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AI-TPACK Integration to Bridge Digital and Environmental Literacy in Science Education for SDGs

Journal of Innovative Science Education · Vol. 15 No. 1 (2026) · pp. 77–86

DOI
10.15294/jise.v15i1.48642
ISSN
2502-4523, 2252-6412
Published
2026-04-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The rapid development of Artificial Intelligence (AI) has shifted science education towards reflective, data-driven, and sustainability-oriented learning. Within this context, the AI-Technological Pedagogical Content Knowledge (AI-TPACK) framework positions AI as a scientific thinking partner and a tool for ecological exploration. This study examines AI-TPACK as a bridge between digital and environmental literacy to support Sustainable Development Goals (SDGs). Using a semi-systematic review—combining bibliometric analysis and qualitative synthesis of publications from 2015–2025 via the Publish or Perish application—this research outlines trends linking AI-TPACK to these literacies. Results indicate that AI-TPACK transforms 21st-century science education by enabling AI-driven data exploration for social and environmental issues. Digital literacy develops through scientific data analysis, while environmental literacy grows from ecological awareness and sustainability inquiry. Their synergy advances SDG 4 (Quality Education), SDG 13 (Climate Action), and SDG 15 (Life on Land) by enhancing pedagogical competence, analytical skills, and data-based conservation awareness. This study contributes to the conceptual development of AI-TPACK as an integrative framework linking digital and environmental literacy in sustainability-oriented science education.

Keywords

Collaboration network of the authors

40 authors · 146 co-authorship links · 8 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
  • University of Szeged
  • Sultan Idris Education University
  • University of Mataram
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arif WidiyatmokoState University of Semarang8
Prasetyo ListiajiUniversity of Szeged8
Erna Noor SavitriState University of Semarang6
Parmin ParminState University of Semarang5
Isa AkhlisState University of Semarang4
Stephani Diah PamelasariState University of Semarang4
Andin Vita AmaliaAffiliation unknown4
Sudarmin SudarminAffiliation unknown4
Rizki Nor AmeliaAffiliation unknown4
Sigit SaptonoState University of Semarang3
Muhamad TaufiqState University of Semarang3
Fidia FibrianaState University of Semarang3
Luthfi Hanum SaputriAffiliation unknown3
yeni setyowatiAffiliation unknown3
Sri SukaesihState University of Semarang2
Irfan Ihza WardanaAffiliation unknown2
Saiful RidloState University of Semarang2
Arka YanitamaState University of Semarang2
Melissa Salma DarmawanState University of Semarang2
Ani RusilowatiState University of Semarang1
Sri haryaniState University of Semarang1
Shangeetavaani KannapiranSultan Idris Education University1
S W A WibowoAffiliation unknown1
Kasmui KasmuiState University of Semarang1
Mahfud SyahroniAffiliation unknown1
D. W. MaharaniState University of Semarang1
V. A. C. SaputriState University of Semarang1
Wiwi IsnaeniState University of Semarang1
A. KurniawatiState University of Semarang1
Budi SantosoUniversity of Mataram1
Shinta RatnawatiAffiliation unknown1
Rahma Wulan IdayantiAffiliation unknown1
M. Haris SeptianAffiliation unknown1
Nadia Ade LutfianaAffiliation unknown1
Alfiana Nur Rosita MayantiAffiliation unknown1
Luky HidayatAffiliation unknown1

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/jise/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">AI-TPACK Integration to Bridge Digital and Environmental Literacy in Science Education for SDGs</dc:title>
	<dc:creator xml:lang="en">Aldila, Litasari </dc:creator>
	<dc:creator xml:lang="en">Dewi, Novi Ratna</dc:creator>
	<dc:creator xml:lang="en">Aji, Septiko</dc:creator>
	<dc:creator xml:lang="en">Rahayu, Ayu</dc:creator>
	<dc:subject xml:lang="en">AI-TPACK</dc:subject>
	<dc:subject xml:lang="en">Digital Literacy</dc:subject>
	<dc:subject xml:lang="en">environmental literacy </dc:subject>
	<dc:subject xml:lang="en">Science Education</dc:subject>
	<dc:subject xml:lang="en">Sustainable Development Goals</dc:subject>
	<dc:description xml:lang="en">The rapid development of Artificial Intelligence (AI) has shifted science education towards reflective, data-driven, and sustainability-oriented learning. Within this context, the AI-Technological Pedagogical Content Knowledge (AI-TPACK) framework positions AI as a scientific thinking partner and a tool for ecological exploration. This study examines AI-TPACK as a bridge between digital and environmental literacy to support Sustainable Development Goals (SDGs). Using a semi-systematic review—combining bibliometric analysis and qualitative synthesis of publications from 2015–2025 via the Publish or Perish application—this research outlines trends linking AI-TPACK to these literacies. Results indicate that AI-TPACK transforms 21st-century science education by enabling AI-driven data exploration for social and environmental issues. Digital literacy develops through scientific data analysis, while environmental literacy grows from ecological awareness and sustainability inquiry. Their synergy advances SDG 4 (Quality Education), SDG 13 (Climate Action), and SDG 15 (Life on Land) by enhancing pedagogical competence, analytical skills, and data-based conservation awareness. This study contributes to the conceptual development of AI-TPACK as an integrative framework linking digital and environmental literacy in sustainability-oriented science education.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-04-30</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/jise/article/view/48642</dc:identifier>
	<dc:identifier>10.15294/jise.v15i1.48642</dc:identifier>
	<dc:source xml:lang="en">Journal of Innovative Science Education; Vol. 15 No. 1 (2026): April 2026; 77-86</dc:source>
	<dc:source>2502-4523</dc:source>
	<dc:source>2252-6412</dc:source>
	<dc:source>10.15294/jise.v15i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jise/article/view/48642/10132</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Journal of Innovative Science Education</dc:rights>
</oai_dc:dc>