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Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
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Utecht, Jeff; Keller, Doreen – Critical Questions in Education, 2019
This paper will examine the eight principles of Connectivism Learning Theory and provide examples of how institutions of learning--K-12 and higher education--may think about applying them. Engaging in such work will allow institutions to take advantage of technological platforms as they exist today and into the future. While the Internet has…
Descriptors: Learning Theories, Elementary Schools, Secondary Schools, Critical Thinking
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Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
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Rowe, Emma – Discourse: Studies in the Cultural Politics of Education, 2019
This paper explores third-wave post-neoliberalism as an assemblage, fractured and dis/embodied, a mobile tool of governance articulated in various shapes across geopolitical sites. Post-neoliberalism is assembled alongside other key cultural shifts, such as post-truth, posthuman and the computational turn. In light of this Special Issue, this…
Descriptors: Social Systems, Neoliberalism, Governance, Educational Change
Kuhl, Patricia K.; Liang, Soo-Siang; Guerriero, Sonia; van Damme, Dirk – OECD Publishing, 2019
This book highlights new scientific research about how people learn, including interdisciplinary perspectives from neuroscience, the social, cognitive and behavioural sciences, education, computer and information sciences, artificial intelligence/machine learning, and engineering. These new developments offer fascinating new perspectives, based on…
Descriptors: 21st Century Skills, Interdisciplinary Approach, Technological Advancement, Learning Problems
Advanced Distributed Learning Initiative, 2019
The Total Learning Architecture (TLA) program sponsored by the Advanced Distributed Learning (ADL) Initiative seeks to develop a set of policy and standards defining the process for developing a "learning ecology," where multiple services and learning opportunities (of various modalities and points of delivery) can be managed in an…
Descriptors: Educational Policy, Ecology, Delivery Systems, Learning Analytics
Kathe Pelletier; Mark McCormack; Nicole Muscanell; Jamie Reeves; Jenay Robert; Nichole Arbino – EDUCAUSE, 2024
In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…
Descriptors: Trend Analysis, Technology Uses in Education, Educational Technology, Artificial Intelligence
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Giannakos, Michail, Ed. – Lecture Notes in Educational Technology, 2020
This book introduces the reader to evidence-based non-formal and informal science learning considerations (including technological and pedagogical innovations) that have emerged in and empowered the information and communications technology (ICT) era. The contributions come from diverse countries and contexts (such as hackerspaces, museums,…
Descriptors: Nonformal Education, Informal Education, Science Education, Computer Uses in Education
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LeBlanc, Paul J. – Change: The Magazine of Higher Learning, 2018
The paper suggests that today's world is a VUCA (volatile-uncertain-complex-ambiguous) world, based on the Fourth Industrial Revolution in which machine intelligence and technology are transforming almost every field of human endeavor--all against a backdrop of climate change, social and political turmoil, and enormous and growing wealth inequity.…
Descriptors: Higher Education, Artificial Intelligence, Educational Change, Outcomes of Education
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Jena, Ananta Kumar – Asia-Pacific Forum on Science Learning and Teaching, 2018
Artificial Intelligence is a branch of computer science connects, classifies, differentiates, and elaborates the domains of learning in neural network, a paradigm shift is using in the construction of knowledge. In this pretest-posttest single group experimental design, neural network artificial intelligence used to investigate the existing…
Descriptors: Artificial Intelligence, Pretests Posttests, Misconceptions, Experimental Groups
Richter, Linda M. – ZERO TO THREE, 2018
The global community is recognizing how "nurturing care" is critical for the developing child. The term encompasses health and nutrition, safety and security, responsive caregiving, and opportunities for inclusive early learning, all of which are afforded by loving parents and families and supportive communities. Public policies and…
Descriptors: Parent Child Relationship, Family Environment, Parenting Styles, Child Development
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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Akgün, Ergün; Demir, Metin – Online Submission, 2018
In this study, it was aimed to predict elementary education teacher candidates' achievements in "Science and Technology Education I and II" courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of…
Descriptors: Elementary School Teachers, Preservice Teachers, Artificial Intelligence, Science Education
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Winchell, Adam; Mozer, Michael; Lan, Andrew; Grimaldi, Phillip; Pashler, Harold – International Educational Data Mining Society, 2018
When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the highlights will further their educational goals, the psychological literature provides no evidence of benefits. Nonetheless, a student's choice of text for highlighting may serve as a window into…
Descriptors: Textbooks, Biology, Documentation, Science Instruction
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