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A theory of online learning as online participation
Computers and Education, 2009In this paper, an initial theory of online learning as online participation is suggested. It is argued that online learner participation (1) is a complex process of taking part and maintaining relations with others, (2) is supported by physical and psychological tools, (3) is not synonymous with talking or writing, and (4) is supported by all kinds of ...
Stefan Hrastinski
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Proceedings of the 2017 ACM SIGMIS Conference on Computers and People Research, 2017
The use of Technology to facilitate better learning and training is gaining momentum worldwide, reducing the temporal and spatial problems associated with traditional learning. Despite its several benefits, retaining students in online platforms is challenging.
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The use of Technology to facilitate better learning and training is gaining momentum worldwide, reducing the temporal and spatial problems associated with traditional learning. Despite its several benefits, retaining students in online platforms is challenging.
openaire +1 more source
Pattern Recognition and Image Analysis, 2007
This paper describes a system for visual object recognition based on mobile augmented reality gear. The user can train the system to the recognition of objects online using advanced methods of interaction with mobile systems: Hand gestures and speech input control “virtual menus,” which are displayed as overlays within the camera image.
Heidemann, Gunther +3 more
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This paper describes a system for visual object recognition based on mobile augmented reality gear. The user can train the system to the recognition of objects online using advanced methods of interaction with mobile systems: Hand gestures and speech input control “virtual menus,” which are displayed as overlays within the camera image.
Heidemann, Gunther +3 more
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Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning, 2012Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of accurate predictions given knowledge of the correct answer to previous prediction tasks and possibly additional available information.
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eLearn, 2011
Today's era is one of pervasive technology. Encompassing laptops and smart phones to wikis and blogs, the digital environment makes communication, collaboration and information sharing easier than ever imagined. As a result, the world of higher education has been revolutionized by the digital age.
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Today's era is one of pervasive technology. Encompassing laptops and smart phones to wikis and blogs, the digital environment makes communication, collaboration and information sharing easier than ever imagined. As a result, the world of higher education has been revolutionized by the digital age.
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2006
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel tasks. We consider the case where these tasks all contribute toward a common goal.
Ofer Dekel, Philip M. Long, Yoram Singer
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We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel tasks. We consider the case where these tasks all contribute toward a common goal.
Ofer Dekel, Philip M. Long, Yoram Singer
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2016
We study the problem of learning ensembles in the online setting, when the hypotheses are selected out of a base family that may be a union of possibly very complex sub-families. We prove new theoretical guarantees for the online learning of such ensembles in terms of the sequential Rademacher complexities of these sub-families.
Mehryar Mohri, Scott Yang
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We study the problem of learning ensembles in the online setting, when the hypotheses are selected out of a base family that may be a union of possibly very complex sub-families. We prove new theoretical guarantees for the online learning of such ensembles in terms of the sequential Rademacher complexities of these sub-families.
Mehryar Mohri, Scott Yang
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Learning in Online Advertising
Marketing Science, 2019This paper investigates how incentives to learn ad performance affect the advertisers’ bidding strategies, as well as the publisher’s optimal mechanism.
W. Jason Choi, Amin Sayedi
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