Code Shoppy Projects

 ANALYSIS  Webdevelopment TEACHING WAYS Training - Codeshoppy Five three and fifty seven eight and three-grade students in university participated in this study. Among them, there were 185 students took the course under the first teaching way that teaching every functions of Dreamweaver, Firework and Flash according to the menus of the software. The other 172 students took the course under the second teaching way that teaching according a real living e-commence web site. They were randomly assigned to groups using animation, still-graphic and text treatments before taking the course. They received their treatments and took a criterion test. The material used for designing a web sit which sell second-hand book integrated physics and mathematics concepts in a situated environment. Various scenarios for solving scientific problems were provided. To be successful problem solvers, studen

 Design the framework of web site and webdesign development - Codeshoppy Web site designrdquo. In class a real Web site of e-commerce as a model used through all course. Students learn to set the Web site step by step following the model. Finally they would set a Web site by themselves. The model Web site just like a thread to put all the knowledge of Web site in together. Our contributions in this paper include: 1) to discover the significant features based on visual and presentation factors, which influence the e-commerce web design, 2) to propose a framework for accessing the web page visual layout, and 3) to perform empirical verification and effectiveness of visual and presentation features. The rest of the paper is organized as follows: in Section 2, we present related works, in Section 3, we formalize the e-commerce feature classification model, in Section 4, we explain our proposed system, in Section 5, we give the

 Web Browser Responsive to the Webdevelopment - Codeshoppy we present the design of a web browser that is responsive to the user's interest level. The user's interest level is measured via a wearable Neurosky EEG sensor that gives a value of the user's attention level in real time. The current scroll position is used to identify which part of the webpage the user is reading currently. Combining the scroll position and the user's real time attention level, we identify which parts of the webpage, or which website in a list of currently open websites, the user is most interested in. We then make the web browser responsive to the attention level by adding the current webpage to the favorites if the attention level exceeds a threshold, removing a current webpage from the favorites if the attention level goes below a second threshold, generate on-the-fly an automatic index of the portions of the webpage that the user is more interested in from among the currently