AuthorIT & TutorIT: An Intelligent Tutor Authoring & Delivery System You Can Use.
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| Title: | AuthorIT & TutorIT: An Intelligent Tutor Authoring & Delivery System You Can Use. |
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| Authors: | SCANDURA, JOSEPH M.1 Scandura1@verizon.net |
| Source: | Technology, Instruction, Cognition & Learning. 2016, Vol. 10 Issue 3, p173-202. 30p. |
| Subject Terms: | *Intelligent tutoring systems, *Structural learning theory, *Instructional systems, *Factor analysis, Big data, Data mining |
| Abstract: | Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although wellfunded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a fundamentally different theoretical foundation designed from inceptions explicitly with this in mind. After summarizing approaches, this paper focuses on answering four basic questions that good human tutors must ask, explicitly or implicitly. It shows how AuthorIT authoring and TutorIT delivery technologies have made it possible in a highly cost effective manner to build a broad variety of TutorIT tutorials that interact with students as might a good human tutor. Those interested in field testing or further research are encouraged to contact the author. [ABSTRACT FROM AUTHOR] |
| Copyright of Technology, Instruction, Cognition & Learning is the property of Old City Publishing, 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: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 120002649 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AuthorIT & TutorIT: An Intelligent Tutor Authoring & Delivery System You Can Use. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22SCANDURA%2C+JOSEPH+M%2E%22">SCANDURA, JOSEPH M.</searchLink><relatesTo>1</relatesTo><i> Scandura1@verizon.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technology%2C+Instruction%2C+Cognition+%26+Learning%22">Technology, Instruction, Cognition & Learning</searchLink>. 2016, Vol. 10 Issue 3, p173-202. 30p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Intelligent+tutoring+systems%22">Intelligent tutoring systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Structural+learning+theory%22">Structural learning theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Instructional+systems%22">Instructional systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although wellfunded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a fundamentally different theoretical foundation designed from inceptions explicitly with this in mind. After summarizing approaches, this paper focuses on answering four basic questions that good human tutors must ask, explicitly or implicitly. It shows how AuthorIT authoring and TutorIT delivery technologies have made it possible in a highly cost effective manner to build a broad variety of TutorIT tutorials that interact with students as might a good human tutor. Those interested in field testing or further research are encouraged to contact the author. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technology, Instruction, Cognition & Learning is the property of Old City Publishing, 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=ehh&AN=120002649 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 173 Subjects: – SubjectFull: Intelligent tutoring systems Type: general – SubjectFull: Structural learning theory Type: general – SubjectFull: Instructional systems Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Big data Type: general – SubjectFull: Data mining Type: general Titles: – TitleFull: AuthorIT & TutorIT: An Intelligent Tutor Authoring & Delivery System You Can Use. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: SCANDURA, JOSEPH M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 15400182 Numbering: – Type: volume Value: 10 – Type: issue Value: 3 Titles: – TitleFull: Technology, Instruction, Cognition & Learning Type: main |
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