Journal article
Developing and Analyzing the MP (Materialization Pattern) Model for Math Educational Standards
J.UCS (Annual print and CD-ROM archive ed.), Vol.16(17), pp.2394-2414
01 Jan 2010
Abstract
Educational standards alignment, which matches similar or equivalent concepts of educational standards, is a necessary task for educational resource retrieval. In order to automate the alignment task, it is important to model the semantics of educational standards statements that are imperative mood sentences. In this paper, we present the MP (Materialization Pattern) model for representing the semantics of math educational standards for the purpose of aligning math educational standards. This article first classifies math educational standards statements into 16 types and then converts them to the MP model. The MP model is based on the Reed-Kellogg sentence diagrams, and created as MP diagrams using the UML notation. The MP model explicitly represents the semantics of the sentences by capturing math concepts and the cognitive process of the math concepts from math educational standards statements. The MP model is developed for automating the alignment of math educational standards.
Metrics
1 Record Views
Details
- Title
- Developing and Analyzing the MP (Materialization Pattern) Model for Math Educational Standards
- Creators
- Namyoun Choi - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USAIl-Yeol Song - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USAYuan An - Drexel University
- Publication Details
- J.UCS (Annual print and CD-ROM archive ed.), Vol.16(17), pp.2394-2414
- Publisher
- Graz Univ Technolgoy, Inst Information Systems Computer Media-Iicm
- Number of pages
- 21
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170466004721
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods