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Analysis of Students’ Critical Thinking Skills in Electrochemistry Through Artificial Intelligence (AI)-Assisted Video Storytelling

Chemistry in Education · Vol. 15 No. 1 (2026) · hlm. 70–86

DOI
10.15294/chemined.v15i1.43619
ISSN
2252-6609, 2502-6852
Terbit
2026-07-24
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The demands of 21st-century learning emphasize critical thinking skills as part of the 4Cs, requiring assessment instruments capable of revealing students' thinking processes more authentically in electrochemistry material. Based on research conducted at SMAN 3 Semarang in November 2025 involving 86 grade XII students, it was found that assessment was still traditional, using paper-based written tests, and was still subjective. The quantitative method and correlational design used in this study focused on testing assisted storytelling tests by means of video recording and transcription with the help of artificial intelligence (AI) to measure critical thinking skills based on Facione’s indicators (interpretation, analysis, inference, evaluation, and explanation). The instrument’s feasibility was reviewed through content validity by two validators and analyzed using Gregory's formula, while reliability was tested using Cronbach's Alpha. The results showed a content validity coefficient of 0.80 (very high category), indicating that the instrument was valid in terms of content. The instrument's reliability obtained an α = 0.623, which is considered sufficiently reliable. Students’ critical thinking skills tend to be high in Interpretation–Analysis–Inference, while Evaluation and Explanation are relatively lower. Categorically, based on total scores, 88.37% of students are in the very critical category, 10.47% in the critical category, and 1.16% in the fairly critical category. Although the results show that the relationship between Critical Thinking indicators tends to be weak.

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  • State University of Semarang
  • National University of Malaysia
  • Universiti Teknologi MARA
  • Universitas Papua
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Rekan penulisOrganisasiArtikel bersama
Siti Muslimah WidyastutiAfiliasi tidak diketahui3
Sri Susilogati SumartiState University of Semarang2
Sharipah Ruzaina Syed ArisUniversiti Teknologi MARA1
Endang SusilaningsihState University of Semarang1
Isnaini Putri SalimnahState University of Semarang1
Sri NurhayatiState University of Semarang1
Lilia Ellany MohtarNational University of Malaysia1
Salsabil Zhafirah OktavianiAfiliasi tidak diketahui1
Fatimah KhoiriyahAfiliasi tidak diketahui1
Felia Annisa PutriAfiliasi tidak diketahui1
Mohammad AlauhdinAfiliasi tidak diketahui1
F. ‪Widhi MahatmantiAfiliasi tidak diketahui1
Riska Putri MawarniAfiliasi tidak diketahui1
Susanti TasikUniversitas Papua1
I RiastiwiAfiliasi tidak diketahui1
Zjakiyah Ari SusantiAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/chemined/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Analysis of Students’ Critical Thinking Skills in Electrochemistry Through Artificial Intelligence (AI)-Assisted Video Storytelling</dc:title>
	<dc:creator xml:lang="en">Akmal, Nor Unsa</dc:creator>
	<dc:creator xml:lang="en">Harjono</dc:creator>
	<dc:subject xml:lang="en">critical  thinking skills</dc:subject>
	<dc:subject xml:lang="en">Electrochemistry</dc:subject>
	<dc:subject xml:lang="en">Video Storytelling</dc:subject>
	<dc:subject xml:lang="en"> Artificial Intelligence</dc:subject>
	<dc:description xml:lang="en">The demands of 21st-century learning emphasize critical thinking skills as part of the 4Cs, requiring assessment instruments capable of revealing students' thinking processes more authentically in electrochemistry material. Based on research conducted at SMAN 3 Semarang in November 2025 involving 86 grade XII students, it was found that assessment was still traditional, using paper-based written tests, and was still subjective. The quantitative method and correlational design used in this study focused on testing assisted storytelling tests by means of video recording and transcription with the help of artificial intelligence (AI) to measure critical thinking skills based on Facione’s indicators (interpretation, analysis, inference, evaluation, and explanation). The instrument’s feasibility was reviewed through content validity by two validators and analyzed using Gregory's formula, while reliability was tested using Cronbach's Alpha. The results showed a content validity coefficient of 0.80 (very high category), indicating that the instrument was valid in terms of content. The instrument's reliability obtained an α = 0.623, which is considered sufficiently reliable. Students’ critical thinking skills tend to be high in Interpretation–Analysis–Inference, while Evaluation and Explanation are relatively lower. Categorically, based on total scores, 88.37% of students are in the very critical category, 10.47% in the critical category, and 1.16% in the fairly critical category. Although the results show that the relationship between Critical Thinking indicators tends to be weak.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-07-24</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/chemined/article/view/43619</dc:identifier>
	<dc:identifier>10.15294/chemined.v15i1.43619</dc:identifier>
	<dc:source xml:lang="en">Chemistry in Education; Vol. 15 No. 1 (2026): Chemistry in Education; 70-86</dc:source>
	<dc:source>2252-6609</dc:source>
	<dc:source>2502-6852</dc:source>
	<dc:source>10.15294/chemined.v15i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/chemined/article/view/43619/10720</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Chemistry in Education</dc:rights>
</oai_dc:dc>