Smart Learning Services Based on Smart Cloud Computing

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Smart Learning Services Based on Smart Cloud Computing. Svetlana Kim,Su- Mi SongandYong- Ik Yoon Department of Multimedia Science, Sookmyung Womens University, Chungpa -Dong 2-Ga,Yongsan-Gu 140-742, Seoul, Korea - PowerPoint PPT Presentation

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Smart Learning Services Based on Smart Cloud Computing

Smart Learning Services Based on Smart Cloud ComputingSvetlana Kim,Su-Mi SongandYong-Ik Yoon

Department of Multimedia Science, Sookmyung Womens University, Chungpa-Dong 2-Ga,Yongsan-Gu 140-742, Seoul, Korea

Communication:Smart Learning Services Based on Smart Cloud Computing ; Sensors2011,11(8), 7835-7850

Present : Date2012/06/011AbstractContext-aware technologies can make e-learning services smarter and more efficient a service architecture model is neededWe suggest the elastic four smarts (E4S)smart pull, smart prospect, smart content, and smart pushThe E4S focuses on meeting the users needsprovides personalized and customized learning services2Outline1. Introduction2. Smart Cloud Computing3. The SCC4. Implementation5. Conclusion

31. Introduction(1/4)Traditionally e-learning were limitedSmart learning offers personalized contents, easy adaptation , convenient communication environment and rich resourcesstill not complete41. Introduction(2/4)For examplenot allocate necessary computing resourcesdifficulty in interfacing and sharing data with other systemsduplication and low utilization of existing teaching resourcesTo resolve this problemuse cloud computing to support resource management

51. Introduction(3/4) cloud computing environment providesthe necessary foundationintegration of platform and technologyintegrates teaching and research resources distributed over various locationsanywhere at anytime61. Introduction(4/4) the existing cloud computing technologies are only passively responsive to users needs.propose a smart cloud computing (SCC) model for smart learning contents through the E4SSCC can provide customized contents to each user72. Smart Cloud Computing(1/3)The SCC for short based on E4S has the capability to provide a smart learning environment. encourages learning system standardization and provides a means for managing it.

82. Smart Cloud Computing(2/3)A traditional e-learning system can display single content on a single device or multiple contents on one device.The SCC can deliver s-learning to the users so they can use multiple devices to render multi learning contents. The multi learning contents can be played in different devices separately to form a virtual class.

92. Smart Cloud Computing(3/3)For this, the SCC uses context-aware sensing.Sensing through the location and IP address of each device. Each customized learning contents may differ in modality (i.e., text-based, audio, video, etc.), capability (i.e., bandwidth), and timing (i.e., types of synchronization).

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3. The SCC3.1. Context-Aware Module3.2. The Elastic 4S (E4S) System3.2.1. Smart Pull3.2.2. Smart Prospect3.2.3. Smart Content3.2.4. Smart Push123.1. Context-Aware Module(1/3)The context-aware modelmust automatically deduce the actual situation from the users behavior.based on a hybrid situation that consists of the user situation and the physical situation. includes static factors and dynamic factors that describe the hybrid situation.

133.1. Context-Aware Module(2/3)14

3.1. Context-Aware Module(3/3)15

3.2. The Elastic 4S (E4S) System3.2.1. Smart Pull3.2.2. Smart Prospect3.2.3. Smart Content3.2.4. Smart Push

163.2.1. Smart Pull(1/3)The Smart Pull identifies a right action service in fusion learning DB based on the user action in context model. The fusion learning DB consists of various multimedia learning materials such as video, text, PPT and image scattered in different learning DB. 173.2.1. Smart Pull(2/3)For Examplea user action in the context model requests the topic of multimediaThe Smart Pull extracts a related action of multimedia in fusion learning DB18

3.2.1. Smart Pull(3/3)19

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3.2.2. Smart Prospect(1/3)The Smart Prospect is mainly responsible for describing the contents in ActionNotime, memory, resolution and supported application types.To access the information in ActionNo, the Smart Prospect uses a Semantic Description using of UVA (Universal Video Adaptation) model that has been developed by Yoon213.2.2. Smart Prospect(2/3)The UVA modeluses the video content description in MPEG-7 standard and MPEG-21 multimedia framework. The Semantic Description provides the accurate and meaningful information for the fusion content. uses XML, ontology and Resource Description Framework (RDF) that help define fusion content clearly and precisely.also represents systematic information about the contents.

223.2.2. Smart Prospect(3/3)The role of the ontology formally describe the shared meaning of vocabulary used. describes the basic fusion learning contents of some domain (e.g., history of science). includes the relations between these concepts and some basic properties. Based on the ontology, all learning content in the ActionNo are associated each other.For example, the description of the video content used in semantic description can be related to the scenes of video.2324

represents playback time of the entire video content represents the playback time of a shot in the video contentindicates supporting types for some application, such as video, image, PPT or text. specifies memory and resolution information of video content, respectively25

3.2.3. Smart Content (1/3) The Smart Content generates the fusion content for the users device using the harmony adaptation.The harmony adaptation has two stepsFusion Content Adaptation presents the synchronization among the fusion contents in ActionNo. Device Synchronization processperforms the process of synchronization between devices. 263.2.3. Smart Content (2/3) The process of synchronization between multiple devicescreates a channel for each device the fusion contents can be played on multi devices at the same timeThe Device Synchronization uses SyncML (Synchronization Markup Language) to set the synchronization between devices.

273.2.3. Smart Content (3/3)The SyncML an international standard language matching data between different devices and applications at any network company .Through the synchronization between devices, the adapted contents can be used in Smart Push step.

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3.2.4. Smart Push (1/2)As for the content delivery, the situation analyzer will be used. the situation analyzeruses the physical situation information to find the related details of the contents and devicesIf the details of a device and contents are the same, a link can be established303.2.4. Smart Push (2/2)The Smart Push delivers a complete set of smart contents to the user using terminals AP (Access Point) and MAC-Address31

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4. Implementation (1/2)fusion content generation and synchronization33

the progress of the synchronizationshows a synchronization of the video and audio shows the synchronization with other fusion mediacan be played in the preview4. Implementation (2/2)delivered the synchronized fusion media to two different devices34

5. ConclusionsIn this paper, we have introduced the use of context-awareness for user behavior and a way to deliver the corresponding contents to the users. As a future work, the protocols for smart cloud computing and domain specific ontology will be investigated.35

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