Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects
This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decisio...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kurilovas, Eugenijus [verfasserIn] Vinogradova, Irina [author] Serikoviene, Silvija [author] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
IGI Global InfoSci Journals Archive 2000 - 2012 |
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| Übergeordnetes Werk: |
In: International journal of online pedagogy and course design - Hershey, Pa : IGI Global, 2011, 1(2011), 4, Seite 62-76 |
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volume:1 ; year:2011 ; number:4 ; pages:62-76 |
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10.4018/ijopcd.2011100105 |
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| 520 | |a This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject | ||
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10.4018/ijopcd.2011100105 doi (DE-627)NLEJ244495947 (VZGNL)10.4018/ijopcd.2011100105 DE-627 ger DE-627 rakwb eng Kurilovas, Eugenijus verfasserin aut Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject IGI Global InfoSci Journals Archive 2000 - 2012 Criteria Evaluation Learning Object Multiple Criteria Decision Analysis Optimisation Methods Quality Vinogradova, Irina author aut Serikoviene, Silvija author aut In International journal of online pedagogy and course design Hershey, Pa : IGI Global, 2011 1(2011), 4, Seite 62-76 Online-Ressource (DE-627)NLEJ244419388 (DE-600)2703580-3 2155-6881 nnns volume:1 year:2011 number:4 pages:62-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 1 2011 4 62-76 |
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10.4018/ijopcd.2011100105 doi (DE-627)NLEJ244495947 (VZGNL)10.4018/ijopcd.2011100105 DE-627 ger DE-627 rakwb eng Kurilovas, Eugenijus verfasserin aut Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject IGI Global InfoSci Journals Archive 2000 - 2012 Criteria Evaluation Learning Object Multiple Criteria Decision Analysis Optimisation Methods Quality Vinogradova, Irina author aut Serikoviene, Silvija author aut In International journal of online pedagogy and course design Hershey, Pa : IGI Global, 2011 1(2011), 4, Seite 62-76 Online-Ressource (DE-627)NLEJ244419388 (DE-600)2703580-3 2155-6881 nnns volume:1 year:2011 number:4 pages:62-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 1 2011 4 62-76 |
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10.4018/ijopcd.2011100105 doi (DE-627)NLEJ244495947 (VZGNL)10.4018/ijopcd.2011100105 DE-627 ger DE-627 rakwb eng Kurilovas, Eugenijus verfasserin aut Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject IGI Global InfoSci Journals Archive 2000 - 2012 Criteria Evaluation Learning Object Multiple Criteria Decision Analysis Optimisation Methods Quality Vinogradova, Irina author aut Serikoviene, Silvija author aut In International journal of online pedagogy and course design Hershey, Pa : IGI Global, 2011 1(2011), 4, Seite 62-76 Online-Ressource (DE-627)NLEJ244419388 (DE-600)2703580-3 2155-6881 nnns volume:1 year:2011 number:4 pages:62-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 1 2011 4 62-76 |
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10.4018/ijopcd.2011100105 doi (DE-627)NLEJ244495947 (VZGNL)10.4018/ijopcd.2011100105 DE-627 ger DE-627 rakwb eng Kurilovas, Eugenijus verfasserin aut Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject IGI Global InfoSci Journals Archive 2000 - 2012 Criteria Evaluation Learning Object Multiple Criteria Decision Analysis Optimisation Methods Quality Vinogradova, Irina author aut Serikoviene, Silvija author aut In International journal of online pedagogy and course design Hershey, Pa : IGI Global, 2011 1(2011), 4, Seite 62-76 Online-Ressource (DE-627)NLEJ244419388 (DE-600)2703580-3 2155-6881 nnns volume:1 year:2011 number:4 pages:62-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 1 2011 4 62-76 |
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10.4018/ijopcd.2011100105 doi (DE-627)NLEJ244495947 (VZGNL)10.4018/ijopcd.2011100105 DE-627 ger DE-627 rakwb eng Kurilovas, Eugenijus verfasserin aut Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject IGI Global InfoSci Journals Archive 2000 - 2012 Criteria Evaluation Learning Object Multiple Criteria Decision Analysis Optimisation Methods Quality Vinogradova, Irina author aut Serikoviene, Silvija author aut In International journal of online pedagogy and course design Hershey, Pa : IGI Global, 2011 1(2011), 4, Seite 62-76 Online-Ressource (DE-627)NLEJ244419388 (DE-600)2703580-3 2155-6881 nnns volume:1 year:2011 number:4 pages:62-76 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijopcd.2011100105&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 1 2011 4 62-76 |
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Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects |
| abstract |
This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject |
| abstractGer |
This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject |
| abstract_unstemmed |
This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject |
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Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects |
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Vinogradova, Irina Serikoviene, Silvija |
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