Architecture for active conceptual modeling of learning

Authors:
T. C. Ting;Peter P. Chen;Leah Wong
Affiliations:
Computer Science & Engineering Department, University of Connecticut, Storrs, CT;Computer Science Department, Louisiana State University, Baton Rough, LA;Space and Naval Warfare Systems Center San Diego, San Diego, CA
Venue:
Active conceptual modeling of learning
Year:
2007

Citing 3
Cited 0

The entity-relationship model—toward a unified view of data

ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Understanding the semantics of data provenance to support active conceptual modeling

Active conceptual modeling of learning
Suggested research directions for a new frontier – active conceptual modeling

ER'06 Proceedings of the 25th international conference on Conceptual Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

The concept of Active Conceptual Modeling of Learning (ACM-L) has been explored in order to capture content and context changes that permit a comprehensive learning from the past, understanding the present, and forecasting the future. Such capability has not been fully explored and it is not available with today's static oriented database system. The potential of creating a "database of intention" that can have its own aim to understand the intentions of its users and the changes to their environment. This paper explores an architectural approach for the "database of intention" with predictability power. The proposed architecture is presented, illustrated, and discussed.