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Connected learning information


Connected learning is a type of learning in which a young person pursues a personal interest with friends and adults. This learning method is linked to academic achievement, career success, or civic engagement.[1] The approach leverages new media to broaden access to opportunities and meaningful learning experiences.[1][2] The connected learning model suggests that youth learn best when they are interested in what they are learning, have peers and mentors who share these interests, and their learnings are directed toward opportunity and recognition.[1][2] According to the proponents of connected learning, social support for interest-driven learning and connections drive individual learning outcomes.[1][2] Platforms that support connected learning are generally characterized as having a sense of shared purpose, a focus on production, and openly networked infrastructures.[citation needed]

  1. ^ a b c d Ito, M.; Gutiérrez, K.; Livingstone, S.; Penuel, B.; Rhodes, J.; Salen, K.; Schor, J.; Sefton-Green, J.; Watkins, S.G. (2013). Connected learning: An agenda for research and design (PDF). Irvine, CA: Digital Media and Learning Research Hub. Archived from the original (PDF) on 2013-08-26. Retrieved 2014-02-19.
  2. ^ a b c Cornwell, W. R.; Cornwell, J. R. (2006). "Connected learning: A framework of observation, research and development to guide the reform of education" (PDF). Breckenridge, CO: The Center for Internet Research.

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Connected learning

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Connected learning is a type of learning in which a young person pursues a personal interest with friends and adults. This learning method is linked to...

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Mizuko Ito

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MacArthur Chair in Digital Media and Learning, and Director of the Connected Learning Lab in the Department of Informatics, Donald Bren School of Information...

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Student engagement

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A high level of engagement results in better learning, and the learner will be emotionally connected, feel satisfied with the course and the institution...

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Open education

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movements in education which support openness, included networked learning, connected learning, and social technologies, among others. Common features of open...

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NetLogo

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by Uri Wilensky, director of Northwestern University's Center for Connected Learning and Computer-Based Modeling (CCL). In addition to agent-based modeling...

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Machine learning

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Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

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Convolutional neural network

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weights over fewer connections. For example, for each neuron in the fully-connected layer, 10,000 weights would be required for processing an image sized...

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Deep learning

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Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of...

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International Primary Curriculum

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differently Connected Learning Assessment for Improving Learning The IPC is presented to schools through a number of thematic units of learning, which bring...

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Federated learning

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Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred...

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Neural network

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complex nervous systems – a population of nerve cells connected by synapses. In machine learning, an artificial neural network is a mathematical model...

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National Council of Educational Research and Training

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global training partner, Tech Avant-Garde (TAG) and facilitated a Connected Learning Community (CLC) for improving digital skills among its teachers. Ever...

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Recurrent neural network

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(hidden) layer is connected to these context units fixed with a weight of one. At each time step, the input is fed forward and a learning rule is applied...

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Unsupervised learning

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Unsupervised learning is a method in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data...

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Distance education

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(distributed learning, e-learning, m-learning, online learning, virtual classroom, etc.) are used roughly synonymously with distance education. E-learning has...

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Transfer learning

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can change the structure of fully-connected layers to improve performance. Several compilations of transfer learning and domain adaptation algorithms have...

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Connected car

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A connected car is a car that can communicate bidirectionally with other systems outside of the car. This connectivity can be used to provide services...

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Learning Record Store

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Learning Record Store (LRS) is a data store system that serves as a repository for learning records collected from connected systems where learning activities...

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Topological deep learning

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Topological deep learning (TDL) represents a field at the intersection of topology and deep learning, offering approaches to analyze and learn from data...

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Perceptron

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In machine learning, the perceptron (or McCulloch–Pitts neuron) is an algorithm for supervised learning of binary classifiers. A binary classifier is a...

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Educational technology

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Percival (28 November 1995). "Carry on learning". New Scientist. Gail S. Thomas (1 February 1988). "Connected Education, Inc". Netweaver. Electronic Networking...

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Tata Institute of Social Sciences

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generic name (help) "Tata Trusts, MIT, and TISS collaborate to bring connected learning experiences to Indian students and teachers - Tata Trusts". Tata Trusts...

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Teaching method

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portfolios, and class participation. Teaching and assessments are connected; student learning is continuously measured during teacher instruction. The lecture...

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Connected Mathematics

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achievement and the classroom learning environment. Journal for Research in Mathematics Education, 39(3), 247-280. Connected Mathematics Project http://connectedmath...

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