Application of community detection algorithms on learning networks. The case of Khan Academy repository
Sign Up to like & getrecommendations! Published in 2021 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22212
Abstract: The rapid development of online learning networks has resulted in the widespread use of recorded educational contents. While the community structure of those networks may have an influence on the use of contents, research on… read more here.
Keywords: learning networks; community; detection algorithms; online learning ... See more keywords
Curators and sojourners in learning networks: Practices for transformation.
Sign Up to like & getrecommendations! Published in 2019 at "Evaluation and program planning"
DOI: 10.1016/j.evalprogplan.2018.12.001
Abstract: Networks are a promising mechanism for creating systemic change. Studies abound, but do not examine roles and practices to reveal the processes through which networks create transformative capacity. This participatory single case study provides a… read more here.
Keywords: roles practices; sojourners learning; learning networks; curators sojourners ... See more keywords
Dynamics of firm-level upgrading and the role of learning in networks in emerging markets
Sign Up to like & getrecommendations! Published in 2019 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2018.06.042
Abstract: Abstract This paper investigates which external learning mechanisms in networks contribute to various upgrading types in emerging market firms, and how internalisation of externally acquired knowledge complements external learning. It develops a dynamic model of… read more here.
Keywords: dynamics firm; external learning; learning networks; level upgrading ... See more keywords
Homophily in the formation and development of learning networks among university students
Sign Up to like & getrecommendations! Published in 2020 at "Network Science"
DOI: 10.1017/nws.2020.10
Abstract: Abstract Students’ personal learning networks can be a valuable resource of success in higher education: they offer opportunities for academic and personal support and provide sources of information related to exams or homework. We study… read more here.
Keywords: learning networks; study; formation; among university ... See more keywords
Actor-Network-Theory and Micro-Learning Networks
Sign Up to like & getrecommendations! Published in 2017 at "Education for Primary Care"
DOI: 10.1080/14739879.2017.1344882
Abstract: I want to tell a story of how my understanding of clinical learning has been turned upside down over the past six years of doctoral study. It is a three-stop journey – with each stage… read more here.
Keywords: theory micro; learning networks; micro learning; actor network ... See more keywords
The experimentation–accountability trade-off in innovation and industrial policy: are learning networks the solution?
Sign Up to like & getrecommendations! Published in 2023 at "Science and Public Policy"
DOI: 10.1093/scipol/scad013
Abstract: The exact nature of industrial/innovation (I/I) policy challenges and the best way to address them are unknown ex ante. This requires a degree of experimentation, which can be problematic in the context of an accountable… read more here.
Keywords: experimentation accountability; innovation; learning networks; policy ... See more keywords
Adversarial Learning Networks for FinTech Applications Using Heterogeneous Data Sources
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100742
Abstract: The dynamic property and increasing complexity are the key challenges for modeling financial technology (FinTech)-related applications such as stock markets. Over the years, a lot of inflexible predictive strategies have been proposed for predicting stock… read more here.
Keywords: fintech applications; networks fintech; learning networks; applications using ... See more keywords
Toward Smart Security Enhancement of Federated Learning Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Network"
DOI: 10.1109/mnet.011.2000379
Abstract: As traditional centralized learning networks (CLNs) are facing increasing challenges in terms of privacy preservation, communication overheads, and scalability, federated learning networks (FLNs) have been proposed as a promising alternative paradigm to support the training… read more here.
Keywords: federated learning; training; smart security; learning networks ... See more keywords
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2970336
Abstract: This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie in low-dimensional… read more here.
Keywords: part; learning networks; adaptation learning; subspace ... See more keywords
Mining Teacher Informal Online Learning Networks: Insights From Massive Educational Chat Tweets
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Educational Computing Research"
DOI: 10.1177/07356331221103764
Abstract: Social-media-based teacher learning networks have the affordance to grant flexibility of time and space for teachers’ professional learning, support the development and sustainability of social networking, and meet their just-in-time needs for exchanging knowledge, negotiating… read more here.
Keywords: online learning; learning networks; informal online; teacher informal ... See more keywords
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study
Sign Up to like & getrecommendations! Published in 2019 at "Cancer Imaging"
DOI: 10.1186/s40644-019-0227-3
Abstract: BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital screening mammograms… read more here.
Keywords: learning networks; screen detected; deep learning; case ... See more keywords