LMS (Learning Management System) based selfstudy with simple multiple-choice questions is available with no need to score by using its automatic scoring capability. However, this type of learning environment cannot help students who do not have enough learning management and self-study abilities. As a basis for constructing user adaptive learning environment, this study aims to develop an e-Learning system for supporting each one's self-study of knowledge acquisition. To improve learning activities of students who have not been enough supported, this paper focuses on the automatic learning contents delivery to each user's mobile device, and constructs an English words learning system based on multiple choice tests. By collecting all users' historical data through the operational experiment of this developed system and getting feedback of subjective evaluation from students, the effectiveness of the developed system is analyzed. From the analysis result, this paper examines practical effectiveness of item response theory for user adaptive learning contents provision because maintaining each user's motivation is considered to be important issue in the learning of knowledge acquisition, and item response theory can control the difficulty of exercises in response to each user's understanding. Based on the result of preliminary experiment, the effect of item response theory was shown between students with different learning ability. Additionally this paper gives discussion for realizing e-Learning service with learner adaptation functionality, the conceptions to evaluate each user's learning effort and to realize the learning of knowledge acquisition.
[1]
Tomoko Kashima,et al.
Development of Push-Based English Words Learning System by Using E-Mail Service
,
2013,
HCI.
[2]
Paul Resnick,et al.
Recommender systems
,
1997,
CACM.
[3]
Fritz Drasgow,et al.
Detecting Inappropriate Test Scores with Optimal and Practical Appropriateness Indices
,
1987
.
[4]
W. Doise.
The social development of the intellect
,
1984
.
[5]
Fritz Drasgow,et al.
Appropriateness measurement with polychotomous item response models and standardized indices
,
1984
.
[6]
Tomoko Kashima,et al.
Proposal of an e-learning system with skill-based homework assignments
,
2011,
IMECS 2011.
[7]
Tomoko Kashima,et al.
Evaluating an Automatic Adaptive Delivery Method of English Words Learning Contents for University Students in Science and Technology
,
2014,
HCI.
[8]
Sophie Ahrens,et al.
Recommender Systems
,
2012
.
[9]
De Ayala,et al.
The Theory and Practice of Item Response Theory
,
2008
.
[10]
V. Richardson,et al.
Constructivist Pedagogy
,
2003,
Teachers College Record: The Voice of Scholarship in Education.
[11]
Shimpei Matsumoto,et al.
How to Nurture Students' Study Habits Using a Handy E-learning System with Cell Phones
,
2011
.