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Learning basic physics in Pharmacy Study Program with systems thinking skills needed by pharmacy students Meiry Akmara Dhina; Ida Kaniawati; Yusi Riksa Yustiana
Momentum: Physics Education Journal Vol. 8 No. 1 (2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v8i1.8457

Abstract

This research is a preliminary study aimed at analyzing the methods of teaching basic physics applied in the pharmacy program, as well as its implications for the relevance of physics concepts in pharmacy courses and the development of students' system thinking skills. A cross-sectional survey method was used, employing a structured questionnaire based on the Likert scale, involving physics course instructors from private and public universities. The research findings indicate that, although basic physics has significant potential in contributing to the development of the system thinking skills required by pharmacy graduates, challenges in integrating physics concepts with pharmacy courses still exist. The pharmacy curriculum's focus on pharmaceutical and health aspects may overlook students' understanding of basic physics. Therefore, the importance of developing teaching methods and physics laboratory practices that are appropriate for the pharmacy context becomes clearer. This research concluded that there is a need for the development of more suitable learning methods for basic physics courses in the pharmacy program, with an emphasis on developing system thinking skills crucial in the field of health, and the integration of pharmacy laboratories as a learning support. This is expected to enhance the understanding of physics concepts in the pharmacy context and build relevant system thinking skills for graduates of the pharmacy program.
The New Educational Frontier: Agentic AI's Evolutionary Journey Through The Lens of SPAR-4-SLR Sugeng Rifqi Mubaroq; Mokhamad Arfan Wicaksono; Sherly Rahmawati; Iyan Gustiana; Meiry Akmara Dhina
VOCATECH: Vocational Education and Technology Journal Vol 7, No 2 (2025): December
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v7i2.249

Abstract

AbstractThe emergence of Agentic Artificial Intelligence (AI) represents a fundamental transformation in educational technology, characterized by systems capable of autonomous, adaptive, and proactive operation. This systematic literature review employs the SPAR-4-SLR methodology to analyze 281 publications from Scopus, with 251 articles retained after temporal filtering (2010-2024), revealing the evolutionary trajectory of Agentic AI in education. The analysis identifies three distinct evolutionary eras: the Early Era (2010-2015) characterized by rule-based intelligent tutoring systems exhibiting proto-agentic behaviors, the Transitional Era (2016-2019) marked by enhanced adaptive systems leveraging learning analytics and machine learning, and the Agentic Era (2020-2024) distinguished by sophisticated autonomous systems powered by Large Language Models. Through integrated bibliometric, co-occurrence network, and thematic analyses, the study establishes a conceptual framework encompassing five defining characteristics of Agentic AI: learning initiative, dynamic adaptability, multi-modal interaction, persistence and memory, and collaboration with human actors. Co-citation network analysis reveals the intellectual structure connecting foundational intelligent tutoring research to contemporary generative AI applications. Despite exponential growth in publications, significant gaps persist in theoretical conceptualization of agency, longitudinal impact evidence, and implementation across diverse educational contexts, particularly at primary education levels. This study provides a comprehensive research agenda addressing theoretical, methodological, and implementation gaps to advance the effective and equitable development of Agentic AI in education. AbstrakKemunculan Agen Artificial Intelligence (AI) merepresentasikan transformasi fundamental dalam teknologi pendidikan, yang dicirikan oleh sistem yang mampu beroperasi secara otonom, adaptif, dan proaktif. Tinjauan literatur sistematis ini menggunakan metodologi SPAR-4-SLR untuk menganalisis 281 publikasi dari Scopus, dengan 251 artikel dipertahankan setelah penyaringan temporal (2010-2024), mengungkap trajektori evolusi Agen AI dalam pendidikan. Analisis mengidentifikasi tiga era evolusi yang berbeda: Era Awal (2010-2015) yang dicirikan oleh sistem tutoring cerdas berbasis aturan yang menunjukkan perilaku proto-agentik, Era Transisional (2016-2019) yang ditandai oleh sistem adaptif yang memanfaatkan analitik pembelajaran dan pembelajaran mesin, dan Era Agentik (2020-2024) yang dibedakan oleh sistem otonom yang canggih dan didukung oleh Model Bahasa Besar. Melalui analisis bibliometrik, jaringan ko-okurensi, dan tematik yang terintegrasi, studi ini menetapkan kerangka konseptual yang mencakup lima karakteristik pendefinisi Agen AI: inisiatif pembelajaran, adaptabilitas dinamis, interaksi multi-modal, persistensi dan memori, serta kolaborasi dengan aktor manusia. Analisis jaringan ko-sitasi mengungkap struktur intelektual yang menghubungkan penelitian tutoring cerdas fundamental dengan aplikasi AI generatif kontemporer. Meskipun terjadi pertumbuhan eksponensial dalam publikasi, kesenjangan signifikan masih tetap ada dalam konseptualisasi teoretis mengenai agensi, bukti dampak longitudinal, dan implementasi di berbagai konteks pendidikan, khususnya pada tingkat pendidikan dasar. Studi ini menyediakan agenda penelitian komprehensif yang mengatasi kesenjangan teoretis, metodologis, dan implementasi untuk memajukan pengembangan Agen AI yang efektif dan berkeadilan dalam pendidikan.
Development and content validation of STIL.sg instrument for measuring system thinking and generic science skills in socio-technical contexts Meiry Akmara Dhina; Ida Kaniawati; Ade Gafar Abdullah; Lilik Hasanah; Sugeng Rifqi Mubaroq
Journal of Environment and Sustainability Education Vol. 4 No. 2 (2026)
Publisher : Education and Development Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62672/joease.v4i2.145

Abstract

This research presents the systematic development of the STIL.sg instrument for measuring System Thinking and Generic Science Skills in Socio-Technical Inquiry Learning contexts, followed by rigorous content validation through structured expert judgment. Using Evidence-Centered Design approach, a 27-item multiple-choice instrument was first developed based on established theoretical frameworks; the instrument was subsequently subjected to content validation by a panel of domain experts. Content validation involved five experts from science education, learning evaluation, and pharmacy fields. The Content Validity Ratio (CVR) values ranged from 0.68 to 0.94, with an overall Content Validity Index (CVI) of 0.784, indicating excellent content validity. Modified Kappa coefficients (κ) ranged from 0.65 to 0.89, confirming inter-rater reliability. Physical pharmacy was chosen as the application context due to its interdisciplinary nature requiring both systematic thinking and fundamental scientific skills. The developed instrument demonstrates strong theoretical foundation and expert consensus, providing a tool with strong evidence of content validity for measuring complex cognitive skills in applied science education.