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Cartopedia: The Ultimate World Reference Atlas; Celestia; Google Earth - (proprietary license); Gravit - a free (GPL) Newtonian gravity simulator; KGeography; KStars; NASA World Wind - free software (NASA open source)
Name License Free-of-charge version available Spaced repetition Number of sides Supports Unicode Supports image Supports audio Other formats Printable Import-export Supports sync Plugin support Working offline Anki: AGPLv3 (personal computer, Android), proprietary Yes (except iOS) Yes Multiple Yes Yes Yes Video, LaTeX, HTML: Plugin [1] Yes Yes Yes
Digital media in education refers to an individual's ability to access, analyze, evaluate, and create media content and communication in various forms. [1] This includes the use of multiple digital software applications, devices, and platforms as tools for learning. The integration of digital media in education has been increased over time ...
As an example of how confusing this had become Singh and Thurman (2019) [1] identified 46 definitions for online learning. The name 'digital learning' has gained popularity as a way to encompasses the aforementioned concepts and others. The scope of Digital learning is wide, including any teaching strategy or resource that involves technology. [2]
Digital life and technology, Education and training, Health, Environment and sustainable development, Physics and Chemistry, IT and programming, Political science and international relations, Law, Economy and management, Life Sciences Free access to courses, free and paid certification [1] French, English, Spanish, Arabic, Chinese Non-profit 2013
Digital pedagogy is the part of pedagogy that studies the design, implementation and evaluation of educational situations comprising a significant component of digital technologies, as well as the necessary conditions for their implementation – synchronous and asynchronous interactions in virtual and mixed learning environments, learning ...
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Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...