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Analysis of Critical Thinking Ability in Artificial Intelligence-Assisted Guided Inquiry Model Based on Mathematical Disposition

Unnes Journal of Mathematics Education · Vol. 14 No. 2 (2025) · pp. 179–190

DOI
10.15294/ujme.v14i2.31544
ISSN
2460-5840, 2252-6927
Published
2025-08-31
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

This research aims to analyze the quality of implementing the Guided Inquiry learning model assisted by Artificial Intelligence on students’ critical thinking abilities and to describe students' critical thinking abilities based on their mathematical disposition after being given the Guided Inquiry learning model assisted by Artificial Intelligence. This study employed a mixed-methods approach used a sequential explanatory design. The quantitative research involved a population of 10th-grade students at MA Annidlomiyah. The selected samples were class X B as the experimental group and class X A as the control group. Research instrument in the form of a test of mathematical critical thinking abilities, mathematical disposition questionnaires, an interview, and student worksheets with data analysis was used with IBM SPSS 16. The qualitative research described critical thinking abilities based on high, medium, and low mathematical dispositions. The research results show that 1) The quality of implementing the Guided Inquiry model assisted by Artificial Intelligence met valid criteria at the planning stage, achieved a very good category at the implementation stage, and fulfilled learning effectiveness at the evaluation stage of results. 2) The description of students' critical thinking abilities is as follows: (a) Students with a high mathematical disposition demonstrated very good critical thinking abilities and were able to meet all four indicators of critical thinking ability. (b) Students with a medium mathematical disposition had critical thinking abilities that were not as good as those with a high mathematical disposition. Most students only met two to three indicators of critical thinking ability. (c) For students with a low mathematical disposition, there were two differences in critical thinking ability observed in this study. Some met three indicators, while others only met one indicator.

Keywords

Collaboration network of the authors

40 authors · 115 co-authorship links · 6 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Halu Oleo
  • Universitas Airlangga
  • Universitas Primagraha
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mohammad AsikinAffiliation unknown7
Kartono KartonoUniversitas Airlangga6
St. Budi WaluyaAffiliation unknown6
Zaenuri ZaenuriState University of Semarang6
Masrukan MasrukanState University of Semarang5
Hardi SuyitnoAffiliation unknown3
Isnarto IsnartoAffiliation unknown3
Adi Satrio ArdiansyahAffiliation unknown3
Fajar Sodik PamungkasAffiliation unknown3
Dedy KurniantoAffiliation unknown3
Wardono WardonoAffiliation unknown3
Sunyoto Eko NugrohoState University of Semarang2
Rochmad RochmadAffiliation unknown2
Jannatun Khustia LubisAffiliation unknown2
Nuriana Rachmani DewiAffiliation unknown2
Amin SuyitnoAffiliation unknown2
Bambang Eko SusiloState University of Semarang2
Batul Fatin HendrianiAffiliation unknown2
Alif Aulia RahmanAffiliation unknown2
Muhammad AshimAffiliation unknown2
Nur HasanahUniversitas Halu Oleo2
Rohimatul AzizahAffiliation unknown2
Bayu Dwi PrasetyaAffiliation unknown2
Fatkhurokhman FauziAffiliation unknown2
Lathifatun Ni’mahAffiliation unknown1
Scolastika MarianiState University of Semarang1
Sugiarto _Affiliation unknown1
Supriyadi SupriyadiAffiliation unknown1
Ika Silfiana A.KhAffiliation unknown1
Endang WerdiningsihAffiliation unknown1
Sulhadi SulhadiAffiliation unknown1
Wahyu Eka Putra MuttaqinAffiliation unknown1
Ninik SetiyawatiAffiliation unknown1
Fauzi FadliansyahUniversitas Primagraha1
Joko SutartoAffiliation unknown1
Ginanjar MaulanaAffiliation unknown1
Abdul KadirUniversitas Halu Oleo1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ujme/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Analysis of Critical Thinking Ability in Artificial Intelligence-Assisted Guided Inquiry Model Based on Mathematical Disposition</dc:title>
	<dc:creator xml:lang="en">Putri, Sanianajiba Nugroho </dc:creator>
	<dc:creator xml:lang="en">Junaedi, Iwan </dc:creator>
	<dc:creator xml:lang="en">Kharisudin, Iqbal </dc:creator>
	<dc:subject xml:lang="en">Critical Thinking</dc:subject>
	<dc:subject xml:lang="en">Mathematical Disposition</dc:subject>
	<dc:subject xml:lang="en">Guided Inquiry</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:description xml:lang="en">This research aims to analyze the quality of implementing the Guided Inquiry learning model assisted by Artificial Intelligence on students’ critical thinking abilities and to describe students' critical thinking abilities based on their mathematical disposition after being given the Guided Inquiry learning model assisted by Artificial Intelligence. This study employed a mixed-methods approach used a sequential explanatory design. The quantitative research involved a population of 10th-grade students at MA Annidlomiyah. The selected samples were class X B as the experimental group and class X A as the control group. Research instrument in the form of a test of mathematical critical thinking abilities, mathematical disposition questionnaires, an interview, and student worksheets with data analysis was used with IBM SPSS 16. The qualitative research described critical thinking abilities based on high, medium, and low mathematical dispositions. The research results show that 1) The quality of implementing the Guided Inquiry model assisted by Artificial Intelligence met valid criteria at the planning stage, achieved a very good category at the implementation stage, and fulfilled learning effectiveness at the evaluation stage of results. 2) The description of students' critical thinking abilities is as follows: (a) Students with a high mathematical disposition demonstrated very good critical thinking abilities and were able to meet all four indicators of critical thinking ability. (b) Students with a medium mathematical disposition had critical thinking abilities that were not as good as those with a high mathematical disposition. Most students only met two to three indicators of critical thinking ability. (c) For students with a low mathematical disposition, there were two differences in critical thinking ability observed in this study. Some met three indicators, while others only met one indicator.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-08-31</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://journal.unnes.ac.id/journals/ujme/article/view/31544</dc:identifier>
	<dc:identifier>10.15294/ujme.v14i2.31544</dc:identifier>
	<dc:source xml:lang="en">Unnes Journal of Mathematics Education; Vol. 14 No. 2 (2025): Reguler Issue; 179-190</dc:source>
	<dc:source>2460-5840</dc:source>
	<dc:source>2252-6927</dc:source>
	<dc:source>10.15294/ujme.v14i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ujme/article/view/31544/6143</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Unnes Journal of Mathematics Education</dc:rights>
</oai_dc:dc>