View in EDS HTML Full Text PDF Full Text

Improving the learning performance by exploiting multimedia in eXtreme apprenticeship.

Saved in:
Bibliographic Details
Title: Improving the learning performance by exploiting multimedia in eXtreme apprenticeship.
Authors: Persia, Fabio1 (AUTHOR) fabio.persia@univaq.it, D'Auria, Daniela2 (AUTHOR) daniela.dauria@unibz.it, Ge, Mouzhi3 (AUTHOR) mouzhi.ge@th-deg.de, Pilato, Giovanni4 (AUTHOR) giovanni.pilato@cnr.it
Source: Multimedia Tools & Applications. Jun2025, Vol. 84 Issue 20, p22827-22851. 25p.
Subjects: Computer science, Computer engineering, Computer performance, Transfer of students, Scientific computing
Abstract: From prior studies on eXtreme Apprenticeship (XA), it can be seen that XA has emerged as an innovative and effective educational approach. The technology in computer science evolves rapidly and XA tackles the gap between University education and industry development. Additionally, distance learning by multimedia is more and more important, sometimes even becoming necessary. As a result, this paper intends to study how to integrate XA and multimedia to improve the learning performance in computer science, with particular reference to the programming courses. Since computer science is mostly driven by the new applications, XA and multimedia are considered to be effective and efficient to reduce the cognitive efforts by practical demonstration. The experimental results, based on the case study of the operating systems course at the Bachelor's level, show that exploiting multimedia in XA can significantly improve the learning performance in terms of grade distributions, reliability, knowledge transfer and student satisfaction with respect to more traditional approaches based on frontal lectures. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 186337338
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Improving the learning performance by exploiting multimedia in eXtreme apprenticeship.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Persia%2C+Fabio%22">Persia, Fabio</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fabio.persia@univaq.it</i><br /><searchLink fieldCode="AR" term="%22D'Auria%2C+Daniela%22">D'Auria, Daniela</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> daniela.dauria@unibz.it</i><br /><searchLink fieldCode="AR" term="%22Ge%2C+Mouzhi%22">Ge, Mouzhi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mouzhi.ge@th-deg.de</i><br /><searchLink fieldCode="AR" term="%22Pilato%2C+Giovanni%22">Pilato, Giovanni</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> giovanni.pilato@cnr.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jun2025, Vol. 84 Issue 20, p22827-22851. 25p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+engineering%22">Computer engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Transfer+of+students%22">Transfer of students</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+computing%22">Scientific computing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: From prior studies on eXtreme Apprenticeship (XA), it can be seen that XA has emerged as an innovative and effective educational approach. The technology in computer science evolves rapidly and XA tackles the gap between University education and industry development. Additionally, distance learning by multimedia is more and more important, sometimes even becoming necessary. As a result, this paper intends to study how to integrate XA and multimedia to improve the learning performance in computer science, with particular reference to the programming courses. Since computer science is mostly driven by the new applications, XA and multimedia are considered to be effective and efficient to reduce the cognitive efforts by practical demonstration. The experimental results, based on the case study of the operating systems course at the Bachelor's level, show that exploiting multimedia in XA can significantly improve the learning performance in terms of grade distributions, reliability, knowledge transfer and student satisfaction with respect to more traditional approaches based on frontal lectures. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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=186337338
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-024-20006-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 22827
    Subjects:
      – SubjectFull: Computer science
        Type: general
      – SubjectFull: Computer engineering
        Type: general
      – SubjectFull: Computer performance
        Type: general
      – SubjectFull: Transfer of students
        Type: general
      – SubjectFull: Scientific computing
        Type: general
    Titles:
      – TitleFull: Improving the learning performance by exploiting multimedia in eXtreme apprenticeship.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Persia, Fabio
      – PersonEntity:
          Name:
            NameFull: D'Auria, Daniela
      – PersonEntity:
          Name:
            NameFull: Ge, Mouzhi
      – PersonEntity:
          Name:
            NameFull: Pilato, Giovanni
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 84
            – Type: issue
              Value: 20
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1