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Analysis of the Use of Artificial Intelligence (AI) to Boost Student Motivation and Reduce Boredom in History Classes

Educational Leadership and Management Journal · Vol. 4 No. 1 (2026) · hlm. 108–127

DOI
10.22437/element.v4i1.56951
ISSN
3031-4712
Terbit
2026-06-02
Penerbit
FKIP Universitas Jambi
Bahasa
en

Abstrak

Advances in artificial intelligence (AI) technology have created new opportunities for educational transformation, particularly in enhancing student motivation and reducing boredom in high school history learning. This study aims to examine the structural relationships among Teachers’ AI Competence (TAC), Multidimensional Work Motivation (MWMS), Students’ Learning Agility (SLA), Student Engagement (SE), and Boredom in Learning (BIL) within AI-supported history education. Using a quantitative approach, data were collected from 101 public high school students in Jambi Province and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that teachers’ AI competence positively and significantly influenced students’ learning agility and engagement. In addition, student engagement was found to significantly reduce boredom in learning, indicating that students who were more actively involved in classroom activities experienced lower levels of boredom. The proposed model demonstrated substantial explanatory power in predicting student engagement and boredom outcomes. These findings highlight the importance of strengthening teachers’ AI-related competencies to foster more adaptive, engaging, and meaningful learning experiences. This study contributes to the growing body of literature on AI integration in secondary education by providing empirical evidence from history learning contexts and offering practical implications for the design of innovative and student-centered instructional practices.

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20 penulis · 32 tautan kepenulisan bersama · 3 lintas organisasi

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  • Universitas Jambi
  • Sekolah Tinggi Ilmu Kesehatan Garuda Putih
  • Syarif Hidayatullah State Islamic University Jakarta
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Dian AndriadiUniversitas Jambi2
Sofyan SofyanUniversitas Jambi2
Akhmad HabibiUniversitas Jambi2
Nunung FajaryaniUniversitas Jambi2
Okky WulandariSekolah Tinggi Ilmu Kesehatan Garuda Putih1
Habibullah HabibullahSyarif Hidayatullah State Islamic University Jakarta1
Eddy HaryantoUniversitas Jambi1
Rossa Aprilia SiregarUniversitas Jambi1
Delita SartikaUniversitas Jambi1
Tri AndiniUniversitas Jambi1
Hadiyanto HadiyantoUniversitas Jambi1
Rachmawati RachmawatiAfiliasi tidak diketahui1
Muchlash AbrarAfiliasi tidak diketahui1
Destrinelli DestrinelliUniversitas Jambi1
Siti ArtikaUniversitas Jambi1
Fatriani FatrianiUniversitas Jambi1
M. Rd. Ali M. Rd. AliUniversitas Jambi1

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) https://online-journal.unja.ac.id/index.php/element/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Analysis of the Use of Artificial Intelligence (AI) to Boost Student Motivation and Reduce Boredom in History Classes</dc:title>
	<dc:creator xml:lang="en">Maharani, Elsa Fauziah</dc:creator>
	<dc:creator xml:lang="en">Sulistyo, Urip</dc:creator>
	<dc:creator xml:lang="en">Masbirorotni, Masbirorotni</dc:creator>
	<dc:subject xml:lang="en">artificial intelligence, motivation to learn, boredom in learning, history education, student engagement</dc:subject>
	<dc:description xml:lang="en">Advances in artificial intelligence (AI) technology have created new opportunities for educational transformation, particularly in enhancing student motivation and reducing boredom in high school history learning. This study aims to examine the structural relationships among Teachers’ AI Competence (TAC), Multidimensional Work Motivation (MWMS), Students’ Learning Agility (SLA), Student Engagement (SE), and Boredom in Learning (BIL) within AI-supported history education. Using a quantitative approach, data were collected from 101 public high school students in Jambi Province and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that teachers’ AI competence positively and significantly influenced students’ learning agility and engagement. In addition, student engagement was found to significantly reduce boredom in learning, indicating that students who were more actively involved in classroom activities experienced lower levels of boredom. The proposed model demonstrated substantial explanatory power in predicting student engagement and boredom outcomes. These findings highlight the importance of strengthening teachers’ AI-related competencies to foster more adaptive, engaging, and meaningful learning experiences. This study contributes to the growing body of literature on AI integration in secondary education by providing empirical evidence from history learning contexts and offering practical implications for the design of innovative and student-centered instructional practices.</dc:description>
	<dc:publisher xml:lang="en">FKIP Universitas Jambi</dc:publisher>
	<dc:date>2026-06-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/element/article/view/56951</dc:identifier>
	<dc:identifier>10.22437/element.v4i1.56951</dc:identifier>
	<dc:source xml:lang="en">Educational Leadership and Management Journal; Vol. 4 No. 1 (2026):  Element - 2026; 108-127</dc:source>
	<dc:source>3031-4712</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/element/article/view/56951/24507</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Educational Leadership and Management Journal</dc:rights>
</oai_dc:dc>