id: 02371215
dt: j
an: 2008d.00554
au: Wong, Wing-Kwong; Hsu, Sheng-Cheng; Wu, Shih-Hung; Lee, Cheng-Wei; Hsu,
Wen-Lian
ti: LIM-G: Learner-initiating instruction model based on cognitive knowledge
for geometry word problem comprehension.
so: Comput. Educ. (Exeter) 48, No. 4, 582-601 (2007).
py: 2007
pu: Elsevier, Exeter
la: EN
cc: U50 D50
ut: intelligent tutoring system; learner-initiating instruction; problem
posing; geometry; word problems; problem comprehension; problem
solving; modes of representation
ci:
li: doi:10.1016/j.compedu.2005.03.009
ab: Summary: Computer-assisted instruction systems have been broadly applied to
help students solve math word problem. The majority of such systems,
which are based on an instructor-initiating instruction strategy,
provide pre-designed problems for the learners. When learners are asked
to solve a word problem, the system will instruct the learners what to
do. However, systems employing an instructor-initiating instruction
strategy offer little help to advanced learners or to learners
encountering problems that are not in the pre-designed database.
Therefore, in this study, a learner-initiating instruction model
(LIM-G) is proposed to help learnersâ€™ comprehension of geometry word
problems. Geometry word problems are math word problems involving
geometric concepts. Many researches indicate that learners encounter
difficulties while comprehending math word problems. In this model, a
learner can seek help with any geometry word problem he is interested
in. Based on a learner-initiating instruction strategy, LIM-G first
comprehends the problem and then gives the learner the telegraphic and
diagrammatic representations of the problem, which are more intuitive
to understand. For LIM-G, the comprehension mechanism plays a critical
role in solving word problems. For this study, a system is built based
on LIM-G. In this system, the cognitive knowledge needed for
comprehending geometry word problem is constructed with an
ontology-based tool called InfoMap. Using cognitive knowledge and
frame-template structures, the system can extract the relevant concepts
in geometry word problems for comprehension.
rv: