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Digital learning is learning that is supported by technology. [1] It encompasses any type of learning that is accompanied by technology or by instructional practice that makes effective use of technology. It includes a wide array of practices, including blended and virtual learning. A variety of names began to be used to denote education ...
Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done by a variety of applied psychologists and educators. [1] The learning material is in a kind of textbook or teaching machine or computer. The medium presents the material in a logical and tested ...
Kurt Friedrich Gödel (/ ˈ ɡ ɜːr d əl / GUR-dəl, German: [kʊʁt ˈɡøːdl̩] ⓘ; April 28, 1906 – January 14, 1978) was a logician, mathematician, and philosopher. ...
File:Menggunakan Wikipedia dalam Pembelajaran-Seri 1.pdf. Size of this JPG preview of this PDF file: 424 × 600 pixels. Other resolutions: 170 × 240 pixels | 339 × 480 pixels | 543 × 768 pixels | 1,239 × 1,752 pixels. Original file (1,239 × 1,752 pixels, file size: 3.09 MB, MIME type: application/pdf, 77 pages) Wikimedia Commons ...
A learning management system ( LMS) or virtual learning environment ( VLE) is a software application for the administration, documentation, tracking, reporting, automation, and delivery of educational courses, training programs, materials or learning and development programs. [1] The learning management system concept emerged directly from e ...
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Standpoint theory, also known as standpoint epistemology, [1] is a foundational framework in social theory that examines how individuals' unique perspectives, shaped by their social and political experiences, influence their understanding of the world. Standpoint theory proposes that authority is rooted in individuals' personal knowledge and ...
Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored ...