Authors:
Wanintorn Supap
1
;
Kanlaya Naruedomkul
1
and
Nick Cercone
2
Affiliations:
1
Mahidol University, Thailand
;
2
Faculty of Science and Engineering, York University, Canada
Keyword(s):
Mathematical Word Problem, Word Problem Solving, Teachers’ views, Natural Language Understanding.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Context Dependent Learning
;
Domain Applications and Case Studies
;
e-Learning
;
e-Learning Hardware and Software
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Ubiquitous Learning
;
Virtual Labs: Examples, Architecture and Organization
Abstract:
This study investigates Thai teachers’ views in teaching and learning mathematical word problem, and the technology implementation to enhance teaching and learning mathematical word problem. Data were collected by use of semi-structured interviews with 24 mathematics teachers. The result of this study showed that the students’ major difficulty in solving mathematical word problem lies in the understanding of the problem and the translation of the problem into equations. Therefore, the teachers’ suggestions led to the design of a tool to help improve students’ performance in solving mathematical word problem.