MILO -- A Proposal of Multiple Intelligences Learning Objects.

Saved in:
Bibliographic Details
Title: MILO -- A Proposal of Multiple Intelligences Learning Objects.
Authors: De Matos, Hamilton1 hamilton.matos@accenture.com, Mustaro, Pollyana Notargiacomo1 polly@mackenzie.br, Silveira, Ismar Frango1 ismar@mackenzie.br
Source: Issues in Informing Science & Information Technology. 2007, Vol. 4, p545-560. 16p.
Subjects: Multiple intelligences, Object-teaching, Instructional systems, Learning, Teaching
Abstract: Learning objects-driven approaches for the development of instructional content have been widely used to structure entire courses and repositories for distinct learning contexts. Nonetheless, their use is still done in a static, non-adaptive manner, since students are presented to pre-built compilations of learning object having few or none relationship with its learning current conditions, history or personal learning style, which together compose the student momentum. This work presents an analysis of current instructional design and multiple intelligences theories in order to create learning objects that provide adaptive learning methods according to different students' characteristics. Using technologies that allow such dynamic approaches, it was created -- as a proof of concept -- a learning object about the Pythagorean Theorem. [ABSTRACT FROM AUTHOR]
Copyright of Issues in Informing Science & Information Technology is the property of Informing Science 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
Header DbId: egs
DbLabel: Engineering Source
An: 27072131
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: MILO -- A Proposal of Multiple Intelligences Learning Objects.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22De+Matos%2C+Hamilton%22">De Matos, Hamilton</searchLink><relatesTo>1</relatesTo><i> hamilton.matos@accenture.com</i><br /><searchLink fieldCode="AR" term="%22Mustaro%2C+Pollyana+Notargiacomo%22">Mustaro, Pollyana Notargiacomo</searchLink><relatesTo>1</relatesTo><i> polly@mackenzie.br</i><br /><searchLink fieldCode="AR" term="%22Silveira%2C+Ismar+Frango%22">Silveira, Ismar Frango</searchLink><relatesTo>1</relatesTo><i> ismar@mackenzie.br</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Issues+in+Informing+Science+%26+Information+Technology%22">Issues in Informing Science & Information Technology</searchLink>. 2007, Vol. 4, p545-560. 16p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multiple+intelligences%22">Multiple intelligences</searchLink><br /><searchLink fieldCode="DE" term="%22Object-teaching%22">Object-teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+systems%22">Instructional systems</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching%22">Teaching</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Learning objects-driven approaches for the development of instructional content have been widely used to structure entire courses and repositories for distinct learning contexts. Nonetheless, their use is still done in a static, non-adaptive manner, since students are presented to pre-built compilations of learning object having few or none relationship with its learning current conditions, history or personal learning style, which together compose the student momentum. This work presents an analysis of current instructional design and multiple intelligences theories in order to create learning objects that provide adaptive learning methods according to different students' characteristics. Using technologies that allow such dynamic approaches, it was created -- as a proof of concept -- a learning object about the Pythagorean Theorem. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Issues in Informing Science & Information Technology is the property of Informing Science 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=27072131
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.28945/971
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 545
    Subjects:
      – SubjectFull: Multiple intelligences
        Type: general
      – SubjectFull: Object-teaching
        Type: general
      – SubjectFull: Instructional systems
        Type: general
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Teaching
        Type: general
    Titles:
      – TitleFull: MILO -- A Proposal of Multiple Intelligences Learning Objects.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: De Matos, Hamilton
      – PersonEntity:
          Name:
            NameFull: Mustaro, Pollyana Notargiacomo
      – PersonEntity:
          Name:
            NameFull: Silveira, Ismar Frango
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2007
              Type: published
              Y: 2007
          Identifiers:
            – Type: issn-print
              Value: 15475840
          Numbering:
            – Type: volume
              Value: 4
          Titles:
            – TitleFull: Issues in Informing Science & Information Technology
              Type: main
ResultId 1