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Infografis Digital sebagai Media Pembelajaran Microteaching dalam Meningkatkan Keterampilan Dasar Mengajar Calon Guru Kuliner Yulianti, Yeni; Kandriasari, Annis; Febriana, Rina
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 6 No. 2 (2026): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2026 (2)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v6i2.4203

Abstract

Penelitian ini bertujuan untuk menganalisis peran infografis digital sebagai media pembelajaran microteaching dalam meningkatkan keterampilan dasar mengajar calon guru kuliner. Metode penelitian yang digunakan adalah penelitian dan pengembangan dengan tahapan analisis kebutuhan, perancangan infografis digital, validasi ahli, serta uji coba terbatas pada mahasiswa calon guru kuliner pada pendekatan model Lee and Owens. Teknik pengumpulan data meliputi observasi, angket, dan dokumentasi, sedangkan analisis data dilakukan secara deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa infografis digital dinilai layak dan efektif sebagai media pembelajaran microteaching, ditinjau dari aspek tampilan, kejelasan materi, dan kemudahan pemahaman. Penggunaan infografis digital mampu meningkatkan pemahaman mahasiswa terhadap keterampilan dasar mengajar, seperti membuka pembelajaran, menjelaskan materi, mengelola kelas, dan memberikan umpan balik. Simpulan penelitian ini menyatakan bahwa infografis digital dapat digunakan sebagai media pembelajaran alternatif yang inovatif dan edukatif dalam pembelajaran microteaching bagi calon guru kuliner.
Ontological, Epistemological, and Axiological Foundations for AI based Learning Models: An Integrative Literature Review Emita, Cicilia; Falah, Rivan Syahrul; Muslim, Suyitno; Djatmiko, Wisnu; Kandriasari, Annis
Ilomata International Journal of Social Science Vol. 7 No. 2 (2026): April 2026
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v7i2.2087

Abstract

This paper examines the philosophical foundations of AI based learning models by integrating ontological, epistemological, and axiological perspectives into a unified conceptual framework. Although artificial intelligence has rapidly transformed educational environments, prior research has largely examined these philosophical dimensions in isolation, resulting in fragmented guidance for design and implementation. To address this gap, this study develops an integrative tripartite framework that explains how ontological structures, epistemological processes, and axiological principles jointly shape AI supported learning systems. Using an integrative literature review, this study analyses thirty two Scopus indexed journal articles published between 2015 and 2025, complemented by foundational philosophical works. Thematic synthesis identifies three interdependent components of AI based learning: the ontological dimension structures learners, data, algorithms, and educational contexts; the epistemological dimension explains how knowledge is co constructed, validated, and negotiated between humans and intelligent systems; and the axiological dimension articulates the values governing AI use, including human agency, fairness, accountability, and ethical responsibility. The main contribution of this study is a coherent conceptual framework with clearly defined components and application pathways for guiding the design, evaluation, and governance of AI based learning models. The novelty lies in explicitly integrating ontology, epistemology, and axiology into a single model, moving beyond prior fragmented approaches. The findings position AI integration as a multidimensional educational challenge rather than a purely technical endeavour and provide a structured foundation for developing AI supported learning systems that are pedagogically meaningful, ethically grounded, and socially responsible.