Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web

The main objective of the research is to design and develop a web-based personalized learning system called Personalized Learning Material Generator System (PLMGS). Initially, the researcher investigated the individual differences with respect to their learning strength (LS) based on the individual...

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Main Author: Bilal Ali, Mohamad
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/25159/16/MohamadBilalAliPFP2009.pdf
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author Bilal Ali, Mohamad
author_facet Bilal Ali, Mohamad
author_sort Bilal Ali, Mohamad
collection ePrints
description The main objective of the research is to design and develop a web-based personalized learning system called Personalized Learning Material Generator System (PLMGS). Initially, the researcher investigated the individual differences with respect to their learning strength (LS) based on the individual multiple intelligence, computer screen design preferences and learning object (LO) format to a group of 475 full time students attending bachelor degree programs at the Faculty of Education, UTM. Information pertaining to LS was collected using questionnaire which measured eight different constructs while information of screen design preferences and LO format was collected using self-designed checklists. This information served as a basis of the development of individual learning preferences (LP) profile. The LP was then used in the design and development of a prototype of PLMGS learning system which comprised of five main components namely, LS engine profile, LO, menu template, learning object repository system (LORS) and the integration of PLMGS into the Moodle e-learning platform. The design and development of PLMGS was based on ADDIE model using PHP and Javascript as programming languages. A series of quantitative pattern analysis study has identified three dominant LS components among the learners namely Verbal (V), Mathematical (M) and Spatial (S). Each of these LS dominants was found to be correlated to specific type of screen design preferences. A study of suitability of PLMGS (in terms of preferred screen design and LO) conducted on 102 students has found that most of the learning materials produced by PLMGS suit most of the individual student’s learning preferences. By at large, the study has contributed a useful framework in the design and development of personalized learning system that integrates individual LS, screen design preferences and LO format which is believed to give crucial benefits especially in elearning and personalized learning environment field.
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spelling utm.eprints-251592017-09-20T07:41:37Z http://eprints.utm.my/25159/ Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web Bilal Ali, Mohamad L Education (General) QA75 Electronic computers. Computer science The main objective of the research is to design and develop a web-based personalized learning system called Personalized Learning Material Generator System (PLMGS). Initially, the researcher investigated the individual differences with respect to their learning strength (LS) based on the individual multiple intelligence, computer screen design preferences and learning object (LO) format to a group of 475 full time students attending bachelor degree programs at the Faculty of Education, UTM. Information pertaining to LS was collected using questionnaire which measured eight different constructs while information of screen design preferences and LO format was collected using self-designed checklists. This information served as a basis of the development of individual learning preferences (LP) profile. The LP was then used in the design and development of a prototype of PLMGS learning system which comprised of five main components namely, LS engine profile, LO, menu template, learning object repository system (LORS) and the integration of PLMGS into the Moodle e-learning platform. The design and development of PLMGS was based on ADDIE model using PHP and Javascript as programming languages. A series of quantitative pattern analysis study has identified three dominant LS components among the learners namely Verbal (V), Mathematical (M) and Spatial (S). Each of these LS dominants was found to be correlated to specific type of screen design preferences. A study of suitability of PLMGS (in terms of preferred screen design and LO) conducted on 102 students has found that most of the learning materials produced by PLMGS suit most of the individual student’s learning preferences. By at large, the study has contributed a useful framework in the design and development of personalized learning system that integrates individual LS, screen design preferences and LO format which is believed to give crucial benefits especially in elearning and personalized learning environment field. 2009-10 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/25159/16/MohamadBilalAliPFP2009.pdf Bilal Ali, Mohamad (2009) Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web. PhD thesis, Universiti Teknologi Malaysia, Faculty of Education.
spellingShingle L Education (General)
QA75 Electronic computers. Computer science
Bilal Ali, Mohamad
Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title_full Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title_fullStr Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title_full_unstemmed Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title_short Sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
title_sort sistem penghasilan bahan pembelajaran peribadi berasaskan kecerdasan pelbagai dalam persekitaran web
topic L Education (General)
QA75 Electronic computers. Computer science
url http://eprints.utm.my/25159/16/MohamadBilalAliPFP2009.pdf
work_keys_str_mv AT bilalalimohamad sistempenghasilanbahanpembelajaranperibadiberasaskankecerdasanpelbagaidalampersekitaranweb