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Teknologi Pembelajaran
Pengaruh perubahan global menjadi dampak utama pergeseran dinamika pembelajaran terutama karena kemajuan teknologi. Peralihan era Revolusi Industri 4.0 menuju Society 5.0 adalah bentuk kemajuan teknologi modern yang semakin cepat. Dunia pendidikan perlu peka terhadap perkembangan zaman dan teknologi. Perkembangan ini dijadikan sebagai peluang untuk memajukan pengetahuan, menengahi dan meningkatkan pembelajaran sesuai dengan tujuan dari AECT. Era Society 5.0 menjadi sebuah “solusi” dari Revolusi Industri 4.0, di mana banyak masyarakat beranggapan bahwa Industri 4.0 akan menggunakan mesin-mesin berteknologi canggih yang akan menekan jumlah pekerjaan yang dilakukan oleh tenaga manusia. Soci...
Kurikulum Merdeka pada Pembelajaran di Madrasah
Buku “Kurikulum Merdeka pada Pembelajaran di Madrasah” menggambarkan visi baru dalam dunia pendidikan, di mana siswa diberdayakan untuk menjadi individu yang kreatif, berpikiran bebas, dan mampu menghadapi tantangan masa depan. Oleh karena itu, pada Kurikulum Merdeka, terdapat unsur Projek Penguatan Profil Pelajar Pancasila, yang mana merupakan kegiatan kokurikuler berbasis projek yang dirancang untuk menguatkan upaya pencapaian kompetensi dan karakter sesuai dengan profil pelajar Pancasila yang disusun berdasarkan Standar Kompetensi Lulusan. Selain Profil Pelajar Pancasila, Kementerian Agama Republik Indonesia menambahkan Profil Pelajar Rahmatan lil Alamin yang diberlakukan di Madrasah,...
Performance/Art
Performance/Art explores the phenomenology of skilled performance, ranging from athletics to the performing arts, including music, dance and acting. Gallagher reviews a variety of studies concerning different degrees of mindful awareness operative in performance, and builds on the concept of a meshed architecture, suggesting ways to make it more complex and dynamic. He draws on ideas from enactivist embodied cognition about how different types of movement can be meaningful and intelligent and can scaffold learning and problem solving. He also explicates the notion of an empathic mindfulness in performance and develops the idea of a double attunement to explain aesthetic experience in performance, distinguishing the latter from aesthetic experience in the observer/audience perspective.
Operina
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Applied Mathematics for Database Professionals
This book touches on an area seldom explored: the mathematical underpinnings of the relational database. The topic is important, but far too often ignored. This is the first book to explain the underlying math in a way that’s accessible to database professionals. Just as importantly, if not more so, this book goes beyond the abstract by showing readers how to apply that math in ways that will make them more productive in their jobs. What’s in this book will "open the eyes" of most readers to the great power, elegance, and simplicity inherent in relational database technology.
Low-Cost Methods for Molecular Characterization of Mutant Plants
This book offers low-cost and rapid molecular assays for the characterization of mutant plant germplasm. Detailed protocols are provided for the desiccation of plant tissues; the extraction of high-quality DNA for downstream applications; the extraction of single-strand-specific nucleases for single nucleotide polymorphism; and small insertion/deletion discovery using standard agarose gel electrophoresis. The methods described can be applied in any laboratory equipped for basic molecular biology and do away with the need for expensive freezers and toxic organic compounds. With the appropriate validation of sample quality and longevity, they can provide sufficient DNA for a variety of molecular applications, such as marker studies and TILLING, at approximately one tenth of the cost per sample when compared to commercial kits.
Predictive Analytics Applications with WEKA
This module offers a simple way yet interesting approach in applying data mining tools such as Waikato Environment for Knowledge Analysis (WEKA), an open source machine learning software. The practical hands-on of the tools and techniques for machine learning used in data mining is described step-by-step in five sub-modules. For each sub-module, a description about the topic is given for a better understanding. Inside, you'll learn about preparing the data, data cleaning, modelling, and results evaluation. The module ends by providing a check-list activity and common error that you may encounter. Three case studies are demonstrated from different sources of dataset using the features offered in WEKA. The module would be a good source for hands-on-introduction to machine learning algorithms with no extensive background in mathematic required. Predictive Analytics Applications with WEKA is an accessible introduction to this rapidly growing industry and suit for any students and researchers looking for a simple predictive analytics exercise.
