Results 271 to 280 of about 258,548 (313)
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Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003
The purpose of this paper is to introduce a concept known commonly as the "learning object", articulate the foundational principles for developing a concept of LOs, and to provide guidelines for creating LOs. The paper proposes a view of the content packaging of learning objects grounding on the IMS Content Packaging and the SCORM (Sharable Content ...
Margarita Todorova, Valentina Petrova
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The purpose of this paper is to introduce a concept known commonly as the "learning object", articulate the foundational principles for developing a concept of LOs, and to provide guidelines for creating LOs. The paper proposes a view of the content packaging of learning objects grounding on the IMS Content Packaging and the SCORM (Sharable Content ...
Margarita Todorova, Valentina Petrova
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British Journal of Hospital Medicine, 2009
Clinical teachers may be involved with students and trainees on a variety of different programmes who are required to achieve a diverse range of learning outcomes or objectives. Teachers who better understand the relationship between learning outcomes and the planning and delivery of educational activities can help learners receive more from their ...
Judy, McKimm, Tim, Swanwick
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Clinical teachers may be involved with students and trainees on a variety of different programmes who are required to achieve a diverse range of learning outcomes or objectives. Teachers who better understand the relationship between learning outcomes and the planning and delivery of educational activities can help learners receive more from their ...
Judy, McKimm, Tim, Swanwick
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Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
A learning account for the problem of object recognition is developed within the PAC (Probably Approximately Correct) model of learnability. The proposed approach makes no assumptions on the distribution of the observed objects, but quantifies success relative to its past experience. Most importantly, the success of learning an object representation is
Dan Roth 0001 +2 more
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A learning account for the problem of object recognition is developed within the PAC (Probably Approximately Correct) model of learnability. The proposed approach makes no assumptions on the distribution of the observed objects, but quantifies success relative to its past experience. Most importantly, the success of learning an object representation is
Dan Roth 0001 +2 more
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Objects to Learn About and Objects for Learning 1
2022Resulting from a conference that took place in Amiens, France, in June 2019, this book examines the place and role of objects centered in teaching practices from kindergarten to university, both in the context of France and elsewhere. These “objects for learning” are considered in their physicality as productions, work or signs that are used for ...
Bisault, Joël +4 more
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Communications of the ACM, 2016
We have seen remarkable recent progress in computational visual recognition, producing systems that can classify objects into thousands of different categories with increasing accuracy. However, one question that has received relatively less attention is "what labels should recognition systems output?" This paper looks at the problem of predicting ...
Vicente Ordonez +5 more
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We have seen remarkable recent progress in computational visual recognition, producing systems that can classify objects into thousands of different categories with increasing accuracy. However, one question that has received relatively less attention is "what labels should recognition systems output?" This paper looks at the problem of predicting ...
Vicente Ordonez +5 more
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Learning objects and objectives towards automatic learning construction
European Journal of Operational Research, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Psychological Science, 2003
A theory of object recognition requires a theory of shape. Despite considerable empirical and theoretical research, however, a definition of object shape has proved elusive. Two experiments provide new insights by showing that children's object recognition changes dramatically during the period between 17 and 25 months.
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A theory of object recognition requires a theory of shape. Despite considerable empirical and theoretical research, however, a definition of object shape has proved elusive. Two experiments provide new insights by showing that children's object recognition changes dramatically during the period between 17 and 25 months.
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Versioning of learning objects
Proceedings 3rd IEEE International Conference on Advanced Technologies, 2004Learning objects are reusable pieces of educational material intended to be strung together to form larger educational units such as activities, lessons, or whole courses. These materials are stored in learning object repositories which can be distributed in nature.
Christopher A. Brooks 0001 +2 more
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Learning semantic object parts for object categorization
Image and Vision Computing, 2008Appearance-based approaches to object recognition mostly rely on measuring the visual similarity of objects based on global or local descriptors. They have shown great success in object identification but often do not generalize to the more challenging case of object categorization, where category membership is often decided not only on a level of ...
Bastian Leibe +2 more
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Automatically Learning to Teach to the Learning Objectives
Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 2016We seek to automatically identify which items to include in a set of curriculum, and how to adaptively select these items, in order to maximize student performance on some specified set of learning objectives. Our experimental results with a histogram tutoring system suggest that Bayesian Optimization can quickly (with only a small amount of student ...
Rika Antonova +3 more
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