Semantic model of syllabus and learning ontology for intelligent learning system

被引:6
作者
Chung, Hyun-Sook [1 ]
Kim, Jung-Min [2 ]
机构
[1] Dept of Computer Engineering, Chosun University, Gwangju
[2] Dept of Computer Engineering, Daejin University, Pocheon
来源
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8733卷
关键词
Curriculum; e-learning; Learning path; Ontology; Syllabus;
D O I
10.1007/978-3-319-11289-3_18
中图分类号
学科分类号
摘要
The syllabus is a blueprint of course for teaching and learning because it contains the important meaning of promise between instructor and students in higher education and university. However, the current most of all syllabus management systems provide simple functionalities including creation, modification, and retrieval of the unstructured syllabus. In this paper, our approach consists of a definition of the ontological structure of the syllabus and semantic relationships of syllabuses, classification and integration of the syllabus based on ACM/IEEE computing curriculum, and formalization of learning goals, learning activity, and learning evaluation in syllabus using Bloom’s taxonomy for improving the usability of the syllabus. Also, we propose an effective method for enhancing the learning effect of students through the construction of subject ontology, which is used in discussion, visual presentation, and knowledge sharing between instructor and students. We prove the retrieval and classification correctness of our proposed methods according to experiments and performance evaluations. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:175 / 183
页数:8
相关论文
共 12 条
[1]  
Rubens N., Kaplan D., Okamoto T., E-Learning 3.0: Anyone, anywhere, anytime, and AI, International Workshop on Social and Personal Computing for Web-Supported Learning Communities, (2011)
[2]  
Yu D., Zhang W., Chen X., New Generation of e-learning Technologies, Proceedings of First International Multi-Symposiums on Computer and Computational Sciences, pp., pp. 455-459, (2006)
[3]  
Chi Y., Developing curriculum sequencing for managing multiple texts in e-learning system, Proceedings of International Conference on Engineering Education, (2010)
[4]  
Libbrecht P., Cross curriculum search through the Geoskills’ Ontology, Proceedings of SEAM 2008, pp. 38-50, (2008)
[5]  
Shackelford R., McGettrick A., Sloan R., Topi H., Davies G., Kamali R., Cross J., Impagliazzo J., Leblanc R., Lunt B., Computing Curricula 2005: The Overview Report, ACM SIGCSE Bulletin, 38, 1, (2006)
[6]  
Apple W.P.F., Horace H.S.I., Educational Ontologies Construction for Personalized Learning on the Web, Studies in Computation Intelligence, 62, pp. 47-82, (2007)
[7]  
Mizoguchi R., Tutorial on ontological engineering-Part2: Ontology development, tools and languages. New Generation Computing, OhmSha & Springer, 22, 1, (2004)
[8]  
Mizoguguchi R., Bourdeau J., Using Ontological Engineering to Overcome AI-ED Problems, International Journal of Artificial Intelligence in Education, 11, 2, pp. 107-121, (2000)
[9]  
Marco R., Joseph S., Curriculum Management and Review-an ontology-based solution. Technical Report # DIT-07-021, (2007)
[10]  
Nilsson M., Palmer M., Brase J., The L.R., Binding-principles and implementation, Proceedings of The 3rd Annual ARIDNE Conference, (2003)