Title
A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment
Abstract
Previous studies have reported the importance and benefits of situating students in a real-world learning environment with access to digital-world resources. At the same time, researchers have indicated the need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenario. In this study, a grid-based knowledge acquisition approach is proposed and a Mindtool is developed to help students organize and share knowledge for differentiating a set of learning targets based on what they have observed in the field. An experiment has been conducted in an elementary school Natural Science course for differentiating different species of butterflies. Forty-one fifth-grade students have been assigned to a control group and an experimental group to compare the effect of the conventional approach and that of the proposed approach. The experimental results show that the proposed approach not only improves students' learning achievements, but also significantly enhances their ability of identifying species in the field.
Year
DOI
Venue
2011
10.1016/j.compedu.2010.12.013
Computers & Education
Keywords
Field
DocType
differentiating knowledge,complex learning scenario,repertory grid,interactive learning environments,mindtools,share knowledge,grid-based knowledge acquisition approach,mobile and ubiquitous learning,forty-one fifth-grade student,conventional approach,control group,different species,experimental group,ubiquitous learning environment,teaching methods,entomology,identification,natural sciences,comparative analysis
Repertory grid,Active learning,Computer science,Knowledge management,Ubiquitous learning environment,Teaching method,Pedagogy,Learning environment,Cooperative learning,Grid,Knowledge acquisition
Journal
Volume
Issue
ISSN
57
1
Computers & Education
Citations 
PageRank 
References 
66
2.14
30
Authors
4
Name
Order
Citations
PageRank
Gwo-Jen Hwang13399217.05
Hui-chun Chu267342.23
Yu-Shih Lin3693.94
Chin-Chung Tsai42269164.88