| Summary: | 碩士 === 國立成功大學 === 資訊工程學系 === 102 === For e-learning environments, computerized test and diagnosis is an important issue from which instructors can know learners’ learning statues by assessments. In general, test result only provides a single score which is insufficient information for assessment. Since the test sheet consist implicit information of both concepts, concept r relationships of a subject may incredibly help learners for better learning achievement. This study proposed an approach to analyze test results by using implicit information extraction process and, visualizes knowledge structure with concept map for assisting learners understanding their learning status in detail. Furthermore, a Concept Map-Smart Extraction and Explicit Diagnosis (CM-SEED) learning system was developed to diagnose learning barriers and misconceptions whilst providing suggestions and guidance as remedial learning. An experimental study was conducted with 90 participants in a university, and they were randomly assigned into an experimental group and a control group. The result indicates students of the experimental group performed significantly achievement and obtained better learning perception than those students in control group. Additionally, the students in experiment group belong to the learning styles of reflective and sensing learners have better learning achievement.
|
|---|
