Building an E-Learning System of Integrating Google Maps API and Augmented Reality Technology

• Main Authors: Ya-Tang Yang, 楊雅棠
• Other Authors: Shung-Kung Wu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/56116343163099292847

碩士 === 國立勤益科技大學 === 流通管理系 === 99 === Google Maps API source code has been releasing to public since 2005. There are many applications for developers to integrate Google Maps into their websites, such as travel information, procurement market, emergency rescue on the Google Map, etc. In addition, with the emerging Geographic Information System and more mature technique in Augmented Reality in our daily lives, there are many Google Maps applications used in the distribution management in recent years, such as product display or as a marketing tool. Now is the ear of knowledge economy, people needs to enhance their competitiveness through continuous learning. Information technology has been widely used in the e-learning fields and become one of the hottest topics in the world. Because this trend has continued, this study will design an advanced Google Map e-learning system based on the ADDIE model proposed by Driscoll in 2002. This e-learning system will also integrate Google Maps API and Augmented Reality technology to present the content of Google Map teaching materials used for the franchisee and the college students in university. In this study, the Google Map teaching materials include how to use Google Maps electronic mapping system in market area analysis, site selection analysis and marketing planning. Through learning Google Maps API technology, the enterprise can combine all information together, such as products, place and market area integrating in the Google Map. In addition, this Google Maps API e-learning system can also provide the franchisee as a decision support system and spatial query system to integrate franchisee information, to demonstrate the franchisee product and to perform franchisee spatial query and statistics analysis in a dynamic chart. In this study, by using the replacement of Google Map base map feature, the e-learning system is able to perform map replacement by the e-learning teaching contents. Moreover, the e-learning system can also provide learners to implement Google Map-related video teachings through augmented reality technology. This is the major contributions and characteristics in this study.