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These domains are used by educators to structure curricula, assessments, and teaching methods to foster different types of learning. The cognitive domain, the most widely recognized component of the taxonomy, was originally divided into six levels: Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation.
This list of Internet top-level domains (TLD) contains top-level domains, which are those domains in the DNS root zone of the Domain Name System of the Internet. A list of the top-level domains by the Internet Assigned Numbers Authority (IANA) is maintained at the Root Zone Database. [1]
A public domain database of crowdsourced data across a wide range of dialects. Validation by other users . English: 1,118 hours MP3 with corresponding text files Speech recognition 2017 June (2019 December) [135] Mozilla: LJSpeech A single-speaker corpus of English public-domain audiobook recordings, split into short clips at punctuation marks.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
TPACK domains and related subdomains address the complex nature of teaching effectively with appropriate technologies. [9] [16] While the different domains and subdomains can be explored as separate skill concepts, domains and subdomains were conceptualized to work in synergistic reciprocity meaning that the knowledge is not entirely separate indicating the intersectionality of each area.
In 1999 an article in Mother Earth News quoted an authority on distance education as saying, "Anyone who has the necessary $70 can register an edu domain name and use it to archive any type of enterprise on the Internet." [10] In 2001, the domain was restricted to U.S.-accredited postsecondary educational institutions. [3]
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The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]