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Predicting teachers’ use of digital technology

International Journal of Evaluation and Research in Education (IJERE) · Vol. 12 No. 2 (2023) · hlm. 555–562

DOI
10.11591/ijere.v12i2.24237
ISSN
2620-5440, 2252-8822
Terbit
2023-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

In recent years, the use of digital technology and its relationship to the ability known as digital competence has become a core concept in discussions about the skills that individuals should possess in a knowledge society. Teachers’ skills in using digital technology are becoming a critical component of developing practical pedagogical knowledge for practice and student learning enhancement. The purpose of this study is to predict the factors that influence secondary school teachers when it comes to using digital technology. This study will establish relationships between personal innovativeness, technology self-efficacy, attitude toward digital technology, and digital competence. In Pahang, Malaysia, a survey was conducted with 493 secondary school teachers from 50 public secondary schools of 11 districts. Proportionate stratified sampling, cluster random sampling, and simple random sampling were used to obtain samples. The findings have established that technology self-efficacy, attitude towards digital technology, and digital competence significantly affect how teachers use digital technology. These findings emphasize the importance of increasing teachers’ digital competence as well as numerous elements that influence teachers’ use of digital technology to fulfill the expectations of future qualified professions and thus prepare students for their future.

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38 penulis · 91 tautan kepenulisan bersama · 35 lintas organisasi

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  • Universiti Putra Malaysia
  • Sultan Idris Education University
  • State University of Malang
  • Universiti Teknologi MARA
  • Tun Hussein Onn University of Malaysia
  • UNITAR International University
  • National University of Malaysia
  • Organisasi lain
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  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Siti Salina MustakimUniversiti Putra Malaysia4
Rohani Ahmad TarmiziUniversiti Putra Malaysia2
Farah Damia Mohd NasirUniversiti Putra Malaysia2
Fazilah Binti RazaliUniversiti Putra Malaysia2
Farzaneh SaadatiUniversiti Putra Malaysia1
Riyan HidayatUniversiti Putra Malaysia1
Wan Nurazlina Wan Mohd NoorSultan Idris Education University1
Nurihan NasirSultan Idris Education University1
Zizhe HuangUniversiti Putra Malaysia1
Yap Bee WahUNITAR International University1
Khairunisa AzmarAfiliasi tidak diketahui1
Othman TalibUniversiti Putra Malaysia1
Teh Chin HoongNational University of Malaysia1
Ku Soh TingUniversiti Putra Malaysia1
Maslina ZolkepliUniversiti Putra Malaysia1
Chen Chuei YeeUniversiti Putra Malaysia1
Mausooma MohamedAfiliasi tidak diketahui1
Maizura YasinUniversiti Putra Malaysia1
Nur Raihan Che NawiUniversiti 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
Asnul Dahar MinghatUniversity of Technology Malaysia1
Hamidah binti MatUniversiti Putra Malaysia1
Ellie Esterina Mohd FasiahUniversiti Putra Malaysia1
Nurul Nadwa ZulkifliUniversiti Putra Malaysia1
Toto NusantaraState University of Malang1
Ade Eka AnggrainiState University of Malang1
Shamsulariffin SamsudinUniversiti Putra Malaysia1
Haslinda HusainUniversiti Putra Malaysia1
Mohamad Firdaus AhmadUniversiti Teknologi MARA1
Nur Syazwani Zulaikha SafwanUniversiti Teknologi MARA1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

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 teachers’ use of digital technology</dc:title>
	<dc:creator>Abu Hanifah, Siti Syuhada</dc:creator>
	<dc:creator>Ghazali, Norliza</dc:creator>
	<dc:creator>Ayub, Ahmad Fauzi Mohd</dc:creator>
	<dc:creator>Roslan, Rosfuzah</dc:creator>
	<dc:subject xml:lang="en-US">Attitude; Digital competence; Digital technology; Personal innovativeness; Technology self-efficacy</dc:subject>
	<dc:description xml:lang="en-US">In recent years, the use of digital technology and its relationship to the ability known as digital competence has become a core concept in discussions about the skills that individuals should possess in a knowledge society. Teachers’ skills in using digital technology are becoming a critical component of developing practical pedagogical knowledge for practice and student learning enhancement. The purpose of this study is to predict the factors that influence secondary school teachers when it comes to using digital technology. This study will establish relationships between personal innovativeness, technology self-efficacy, attitude toward digital technology, and digital competence. In Pahang, Malaysia, a survey was conducted with 493 secondary school teachers from 50 public secondary schools of 11 districts. Proportionate stratified sampling, cluster random sampling, and simple random sampling were used to obtain samples. The findings have established that technology self-efficacy, attitude towards digital technology, and digital competence significantly affect how teachers use digital technology. These findings emphasize the importance of increasing teachers’ digital competence as well as numerous elements that influence teachers’ use of digital technology to fulfill the expectations of future qualified professions and thus prepare students for their future.</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>2023-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>10.11591/ijere.v12i2.24237</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Evaluation and Research in Education (IJERE); Vol 12, No 2: June 2023; 555-562</dc:source>
	<dc:source>2620-5440</dc:source>
	<dc:source>2252-8822</dc:source>
	<dc:source>10.11591/ijere.v12i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijere.iaescore.com/index.php/IJERE/article/view/24237/13554</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 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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