Learning Object
Learning Object Metadata and its application
... The Learning Object Metadata standards focus on the minimal set of attributes needed to allow these Learning Objects to be managed, located, and ...of Learning Objects to be described include ...
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Knowledge Enriched Learning by Converging Knowledge Object & Learning Object
... of learning is the content, and a Learning Management System (LMS) suffices this to a certain ...different learning requirements. For a true learning, knowledge should also be delivered along ...
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Development Of Learning Object For Regression And Correlation
... This Learning Objects are generally understood to be digital entities deliverable over the Internet , meaning that any number of people can access and use them ...[7]The learning object will save a ...
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Hybrid System for Generating Learning Object Metadata
... a learning object is, all of them agree in that it is a piece of digital multimedia, which can be used for learning or teaching ...a learning object should be ...having learning ...
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Implementing Deep Learning Object Recognition on NAO
... Deep Learning Object Recognition on NAO" selbständig und ohne fremde Hilfe verfasst und keine anderen als die angegebenen Hilfsmittel benutzt ...
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AraCore: An Arabic learning object metadata for indexing learning resources
... called learning objects. According to IEEE, Learning Objects (LO) can be defined as “any entity, digital or non-digital, which can be used, re-used or referenced during technology supported learning” ...
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
... mobile learning applications for tertiary ...tree learning object for tertiary students by utilizing current mobile phone’s features such as mobility, multimedia capability and ...mobile ...
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Object lessons : a learning object approach to e-learning for social work education
... a learning object approach to e-learning is the idea that widespread adoption of this approach may lead to the emergence of a learning object ...a learning object economy ...
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Reusable content matters: a learning object authoring tool for smart learning environments
... a Learning Object Repository Access and Exchange (LORAX) mechanism that serves the following features: QueryContent, RetrieveContent, Retrieve- ContentMetadata, and ...
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Learning Object Context for Dense Captioning
... age object information in images for this ...an object context encoding Long Short-Term Memory (LSTM) network to au- tomatically learn complementary object context for each cap- tion region, ...
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3I, Algorithm for Object Learning Production
... Are learning objects characterizing data, it describes the learning object according to both syntactic and semantic ...future learning system all needed information to be able to organize ...
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Object Oriented System of E-Learning (OOSEL)
... for learning object like test, questions, assignments and problems, which can be solved by the ...an object “Answer” is created and attached to ...
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Learning image components for object recognition
... for learning the perceptual representations necessary for performing object recog- ...or object parts does not always result in a linear combination of sources but, due to occlusion, results in a ...
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The Learning Psychology of Visual Programming for Object-Orientation
... to object-oriented learning which was developed along with ...‘discovery learning’ where information is gained through working on tasks rather than listening or ...
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Online Mean Kernel Learning for Object Tracking
... kernel learning (MKL) [27, 7] has been widely used for feature combination in the object detection [28] and classification ...Kernel Learning, in which the weights of different features was set ...
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Object Detection using Deep Learning
... Tensorflow Object Detection [2][11] Application Program Interface (API) is used to build powerful image recognition software. It is an Open Source Framework built on top of Tensorflow. It consists of a collection ...
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Object Counting with Deep Learning
... for object counting is to utilize weaker ground truth information like dot annotations, in contrast to more sophisticated models for object detection [81, 83] or instance-level segmentation [41, 82, 84] ...
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Animate Object Detection Using Deep Learning
... recognition, object detection, segmentation of white background photos based on deep ...deep learning uses the white background, photos object detection, object ...deep learning ...
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Object detection and segmentation using discriminative learning
... discriminative learning approaches, the classification approach has relative poor performance due to its coarse search grid in the exhaustive ...its learning complex- ity is lower than ...discriminative ...
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e-Learning as an Object of Study
... characteristics of something that appears to very normal: learning and teaching under the flexible, deterritorialised and adaptable technological conditions of the network so- ciety. Scopeo, the Observatory of ...
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