Personalized mobile English vocabulary learning system
based on item response theory and learning memory cycle
Source︰ Computers & Education
Author︰ Chih-Ming Chen , Ching-Ju Chung
Date︰ 2008
Reporter ︰ 鍾岳豪
Outline
1. Introduction
2. System design
3. Experiments
4. Conclusions
Introduction
Huckin, Haynes, and Coady (1993) indicated that
reading ability and vocabulary knowledge are two of
the most important components of performance in a
second language.
To read English articles fluently, a learner must
understand at least 2000 commonly used English
words.
● TOEIC
700 UP , need 7000~10000 vocabularies
Introduction
Oxford (1990a) pointed out that language learners
typically have significant difficulty remembering
large vocabularies.
The brain when information is learned, gradually disappear over time.
German philosopher Hermann Ebbinghaus (1885).
Ebbinghaus, based on experimental results,
proposed the forgetting curve.
forgetting curve
Introduction
Item Response Theory (IRT):
It is a widely used theory in education measurement,
typically applied in the field of Computerized Adaptive Testing
(CAT) (Horward, 1990; Hsu & Sadock, 1985) to select the
most suitable items for examinees based on individual abilities.
It is a body of theory describing the application of
mathematical models to data from questionnaires and tests as
a basis for measuring abilities, attitudes, or other variables.
(wiki)
System design
The client mobile learning system, which consists of
three intelligent agents and three databases.
●
vocabulary recommendation agent
●
learning performance assessment agent
●
test agent
support off-line learning
●
Data synchronized agent
Test:
System design
System design
System design
System design
System design
System design
Experiments
15 three-year university students who were
majoring in the Department of English Teaching at
National Hualien University of Education.
●
two male and 13 female
●
received the two hours PDA training course
Experiments Time: Five weeks
●
e-mail to remind
Test:15 multiple-choice questions and 15 cloze questions
averagely selected from three vocabulary levels of GEPT in
Taiwan.
Experiments
Experiments
Experiments
Experiments
Questionnaire analysis:
( questionnaire which involves 18 questions)
●
the investigation of the learners’ learning attitude towards using the
proposed learning system
the suggestions from learners’ feedback responses
● self-assessment of learners’ English vocabulary ability
●
Experiments
Experiments
Experiments
Experiments
Conclusions
Experimental results demonstrated that most
learners believe the review strategy is very helpful
when learning English vocabulary.
Personalized mobile English vocabulary learning
system facilitates English learning without
constraints of time or place by mobile devices.
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