期刊論文
| 學年 | 92 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2004-05-01 |
| 作品名稱 | Validating proficiency-mining strategy in adaptive learning environment |
| 作品名稱（其他語言） | |
| 著者 | Chen, Peng Wen; Shyu, Yuh Huei |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Geneva: Inderscience Publishers |
| 著錄名稱、卷期、頁數 | International Journal of Continuing Engineering Education and Life-Long Learning 14(4-5), pp.370-387 |
| 摘要 | The strategies of detecting learning state and generating relative adaptation link affect the success of adaptive navigation. Proficiency is a classic indicator in testing the learning state of programming. Similar to data mining, proficiency mining is added in the learning process to explore each learner's proficiency from observable behaviour. This paper presents a web-based learning system (NMPTE) embedded with a proficiency-mining strategy that is used for supporting adaptive navigation. The strategy involves using selected parameters to characterise the process of coding rehearsal. The criteria of selecting parameters are based on the psychology researches and the basic properties of learning to program. Web technologies with the standard of XML are adopted to describe adaptive curricula and proficiency parameters. Our experience demonstrates that proficiency mining shows sufficient evidence to represent programming performance and becomes a tool to detect users' features in adaptation system. |
| 關鍵字 | programming proficiency;proficiency indicator;proficiency mining;adaptivity;learner-centred;distance learning;interactive learning environment;adaptive learning;web-based learning;internet;adaptive navigation;e-learning |
| 語言 | en |
| ISSN | 1560-4624 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | CHE |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59989 ) |