Literatura científica selecionada sobre o tema "Artifficial Intelligence in education"
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Artigos de revistas sobre o assunto "Artifficial Intelligence in education"
PANĂ-MICU, Florentina. "Future education and artifficial intelligence for education and training". Romanian Journal of Public Affairs 2022, n.º 06 (2022): 39–52. http://dx.doi.org/10.69581/rjpa.2022.06.01.
Texto completo da fonteYuwono, Teguh, Rahayu Repindowaty Harahap e Bernard Sipahutar. "Artificial Intelligence Dalam Autonomous Weapon Systems: Masalah Teknis atau Masalah Hukum?" Uti Possidetis: Journal of International Law 3, n.º 3 (11 de outubro de 2022): 293–319. http://dx.doi.org/10.22437/up.v3i3.19412.
Texto completo da fonteKanaya, Tomoe. "Intelligence in Education". Journal of Intelligence 7, n.º 1 (4 de março de 2019): 8. http://dx.doi.org/10.3390/jintelligence7010008.
Texto completo da fonteKim, Sung-ae. "Technology Education ofArtiGcial Intelligence Education, by ArtiGcial Intelligence, for Artificial Intelligence, shall not perish from Korea?" IJASC 3, n.º 1 (31 de março de 2021): 21–28. http://dx.doi.org/10.22662/ijasc.2021.3.1.021.
Texto completo da fonteMeza, Jaime, Josep M. Monguet, Francisca Grimón e Alex Trejo. "Fostering collective intelligence education". EAI Endorsed Transactions on e-Learning 3, n.º 11 (15 de junho de 2016): 151448. http://dx.doi.org/10.4108/eai.15-6-2016.151448.
Texto completo da fonteKeidar, Daniella. "Emotional Intelligence and Education". Studia Edukacyjne 37 (2015): 327–48. http://dx.doi.org/10.14746/se.2015.37.19.
Texto completo da fonteRadford, Mike. "Emotional Intelligence and Education". International Journal of Children's Spirituality 8, n.º 3 (janeiro de 2003): 255–68. http://dx.doi.org/10.1080/1364436x.2003.10807115.
Texto completo da fonteAlbers, Guenter. "Artificial intelligence and education". Education and Computing 1, n.º 4 (janeiro de 1985): 275–77. http://dx.doi.org/10.1016/s0167-9287(85)92849-3.
Texto completo da fonteLikova-Arsenova, Vassya. "Artificial Intelligence in Education". Педагогически форум 8, n.º 3 (2020): 49–56. http://dx.doi.org/10.15547/pf.2020.022.
Texto completo da fonteBatty, G. D., M. Kivimaki e I. J. Deary. "Intelligence, education, and mortality". BMJ 340, apr27 3 (27 de abril de 2010): c563. http://dx.doi.org/10.1136/bmj.c563.
Texto completo da fonteTeses / dissertações sobre o assunto "Artifficial Intelligence in education"
Abdelghani, Rania. "Guider les esprits de demain : agents conversationnels pour entraîner la curiosité et la métacognition chez les jeunes apprenants". Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0152.
Texto completo da fonteEpistemic curiosity—the desire to actively seek information for its inherent pleasure—is a complex phenomenon extensively studied across various domains. Several researchers in psychology, neuroscience, and computer science have repeatedly highlighted its foundational role in cognitive development and in fostering lifelong learning. Further, epistemic curiosity is considered key for cultivating a flexible mindset capable of adapting to the world’s uncertainties. These insights have spurred significant interest in the educational field, recognizing curiosity as essential for helping individuals be active and in control of their learning. These properties are crucial for addressing some of today’s major educational challenges, namely offering students individualized support to suit their competencies and motivations, and helping them become able to learn autonomously and independently in their dynamic and uncertain environments. Despite this well-documented importance of curiosity in education, its practical implementation and promotion in the classroom remains limited. Notably, one of the primary expressions of curiosity— question-asking (QA)—is nearly absent in most of today’s educational settings. Several reports show that students often spend a lot of time answering teachers’ questions rather than asking their own. And when they do ask questions, they are typically low-level and memory-based, as opposed to curious questions that seek novel information. In this context, this thesis aims to develop educational technologies that can foster children’s curiosity-driven learning by practicing curious QA behaviors, and their related metacognitive (MC) skills. Ultimately, we implemented interventions to train three dimensions: 1) Linguistic QA Skills: We implement a conversational agent to train the ability to formulate curious questions using compound questioning words and correct interrogative constructions. It helps children generate curious questions during reading-comprehension tasks, by providing specific cues. The effectiveness of different cue structures (a sentence vs. series of keywords) and implementations (hand-generated vs. GPT-3-generated content) is studied. 2) Curiosity-related metacognitive Skills: We create animated videos to give declarative knowledge about curiosity and its related MC skills: the ability to self reflect, make educated guesses, formulate efficient questions, and evaluate newly-acquired information. We also propose sessions to practice these skills during reading-comprehension tasks using specific cues given by conversational agents we designed to train procedural MC. 3) Social Perceptions and beliefs: We create animated videos to address the negative constructs learners tend to have about curiosity. They explain the importance of curiosity and how to control it during learning. Over 150 French students aged 9 to 11 were recruited to test these trainings of the three dimensions. Combined, these latter enhanced students’ MC sensitivity and perception of curiosity. At their turn, these factors facilitated students’ divergent QA behaviors which, at their turn, led to stronger learning progress and positive, affordable learning experiences. But despite the positive results, our methods had limitations, particularly their short duration. We suggest testing longer-lasting interventions to examine their long-term effects on curiosity. Finally, this thesis highlights the need to continue exploring QA and MC research in the age of Generative Artificial Intelligence (GAI). Indeed, while GAI facilitates access to information, it still requires good QA abilities and MC monitoring to prevent misinformation and facilitate its detection. We thus propose a framework to link efficient GAI use in education to QA and MC skills, and GAI literacy. We also present a behavioral study we intend to conduct to test this framework
Corso, Lisa. "Social Intelligence: Social Skills Competence and Emotional Intelligence in Gifted Adolescents". TopSCHOLAR®, 2002. http://digitalcommons.wku.edu/theses/647.
Texto completo da fonteAllen, Margaret. "Investigating Emotional Intelligence in Children: Exploring its Relationship to Cognitive Intelligence". TopSCHOLAR®, 2000. http://digitalcommons.wku.edu/theses/708.
Texto completo da fonteMcKinley, Sophia Kim. "The Emotional Intelligence of Resident Physicians". Thesis, Harvard University, 2014. http://etds.lib.harvard.edu/hms/admin/view/50.
Texto completo da fonteKendra, Melanie A. "An Exploration of Musical Intelligence". Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/32840.
Texto completo da fonteMaster of Science
Weigand, Robert. "Identifying Emotional Intelligence and Metacognition in Medical Education". Thesis, University of New England, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10798589.
Texto completo da fonteAn extensive literature review identified emotional intelligence and metacognition had not been examined in medical education as integrated concepts in the reflective practice of medical residents. Continued research into the independent application of these concepts in medical education maintains a perspective that has permeated medical literature for 20 years. Research into emotional intelligence and metacognitive functioning and its’ influence on reflective practice in medical education acknowledges the need for more taxonomies of knowledge and skills. A quantitative correlational study was conducted utilizing Family Practice residents. Three valid and reliable assessment tools identified as the MSCEIT, MAI and Groningen were used in this study to determine emotional intelligence, metacognitive ability and reflective ability in Family Practice residents. Findings did not refute the null hypothesis identified as no statistical relationship exists between emotional intelligence and metacognition. Scores between males and females in emotional intelligence appeared descriptively different but not statistically significant. Emotional intelligence and metacognition did not predict strength in reflective ability based on residency year. Descriptive findings indicated female residents scored higher in perceiving emotions while male residents scored higher in thinking about their feelings. Female Family Practice residents scored higher than male Family Practice residents in metacognition each residency year. Females also scored higher than males in reflective practice in each of the three residency years. The small sample size in this study was an acknowledged limitation. Additional qualitative and quantitative research needs to be conducted to learn more about the integration of these three concepts in medical education. iv
Farmer, Sabrina D. "Application of emotional intelligence in elementary education classrooms". [Denver, Colo.] : Regis University, 2008. http://165.236.235.140/lib/SFarmer2008.pdf.
Texto completo da fonteDoak, Jennifer Nicole. "The effect of character education on emotional intelligence". [Huntington, WV : Marshall University Libraries], 2009. http://www.marshall.edu/etd/descript.asp?ref=964.
Texto completo da fonteRoy, Shelly Rose. "Leading with trait emotional intelligence in the higher education classroom| An exploratory study investigating trait emotional intelligence in higher education faculty members". Thesis, University of Charleston - Beckley, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3563237.
Texto completo da fonteAccording to Mortiboys (2012) and Powell and Kusuma-Powell (2010) effective college professors have high levels of trait emotional intelligence (trait EI). Consequently, this dissertation performed a one-way Analysis of Variance (ANOVA) in order to determine the existence of a relationship between the trait EI skill levels of those faculty members who received awards for teaching excellence—award-winning professors (AWPs) and their non award-winning counterparts by comparing the scores of these two professor populations on the Trait Emotional Intelligence Questionnaire (TEIQue). The results of this ANOVA did not demonstrate any statistically significant relationship; however, when demographic variables, particularly gender, educational level, and institution entered the calculations, statistically significant relationships emerged. Finally, this dissertation also conducted semi-structured qualitative interviews with AWPs. A thematic analysis of these qualitative interviews demonstrated that AWPs practice trait EI skills when teaching in a variety of different ways, that different experiences enabled these individuals to learn trait EI skills and techniques, and that these AWPs are able to achieve a variety of results through their use of trait EI in the college classroom.
Brown, Nicole Renae Portell. "College Student Leadership Development Participation and Emotional Intelligence". Thesis, Lindenwood University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10036395.
Texto completo da fonteLeadership development has been identified as a key college outcome (Komives, Dugan, Owen, Slack, & Wagner, 2011). Emotional intelligence as a leadership development framework has shown promise in many applications (Petrides, 2011). Able to be augmented through purposeful training and practice, high levels of emotional intelligence have been linked to job performance, healthy relationships, and emotional well-being (Joseph, Jin, Newman, & O’Boyle, 2014). This study focused on changes in emotional intelligence as a metric for personal and professional development through a state university’s leadership program. Students’ self-reported change in global and factor emotional intelligence were measured utilizing the Trait Emotional Intelligence Questionnaire Short Form (TEIQue-SF) as a research tool (Zampetakis, 2011). Additionally, students completed a survey consisting of open-ended questions designed to facilitate the evaluation of student perceptions in relation to emotional intelligence competencies after completing the leadership program. No statistical differences could be observed in pre-and post-participation TEIQue-SF results. Student perceptions after program completion revealed participation impacted their perceptions of and approach to emotional intelligence competencies as well as leadership. Overall, students expressed a level of personal awareness and the ability to nurture relationships and seek leadership roles.
Livros sobre o assunto "Artifficial Intelligence in education"
Roll, Ido, Danielle McNamara, Sergey Sosnovsky, Rose Luckin e Vania Dimitrova, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78292-4.
Texto completo da fonteRoll, Ido, Danielle McNamara, Sergey Sosnovsky, Rose Luckin e Vania Dimitrova, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78270-2.
Texto completo da fonteRodrigo, Maria Mercedes, Noburu Matsuda, Alexandra I. Cristea e Vania Dimitrova, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11644-5.
Texto completo da fonteKeefer, Kateryna V., James D. A. Parker e Donald H. Saklofske, eds. Emotional Intelligence in Education. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90633-1.
Texto completo da fonteBittencourt, Ig Ibert, Mutlu Cukurova, Kasia Muldner, Rose Luckin e Eva Millán, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52237-7.
Texto completo da fonteBittencourt, Ig Ibert, Mutlu Cukurova, Kasia Muldner, Rose Luckin e Eva Millán, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52240-7.
Texto completo da fonteLane, H. Chad, Kalina Yacef, Jack Mostow e Philip Pavlik, eds. Artificial Intelligence in Education. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39112-5.
Texto completo da fonteBiswas, Gautam, Susan Bull, Judy Kay e Antonija Mitrovic, eds. Artificial Intelligence in Education. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21869-9.
Texto completo da fonteIsotani, Seiji, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren e Rose Luckin, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23204-7.
Texto completo da fonteIsotani, Seiji, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren e Rose Luckin, eds. Artificial Intelligence in Education. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23207-8.
Texto completo da fonteCapítulos de livros sobre o assunto "Artifficial Intelligence in education"
Furnham, Adrian. "Executive Education Excess". In Management Intelligence, 88–89. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230227439_28.
Texto completo da fonteVolz, Austin, Julia Higdon e William Lidwell. "Intelligence". In The Elements of Education for Teachers, 51–52. New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781315101002-26.
Texto completo da fonteEnnals, Richard. "Education". In Artificial Intelligence and Human Institutions, 33–51. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1735-3_3.
Texto completo da fonteLee, Raymond S. T. "Smart Education". In Artificial Intelligence in Daily Life, 301–20. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7695-9_11.
Texto completo da fontede Bem Machado, Andreia, Gertrudes Aparecida Dandolini, João Artur de Souza, Miltiades Demetrios Lytras e Maria José Sousa. "Artificial Intelligence". In Technologies for Sustainable Global Higher Education, 211–36. Boca Raton: Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003424543-11.
Texto completo da fonteTekerek, Adem, Seyhan Fırat, Aslihan Selcen Bingöl, Alper Güzel e Bülent Elbasan. "Assistive Technologies in Higher Education for Special Education". In Applied Intelligence and Informatics, 135–52. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0914-4_8.
Texto completo da fonteNagao, Katashi. "Artificial Intelligence in Education". In Artificial Intelligence Accelerates Human Learning, 1–17. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6175-3_1.
Texto completo da fonteHolmes, Wayne. "Artificial Intelligence in Education". In Encyclopedia of Education and Information Technologies, 88–103. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10576-1_107.
Texto completo da fonteFlores-Mendoza, Carmen, Rubén Ardila, Ricardo Rosas, María Emilia Lucio, Miguel Gallegos e Norma Reátegui Colareta. "Education, SES, and Intelligence". In Intelligence Measurement and School Performance in Latin America, 25–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89975-6_3.
Texto completo da fonteMeza, Jaime, Josep M. Monguet, Francisca Grimón e Alex Trejo. "Fostering Collective Intelligence Education". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 165–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28883-3_21.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Artifficial Intelligence in education"
"Artificial intelligence". In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228556.
Texto completo da fonteFlorea, Adina Magda, e Serban Radu. "Artificial Intelligence and Education". In 2019 22nd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2019. http://dx.doi.org/10.1109/cscs.2019.00069.
Texto completo da fonteOliver, Javier. "ARTIFICIAL INTELLIGENCE IN EDUCATION". In 10th International Conference on Education and New Learning Technologies. IATED, 2018. http://dx.doi.org/10.21125/edulearn.2018.0829.
Texto completo da fonteJaakkola, H., J. Henno, A. Lahti, J.-P. Jarvinen e J. Makela. "Artificial Intelligence and Education". In 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2020. http://dx.doi.org/10.23919/mipro48935.2020.9245329.
Texto completo da fonteSvoboda, Petr. "ARTIFICIAL INTELLIGENCE IN EDUCATION". In 14th annual International Conference of Education, Research and Innovation. IATED, 2021. http://dx.doi.org/10.21125/iceri.2021.1838.
Texto completo da fonteGuo, Yanming, e Yandong Xiao. "Artificial Intelligence in Education". In Proceedings of the 2019 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/mmetss-19.2019.33.
Texto completo da fonteUdroiu, Adriana meda. "ELEARNING FOR INTELLIGENCE EDUCATION". In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-206.
Texto completo da fonteZhao Weidong, Wu Haifeng e Wang Anhua. "Research-based teaching in artificial intelligence course". In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228274.
Texto completo da fonteLiu, Hong. "A tutoring system for Computational Intelligence course". In Education (ITIME). IEEE, 2009. http://dx.doi.org/10.1109/itime.2009.5236372.
Texto completo da fonteRuzic, Fjodor. "Web And AI Convergence: Society Intelligence Through Web Intelligence". In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2711.
Texto completo da fonteRelatórios de organizações sobre o assunto "Artifficial Intelligence in education"
Felix, Juri, e Laura Webb. Use of artificial intelligence in education delivery and assessment. Parliamentary Office of Science and Technology, janeiro de 2024. http://dx.doi.org/10.58248/pn712.
Texto completo da fonteRodrigues do Nascimento Junior, Edmilson. Annotated Bibliography - Artificial intelligence in education: The three paradigms. (Ouyang and Jiao, 2021). ResearchHub Technologies, Inc., dezembro de 2023. http://dx.doi.org/10.55277/researchhub.02ov1x0e.
Texto completo da fonteWalden, Victoria Grace, e Kate Marrison, eds. Recommendations for using Artificial Intelligence and Machine Learning for Holocaust Memory and Education. REFRAME, janeiro de 2023. http://dx.doi.org/10.20919/elvh8804.
Texto completo da fonteRochelle, Jeremy. Review of Guidance from Seven States on AI in Education. Digital Promise, fevereiro de 2024. http://dx.doi.org/10.51388/20.500.12265/204.
Texto completo da fonteRodrigues do Nascimento Junior, Edmilson. Annotated Bibliography - A conversation on artificial intelligence, chatbots, and plagiarism in higher education. (King, 2023). ResearchHub Technologies, Inc., dezembro de 2023. http://dx.doi.org/10.55277/researchhub.l67b3be8.
Texto completo da fonteRodrigues do Nascimento Junior, Edmilson. Annotated Bibliography - Discourses of artificial intelligence in higher education: a critical literature (Bearman et al, 2022). ResearchHub Technologies, Inc., janeiro de 2024. http://dx.doi.org/10.55277/researchhub.fggy2kv0.
Texto completo da fonteШестопалова (Бондар), Катерина Миколаївна, e Олена Петрівна Шестопалова. Support of Inclusive Education in Kryvyi Rig. Padua, Italy, 2019. http://dx.doi.org/10.31812/123456789/3234.
Texto completo da fonteKLIMENKO, I. M., e O. I. GAN. EMOTIONAL ASPECTS OF TEACHING IN HIGHER SCHOOL AND THE FACTOR OF DIGITALIZATION. Science and Innovation Center Publishing House, abril de 2022. http://dx.doi.org/10.12731/2658-4034-2022-13-1-2-80-87.
Texto completo da fonteNezhyva, Liudmyla L., Svitlana P. Palamar e Oksana S. Lytvyn. Perspectives on the use of augmented reality within the linguistic and literary field of primary education. [б. в.], novembro de 2020. http://dx.doi.org/10.31812/123456789/4415.
Texto completo da fonteKoomar, Saalim. What is 'Nudging' and How Does it Change Behaviour in Education? EdTech Hub, janeiro de 2024. http://dx.doi.org/10.53832/edtechhub.1011.
Texto completo da fonte