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Peran Penting "Friksi" dalam Pembelajaran di Era Generative AI

Introduction

Peran penting "friksi" dalam pembelajaran di era generative ai. Artikel ini menganalisis peran penting 'friksi' dalam pembelajaran di era Generative AI. Mengapa hambatan belajar esensial untuk pemikiran kritis & pembelajaran bermakna, bukan hanya efisiensi AI.

Abstract

Seiring dengan meningkatnya popularitas pemanfaatan alat-alat kecerdasan buatan generatif (Generative Artificial Intelligence) seperti ChatGPT dalam dunia pendidikan yang menjanjikan efisiensi dan pengalaman pembelajaran tanpa hambatan ("frictionless"), muncul pula perspektif kritis yang mempertanyakan dampaknya terhadap proses belajar-mengajar yang sesungguhnya. Artikel ini bertujuan untuk menganalisis secara teoritis pentingnya peran "friksi" atau hambatan dalam pembelajaran dan mengapa ia merupakan fitur esensial yang tidak dapat dihilangkan begitu saja dalam konteks pendidikan. Argumen utama yang diajukan adalah bahwa friksi, yang melibatkan upaya, alokasi waktu, dan penerapan pengetahuan sebelumnya, diperlukan agar pembelajaran yang bermakna dan berkelanjutan dapat terjadi. Melalui tinjauan literatur dari para pakar, kerangka teoritis dari pedagogi dan psikologi kognitif, serta diskusi implikasinya bagi para pendidik, artikel ini mengelaborasi bagaimana pendekatan kritis terhadap literasi AI yang justru menambah friksi dalam PROSIDING Vol.1 No.1 2022 SENTIKJAR 2 . sistem pembelajaran dapat memperkaya dan memperdalam proses belajar, alih-alih menghambatnya. Mempertanyakan dampak AI, menelaah keterbatasannya, mengeksplorasi bias yang terkandung, serta mendiskusikan aspek etisnya merupakan aktivitas yang dapat menstimulasi pemikiran kritis dan reflektif. Guru sebaiknya tidak hanya memburu efisiensi waktu melalui otomatisasi dan meniadakan friksi, melainkan memanfaatkan teknologi secara bijaksana sekaligus memperdalam keterlibatan siswa secara bermakna dalam proses pembelajaran.

Review

This theoretical article, "Peran Penting 'Friksi' dalam Pembelajaran di Era Generative AI," offers a compelling and critical counter-narrative to the prevailing discourse of "frictionless" learning promoted by the integration of generative AI tools like ChatGPT in education. The core argument is clear and well-articulated: "friction," encompassing deliberate effort, time allocation, and the application of prior knowledge, is not a barrier but an essential pedagogical feature. The paper robustly posits that these inherent challenges are indispensable for fostering truly meaningful and sustainable learning experiences, thus challenging the uncritical pursuit of efficiency in educational technology adoption. The strength of this article lies in its theoretical grounding, meticulously constructed through a review of expert literature and established frameworks from pedagogy and cognitive psychology. By drawing on these foundational disciplines, the authors effectively elucidate *why* embracing friction is crucial for deeper learning, rather than merely asserting it. The article proposes a practical and insightful approach to AI literacy, advocating for educational strategies that actively introduce friction by encouraging students to critically question AI's impact, scrutinize its limitations and inherent biases, and engage with its ethical dimensions. These activities are convincingly presented as catalysts for stimulating critical and reflective thinking, thereby enriching the learning process. The implications for educators are significant, providing a nuanced perspective that moves beyond simply automating tasks. The paper strongly advises teachers to leverage AI judiciously, prioritizing the deepening of student engagement and critical thought over mere time efficiency. This theoretical contribution serves as a vital call to action for educators to deliberately design learning environments that incorporate productive friction, fostering a more thoughtful and engaged student body. Ultimately, this article makes a substantial conceptual contribution to the ongoing debate on the responsible and effective integration of generative AI in educational contexts, laying crucial groundwork for future pedagogical innovation and research.

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