Metadata plays a vital role in the development and implementation of the National Digital Archives Program (NDAP). We’re now developing an online database for teaching plant recognition, providing students and other users with an access to recognizing all plants possible. While digitalizing the above-mentioned database, this study focuses on “subject and community oriented” metadata kernel set. By using the exact searching and result revealing interface over the same data as well as cross-database retrieval, we aim at uttering convenience and user-friendliness. In view of the ever-increasing data and the need for future integration, we’ve tried to analyze the content and features of possible plants, made comparisons over various metadata standards, constructed a user-friendly database system and designed the plant-related metadata in the dedication of research references at home and abroad. The assistant learning mechanism of this interactive digital archive includes two vital aspects. They are, respectively, student-learning circulation and database-learning circulation, which are worth developing into further application on teaching. Learners of all levels are able to use the system freely and spontaneously. For the exchange of the digital archives, this study constructs a Chinese metadata format and integrates XML technique in the hope of helping students retrieve their data precisely, acquire an integrated concept of plants and learn to appreciate and cherish all plants in their campus.
Research on Improving Teaching Qualities by Using Metadata to Recognize Plants
