Level of support for evolutionThe level of support for evolution among scientists, the public, and other groups is a topic that frequently arises in the creation–evolution controversy, and touches on educational, religious, philosophical, scientific, and political issues. The subject is especially contentious in countries where significant levels of non-acceptance of evolution by the general population exists, but evolution is taught at public schools and universities.
Unilineal evolutionUnilineal evolution, also referred to as classical social evolution, is a 19th-century social theory about the evolution of societies and cultures. It was composed of many competing theories by various anthropologists and sociologists, who believed that Western culture is the contemporary pinnacle of social evolution. Different social status is aligned in a single line that moves from most primitive to most civilized. This theory is now generally considered obsolete in academic circles.
Knowledge sharingKnowledge sharing is an activity through which knowledge (namely, information, skills, or expertise) is exchanged among people, friends, peers, families, communities (for example, Wikipedia), or within or between organizations. It bridges the individual and organizational knowledge, improving the absorptive and innovation capacity and thus leading to sustained competitive advantage of companies as well as individuals. Knowledge sharing is part of the knowledge management process.
Creation and evolution in public educationThe status of creation and evolution in public education has been the subject of substantial debate and conflict in legal, political, and religious circles. Globally, there is a wide variety of views on the topic. Most western countries have legislation that mandates only evolutionary biology is to be taught in the appropriate scientific syllabuses.
Machine learningMachine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines 'discover' their 'own' algorithms, without needing to be explicitly told what to do by any human-developed algorithms. Recently, generative artificial neural networks have been able to surpass results of many previous approaches.
Inquiry-based learningInquiry-based learning (also spelled as enquiry-based learning in British English) is a form of active learning that starts by posing questions, problems or scenarios. It contrasts with traditional education, which generally relies on the teacher presenting facts and their knowledge about the subject. Inquiry-based learning is often assisted by a facilitator rather than a lecturer. Inquirers will identify and research issues and questions to develop knowledge or solutions.
Organizational learningOrganizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as it gains experience. From this experience, it is able to create knowledge. This knowledge is broad, covering any topic that could better an organization. Examples may include ways to increase production efficiency or to develop beneficial investor relations. Knowledge is created at four different units: individual, group, organizational, and inter organizational.
National Center for Science EducationThe National Center for Science Education (NCSE) is a not-for-profit membership organization in the United States whose stated mission is to educate the press and the public on the scientific and educational aspects of controversies surrounding the teaching of evolution and climate change, and to provide information and resources to schools, parents, and other citizens working to keep those topics in public school science education.
Knowledge graphIn knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of entities - objects, events, situations or abstract concepts - while also encoding the semantics underlying the used terminology. Since the development of the Semantic Web, knowledge graphs are often associated with linked open data projects, focusing on the connections between concepts and entities.
Evolution of human intelligenceThe evolution of human intelligence is closely tied to the evolution of the human brain and to the origin of language. The timeline of human evolution spans approximately seven million years, from the separation of the genus Pan until the emergence of behavioral modernity by 50,000 years ago. The first three million years of this timeline concern Sahelanthropus, the following two million concern Australopithecus and the final two million span the history of the genus Homo in the Paleolithic era.
