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"Argues that what makes AI socially relevant and useful is not intelligence at all but something even more human: communication. If machines are going to improve their ability to address ever more important human issues, it will not be because they have learned to think like people, but because we have learned to communicate with them"--
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Today, new technologies bring with them an everchanging panorama, forcing us to constantly update our knowledge. For this reason, quality education is necessary in all areas of knowledge and at all educational levels. The quality of our educational systems and the questions raised by reviewing whether our educational institutions offer quality education or not are some of the main reasons why quality education is a topic that, in recent years, has captured the interest of governments, researchers and lecturers, among others. This issue brings together different socioeducational actors with their concerns for and commitments to higher education, in order to achieve the aim of providing people with the competencies necessary to adapt to a changing and competitive world, in which the individual needs to engage in lifelong learning and where education must align with sustainable development goals, such as democracy, justice and equality. All of this provides us with a scenario for reflecting on and researching fundamental questions, such as how to prevent school absenteeism, how to deal with students leaving school early, how to prevent or alleviate the phenomenon of dropping out in higher education, etc. In other words, can we assume that student failure is partly due to the failure of our educational systems? Are we educating self-regulated, critical, learning-motivated and competent students? These and other questions lead us to search for measures with which we can improve the quality of our educational systems by proposing strategies and developing tools to enhance the lecturing–learning processes in our classrooms.
higher education --- inclusive education --- disability --- technological platforms --- faculty members --- international students --- service quality evaluation --- perceived satisfaction --- sustainable higher education system --- China --- active learning --- career adaptability --- Hong Kong --- human resources management --- university students --- university teaching --- mobile-assisted language learning --- foreign language learning --- productive-receptive skills --- technology acceptance model --- WhatsApp --- Line App --- VET --- European --- validation principles --- Spain --- virtual meeting platform --- technology readiness --- social presence --- course satisfaction --- sustained use intention --- serial mediation --- science scenario --- collaborative problem solving --- behavioral transition patterns --- lag sequential analysis --- disadvantaged students --- higher education SPROUT project --- learning effects --- qualitative changes --- distance learning --- university authorities --- lecturers --- students --- cross-cultural pragmatic competence --- social context --- communicative dynamics in classroom situations --- EFL context --- online instruction --- students’ perceptions --- education quality --- online learning --- socioemotional competence --- models --- emotional intelligence --- social intelligence --- TAM Model --- learning analytics --- academic performance --- COVID-19
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"AI and the Technological Singularity: A Fallacy or a Great Opportunity" is a collection of essays that addresses the question of whether the technological singularity—the notion that AI-based computers can program the next generation of AI-based computers until a singularity is achieved, where an AI-based computer can exceed human intelligence—is a fallacy or a great opportunity. The group of scholars that address this question have a variety of positions on the singularity, ranging from advocates to skeptics. No conclusion can be reached, as the development of artificial intelligence is still in its infancy, and there is much wishful thinking and imagination in this issue rather than trustworthy data. The reader will find a cogent summary of the issues faced by researchers who are working to develop the field of artificial intelligence and, in particular, artificial general intelligence. The only conclusion that can be reached is that there exists a variety of well-argued positions as to where AI research is headed.
technological Singularity --- intelligence --- emotion --- artificial general intelligence --- artificial intelligence --- computer --- logic --- figure/ground --- computers --- consciousness --- singularity --- self --- futures --- technological singularity --- philosophy --- cosmic evolution --- anthropology --- technical singularity --- non-axiomatic reasoning system --- metasystem transitions --- patterns --- patterning --- cognition --- set theory --- language --- information --- abductive reasoning --- futurism and futurology --- hard science fiction --- models of consciousness --- intelligent machines --- machine replication --- machine evolution and optimization --- Turing test --- embodiment --- competition --- cooperation --- self-organization --- robots --- heterogeneity --- team sports --- artificial intelligence (AI) --- automated journalism --- robo-journalism --- writing algorithms --- future of news --- media ecology --- autogenous intelligence --- bootstrap fallacy --- recursive self-improvement --- self-modifying software --- superintelligence --- skepticism --- cyborg --- evolution --- love --- misinformation --- Technological Singularity --- Accelerated Change --- Artificial (General) Intelligence --- apophenia --- pareidolia --- complexity --- research focused social network --- networked minds --- complexity break --- complexity fallacy --- philosophy of information --- machine learning --- information quality --- information friction --- Artificial Intelligence (AI) --- Artificial General Intelligence (AGI) --- Artificial Social Intelligence (ASI) --- social sciences --- embodied cognition --- value alignment --- experience --- phenomenal consciousness --- access consciousness --- percept --- concept --- deep neural networks --- meaning --- understanding --- Singularity --- intuition --- wisdom
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Intelligence research is mainly concerned with basic science questions; what is the psychometric structure of intelligence? What are the cognitive bases of intelligence? What are the brain-based correlates of intelligence? What does intelligence predict? Such research is needed, but there are also problems larger than those presented in intelligence tests, including problems of today. What is the role of human intelligence in solving consequential real-world problems? Here, leading scholars in the field of intelligence each address one real-world problem—a problem of their choice—and explain how intelligence has been, or could be, essential for a solution.
intelligence --- IQ --- giftedness --- transactional giftedness --- transformational giftedness --- critical thinking --- real-world problems --- innovation --- talent selection and development --- gifted education --- social returns --- cognitive aptitudes and creativity --- grand societal challenges --- Sustainable Development Goals --- complex problems --- consequential world problems --- mental tests --- cognitive ageing --- cognitive epidemiology --- mortality --- cognitive development --- wisdom --- education --- conflict resolution --- problem-solving --- decision making --- history-wars --- Wechsler scales --- WAIS-IV --- federal judges --- Supreme Court --- fluid reasoning --- processing speed --- crystallized knowledge --- working memory --- aging-IQ research --- computerized adaptive testing --- test construction --- collective intelligence --- metacognition --- wellbeing --- inequity --- social issues --- functional literacy --- job complexity --- nonadherence to treatment --- noncommunicable disease --- diabetes --- diabetes self-management --- behavioral risk factors --- global burden of disease --- epidemiological transition --- social movements --- theory of social change, cultural evolution, and human development --- social intelligence --- practical intelligence --- abstract intelligence --- COVID-19 --- cultural evolution --- adaptive intelligence --- George Floyd protests --- higher-order thinking --- real-world environments --- infectious diseases
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