skills reflect the students' abilities to outline a claim in a logical and convincing way and provide supportable reasons for that claim as well as identifying the often implicit assumptions that underlie the claim. This paper introduces an innovative agent-based ITS teaching environment "ALES", which concerns natural argument analysis. ALES offers two phases; learning phase and evaluation phase. The learning phase encompasses two learning strategies, learning by search and learning by assessment, in which different representative reports that follow the student progress can be produced easily. During learning by search, ALES utilizes mining techniques to expose and retrieve the underlying experts' analyses that are most relevant to the subject of search. Learning by assessment provides guidance through partial and total feedback, which guide the student analysis based on the pre-selected scheme. The evaluation phase aims to assess the student's analysis comparable to the pre-existed expert's analysis. The paper aims to (i) describe the constituent models of ALES and their functions, (ii) present the encompassed tutoring scenarios associated with an illustration of the teaching pedagogy, (iii) present a comparative study between ALES and other systems in the same field. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Knowledge Based Intelligent Engineering Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=59627799 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/KES-2010-0208 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 25 Subjects: – SubjectFull: Debate Type: general – SubjectFull: Educability Type: general – SubjectFull: Learning strategies Type: general – SubjectFull: Students Type: general – SubjectFull: Scientific community Type: general – SubjectFull: Everyday life Type: general – SubjectFull: Tutors & tutoring Type: general – SubjectFull: Comparative studies Type: general Titles: – TitleFull: ALES: An innovative agent-based learning environment to teach argumentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abbas, Safia – PersonEntity: Name: NameFull: Sawamura, Hajime IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 13272314 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Knowledge Based Intelligent Engineering Systems Type: main |
| ResultId | 1 |
