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E-school introduction
- 1. INTRODUCTION E-School is aweb-based Supporting System for K-12 Education. The system has 3 main products: • E-Class (Web & Client Application) • E-Grading (Web & Client Application) • E-Communication (Web & Mobile Application) *All the products can be interacted with the Anoto digital pen. The main purposes of the system are collecting and analyzing data in the education process, and giving real-time feedbacks to the educators in order to improve the teaching efficiency and quality. *All contents in the slides are authorized by Hebei Digital Education Collaborative Innovation Center (http:// www.co-digedu.org/).
- 2. Cloud data processingcenter Certification center E-Class E-Grading Front-end Server Math teacher Classroom-3 Classroom-2 Classroom-1 English teacher Family-1 E-communication Data center Chinese teacher Family-2 System Architecture Diagram
- 3. PostgreSQL 9.2 (M)PostgreSQL 9.2 (S) JSP Engine Other Application Other Application Web Service Web Service Apache Commons DBCP Connection Pool Hibernate EntityManager CoreAnnotations JPA Provider Spring Data JPA JDBC DAO interface DAO implementation Spring Authorizer Authenticator Session Manager Cache Manager Apache Shiro DispatcherServlet dispatcher-servlet.xml View HandlerMapping HandlerAdapter IOCTransaction applicationContext.xml Spring MVC Persistent Layer Business Layer BL interface BL implementation Controller Layer Controller Html/CSS/JQuery Html/CSS/JQuery Network Topology Diagram
- 4. Anoto Digital Pen Acombination of ordinary ink pen and a digital camera (and supporting hardware) that digitally records everything written with the pen. It works by recognizing a special non-repeating dot pattern printed on the paper. 10/16/15
- 5. Extended Development KitStructure (Anoto digital pen) Platform <<Interface>> IStrokeAnalyzeResultPoster <<Interface>> IStrokeStreamAnalyzer StrokeStreamAnalyzer <<Interface>> IDigitRecognizer DigitRecognizer <<Interface>> IStrokeListener Learning <<Interface>> IRecordListener Paper Initialization Tool Listener Marking Tool Listener <<Interface>> IPaperInitializer <<Interface>> IStrokeSource AfpStrokeSource AFP 2.7.1.0_2 AnotoPaperInitializer Dotcode Tool Generator AnotoDotcodeFileGenerator AnotoDotcodeImageGenerator Document Module Interaction Module Print Module Document Module Print Module CNN 0..1 1 1 1..* 1 1 1 1 1
- 6. Input 29x29 C1: 6 FMs 25x25 S2: 6 FMs 13x13 C3: 50 FMs 9x9 S4: 50 FMs 13x13 F5: 100 neurons Output 10 neurons C: convolution layer S: subsampling layer F: Fully connected layer Framework of Convolutional Neural Networks Algorithm Reference: Simard, Patrice Y., Dave Steinkraus, and John C. Platt. "Best practices for convolutional neural networks applied to visual document analysis." null. IEEE, 2003.
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- 8. Prototype of theWeb page Actual Web page
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- 10. Example of thetest paper E-Grading Client
- 11. Data analysis reportData analysis diagram