Title :
Constructing a self-organizing C++ programming inquiry behavior miner on the forum
Author :
Tseng, Shian-Shyong ; Weng, Jui-Feng ; Lin, Huan-Yu ; Su, Jun-Ming
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
The Web forum is the popular platform used for C++ program learning in which learners can discuss and solve the encountered problems collaboratively. The process of discussions for specific topics in the forum is most likely the inquiry-based learning. Discovering the students´ inquiry behavior models in the forum is helpful for teachers to support the guidance during the inquiry-based learning. In this paper, the clustering analysis is applied to discover the behavior patterns on the forum. Before the clustering, we first apply the divide and conquer mining strategy to classify the documents into purposes and sub-purposes until the number of documents is affordable for clustering analysis. To incrementally maintain the topics of inquiry behavior and efficiently analyze the new inquiry topic, the self-organizing ontology maintenance scheme is proposed. The topics discussed with multiple purposes are identified as inquiry behavior of hot topics. Finally, the experiment of inquiry behavior mining from legacy forums has been evaluated and the experimental result shows the usefulness of the obtained behavior information.
Keywords :
C++ language; Internet; computer aided instruction; computer science education; data mining; divide and conquer methods; groupware; ontologies (artificial intelligence); pattern clustering; teaching; Web forum; clustering analysis; computer-supported collaborative learning; data mining; divide-and-conquer mining strategy; document classification; selforganizing C++ programming inquiry based learning; selforganizing ontology maintenance scheme; student inquiry behavior model; Clustering algorithms; Collaboration; Collaborative work; Computer science; Data mining; Electronic learning; Ontologies; Pattern analysis; Taxonomy; USA Councils; Data mining and knowledge discovery; behavior modeling; forum; inquiry-based learning; programming;
Conference_Titel :
Information Reuse & Integration, 2009. IRI '09. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4114-3
Electronic_ISBN :
978-1-4244-4116-7
DOI :
10.1109/IRI.2009.5211581
