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Sukaria, Muhammad Ikhsan
Universitas Negeri Makassar
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Journal : Information Technology Education Journal

 1 
TPACK and Digital Science Literacy: Correlational Insights from Preservice Science Teachers Sukaria, Muhammad Ikhsan; Nursalim
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.10177

Abstract

Integrating technology into primary science education requires preservice teachers to develop robust Technological Pedagogical Content Knowledge (TPACK) alongside Digital Science Literacy (DSL). This study tests the correlation between TPACK and DSL among preservice primary teachers engaged in designing digitally enhanced science lessons. A cross-sectional correlational design was used with validated instruments for TPACK and DSL (Cronbach's α = 0.95 and 0.92). Descriptive statistics and Pearson correlation were computed with 95% confidence intervals. Results indicate a medium, positive association (r = 0.41, p < .001), strongest for advanced indicators—data interpretation and variable identification/control—compared with foundational indicators such as observation and classification. Findings suggest that pedagogically grounded technology integration aligns with critical evaluation and use of scientific information in digital environments. Programs should prioritize inquiry- and project-based tasks that require designing technology-enhanced lessons, analyzing empirical data (e.g., simulations/virtual experiments), and constructing evidence-based arguments. The study contributes empirical support for linking TPACK development with DSL outcomes in preservice science education and offers actionable guidance for curriculum and assessment design.
Evaluating the Credibility of AI-Based Authentic Assessment in Early Numeracy Education: A Systematic Review Nursalim; Muhammad Ikhsan Sukaria
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.10119

Abstract

This study systematically reviews the credibility of artificial intelligence (AI)–based authentic assessment in evaluating numeracy achievement among early-grade primary students. The growing use of AI in educational assessment—ranging from automated scoring to adaptive feedback—has raised questions regarding its validity, reliability, and fairness. Using a qualitative descriptive approach through a systematic literature review, this study synthesizes eighteen high-quality publications issued between 2020 and 2025 from major academic databases. Thematic analysis identifies three interrelated findings. First, algorithmic accuracy must be complemented by human validation to prevent bias and preserve contextual meaning. Second, collaboration between teachers and AI systems enhances interpretive credibility and fosters reflective learning practices. Third, integrating AI ethics and literacy within primary school curricula is essential to ensure fair and transparent assessment outcomes. The results indicate that credible AI-based evaluation depends not solely on computational precision but also on socially grounded interpretation supported by ethical and pedagogical principles. Theoretically, this study reinforces Vygotsky’s social constructivist perspective and the Assessment for Learning (AfL) paradigm, positioning AI as a cognitive scaffold that enables reflective interaction among students, teachers, and technology. Practically, it offers implications for educational policy in Indonesia’s Merdeka Curriculum, emphasizing teacher training, ethical guidelines, and algorithmic transparency to promote equitable digital learning ecosystems. This study uniquely integrates AI assessment credibility with the context of early numeracy, providing original insights and advancing theoretical discourse on ethical, human-centered, and contextually responsive digital assessment practices in primary education.
Co-Authors Ainun Oktaviani Andika marsuki Asriadi Asriadi Asriadi Awaluddin Muin Dewiyanti Fadly Elfira Jumrah Fandi Ahmad Hardin Hasri Hasri Ibrahim Idris Jafar Makmur Nurdin, Makmur Marzuki, Andika Muhammad Idris Jafar Nur, Muhammad Awal Nursalim Nursalim Nursalim Nursalim Rini Perdana Risnah, Indah Ayu Shabir, Achmad Sitti Rahmi Sugian Nur Wijaya Sugian Nurwijaya Sumiati Side Syarifuddin Vika Puji Cahyani Zubair, Sakinah