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Predicting personalized mathematics learning among pre-university students in the Maldives

International Journal of Evaluation and Research in Education (IJERE) · Vol. 14 No. 2 (2025) · hlm. 1141–1149

DOI
10.11591/ijere.v14i2.31174
ISSN
2620-5440, 2252-8822
Terbit
2025-04-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

The use of learning management systems (LMS), such as Moodle, for personalized mathematics learning (PML) is successful; nonetheless, its performance depends on several factors. This study investigates the factors influencing the utilization of LMS for PML at the Maldives National University (MNU). A correlational study was conducted involving 120 randomly selected pre-university students using an online questionnaire to measure performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and student commitment (SC) toward LMS usage behavior (UB). Data analysis with IBM statistical package for the social sciences (SPSS) statistics version 25.0 revealed significant positive relationships between LMS UB and PE (r=0.624**), EE (r=0.644**), FC (r=0.533**), and SC (r=0.696**), with SC being the strongest predictor. SI showed a weaker positive relationship (r=0.204). The study also discovered a multiple correlation (R) value of 0.807 and an analysis of variance (ANOVA) (F (5, 114)=42.497, p=0.000). The study’s findings underscore the significance of these factors in promoting LMS adoption and effective use concluding that focusing on these key predictors can enhance PML and improve student engagement and performance.

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32 penulis · 69 tautan kepenulisan bersama · 21 lintas organisasi

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  • Universiti Putra Malaysia
  • Sultan Idris Education University
  • Universiti Teknologi MARA
  • Tun Hussein Onn University of Malaysia
  • National University of Malaysia
  • Tunku Abdul Rahman University of Management and Technology
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Rekan penulisOrganisasiArtikel bersama
Rohani Ahmad TarmiziUniversiti Putra Malaysia2
Farzaneh SaadatiUniversiti Putra Malaysia1
Riyan HidayatUniversiti Putra Malaysia1
Wan Nurazlina Wan Mohd NoorSultan Idris Education University1
Nurihan NasirSultan Idris Education University1
Norliza GhazaliUniversiti Putra Malaysia1
Siti Syuhada Abu HanifahUniversiti Putra Malaysia1
Rosfuzah RoslanTun Hussein Onn University of Malaysia1
Othman TalibUniversiti Putra Malaysia1
Teh Chin HoongNational University of Malaysia1
Ku Soh TingUniversiti Putra Malaysia1
Maslina ZolkepliUniversiti Putra Malaysia1
Chen Chuei YeeUniversiti Putra Malaysia1
Xiao Fen YuUniversiti Putra Malaysia1
Nor Aniza AhmadUniversiti Putra Malaysia1
Norzihani SaharuddinUniversiti Putra Malaysia1
Fazilah Binti RazaliUniversiti Putra Malaysia1
Tajularipin SulaimanUniversiti Putra Malaysia1
Noraziela Abdul MajidTunku Abdul Rahman University of Management and Technology1
Nurzatulshima KamarudinUniversiti Putra Malaysia1
Hosseinali GholamiUniversiti Putra Malaysia1
Aida Suraya Md. YunusUniversiti Putra Malaysia1
Ellie Esterina Mohd FasiahUniversiti Putra Malaysia1
Nurul Nadwa ZulkifliUniversiti Putra Malaysia1
Shamsulariffin SamsudinUniversiti Putra Malaysia1
Haslinda HusainUniversiti Putra Malaysia1
Mohamad Firdaus AhmadUniversiti Teknologi MARA1
Nur Syazwani Zulaikha SafwanUniversiti Teknologi MARA1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijere.iaescore.com/index.php/IJERE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Predicting personalized mathematics learning among pre-university students in the Maldives</dc:title>
	<dc:creator>Mohamed, Mausooma</dc:creator>
	<dc:creator>Ayub, Ahmad Fauzi Mohd</dc:creator>
	<dc:creator>Yasin, Maizura</dc:creator>
	<dc:creator>Nawi, Nur Raihan Che</dc:creator>
	<dc:subject xml:lang="en-US">Learning management system; Maldives National University; Personalized mathematics learning; Student engagement; Usage behavior</dc:subject>
	<dc:description xml:lang="en-US">The use of learning management systems (LMS), such as Moodle, for personalized mathematics learning (PML) is successful; nonetheless, its performance depends on several factors. This study investigates the factors influencing the utilization of LMS for PML at the Maldives National University (MNU). A correlational study was conducted involving 120 randomly selected pre-university students using an online questionnaire to measure performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and student commitment (SC) toward LMS usage behavior (UB). Data analysis with IBM statistical package for the social sciences (SPSS) statistics version 25.0 revealed significant positive relationships between LMS UB and PE (r=0.624**), EE (r=0.644**), FC (r=0.533**), and SC (r=0.696**), with SC being the strongest predictor. SI showed a weaker positive relationship (r=0.204). The study also discovered a multiple correlation (R) value of 0.807 and an analysis of variance (ANOVA) (F (5, 114)=42.497, p=0.000). The study’s findings underscore the significance of these factors in promoting LMS adoption and effective use concluding that focusing on these key predictors can enhance PML and improve student engagement and performance.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2025-04-01</dc:date>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijere.iaescore.com/index.php/IJERE/article/view/31174</dc:identifier>
	<dc:identifier>10.11591/ijere.v14i2.31174</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 14, No 2: April 2025; 1141-1149</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v14i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/31174/14320</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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