Catálogo de publicaciones - libros
Advances in Web-Based Learning: 4th International Conference, Hong Kong, China, July 31 - August 3, 2005, Proceedings
Rynson W. H. Lau ; Qing Li ; Ronnie Cheung ; Wenyin Liu (eds.)
En conferencia: 4º International Conference on Web-Based Learning (ICWL) . Hong Kong, China . July 31, 2005 - August 3, 2005
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Information Systems Applications (incl. Internet); Information Storage and Retrieval; Artificial Intelligence (incl. Robotics); User Interfaces and Human Computer Interaction; Multimedia Information Systems; Computers and Education
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-27895-5
ISBN electrónico
978-3-540-31716-6
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2005
Tabla de contenidos
doi: 10.1007/11528043_41
The Impact of E-Learning on the Use of Campus Instructional Space
Tatiana Bourlova; Mark Bullen
The use of e-leaning is growing in universities and colleges across North America but these institutions do not fully understand how and in what form it can contribute to their missions, what the indicators of the successful implementation of e-learning would be, and how to assess the changes caused by e-learning. The study approaches e-learning from the institutional perspective, outlining the effects of e-learning on the use of the instructional space on campus.
- Pedagogical Issues | Pp. 397-405
doi: 10.1007/11528043_42
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
Jin Du; Qinghua Zheng; Haifei Li; Wenbin Yuan
Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper proposes a new concept called personality mining to find the “deep” personality through the observed data about the behavior. First, a learner model which includes personality model and behavior model is proposed. Second, we have designed and implemented an improved algorithm, which is based on Apriori algorithm widely used in market basket analysis, to identify the relationship. Third, we have discussed various issues like constructing the learner model, unifying the value domain of heterogeneous model attributes, and improving Apriori algorithm with decision domain. Experiment result indicated that this algorithm for mining association rules between behavior and personality is feasible and efficient. The algorithm has been used in a web-based learning environment developed at Xi’an Jiaotong University.
- Pedagogical Issues | Pp. 406-417