loading...
Dynamic Learning Need Reflection System for Academic Education and Its Applicability to Intelligent Agents
Sixth IEEE International Conference o ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Yoshitaka Sakurai, Tokyo Denki University, Japan
Shinichi Dohi, Tokyo Denki University, Japan
Shogo Nakamura, Tokyo Denki University, Japan
Setsuo Tsuruta, Tokyo Denki University, Japan
Rainer Knauf, Technical University Ilmenau, Germany
A new concept DLNR (Dynamic Learning Need Reflection) and its system used in the education at a university are suggested. The effects, particularly on the learning of software agents, are analyzed.

DLNR?s goal is to increase students' learning motivation through dynamically clarifying and reflecting their learning need. To attain this, DLNR includes "prerequisite conditions", "no compulsory subjects", "payment for each subject" and "Grade Point Average: GPA" to estimate learning results.

By using a tool to realize DLNR, students design their learning need, namely their graduation timeline, by themselves to achieve their academic goal towards their job after graduation. Through taking classes, students dynamically modify the timeline reflectively according to the intermediate results shown by GPA.

DLNR?s effects are evaluated. Particularly, DLNR was found applicable to the learning of software agents for intelligent system assistants, through incorporating more general tools such as Storyboard.

Citation:
Yoshitaka Sakurai, Shinichi Dohi, Shogo Nakamura, Setsuo Tsuruta, Rainer Knauf, "Dynamic Learning Need Reflection System for Academic Education and Its Applicability to Intelligent Agents," icalt,pp.459-463, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.


Click here to go to beta feedback form