TY - GEN
T1 - Adaptive interface model for lecture allocation system
AU - Hashiura, Yuji
AU - Matsuo, Tokuro
AU - Terashima, Takanori
PY - 2010
Y1 - 2010
N2 - In recent years, elective subject system is widely employed in many universities. It is one of the most important educational system in which students can freely select the lecture based on their preferences and purpose. Elective subject is expected to increase student's motivation for learning because this has high flexibility. But, because mechanical lecture allocation mechanisms used by many universities don't consider student's preferences and purpose, existing trivial mechanism cannot bring out the effects of elective subjects. Especially when the number of student who attend a lecture exceeds the seating capacity, the university choose student by lottery or first-arrival basis and provides with the right to attend a lecture. Lecture allocation problems are widely researched by a lot of researchers. However, in most of existing researches, the lecture allocation systems have a complicated input methods and interfaces to make student's indicate their preferences. Student's ability to input his/her preferences depends on the experience and knowledge. It is different by each students have. This paper proposes an adaptive interface design model in lecture allocation system. The model changes adaptive interface design based on student's ability. In our method, first, when students use the system for the first time, they declare their abilities. Second, when students operate the system, the system gets operational logs. Then the system design and interface for each student in subsequent use. System interfaces are defined base on user model which is constructed by features of user behavior defected through our preinvestigation. Advantages of our proposed methods and model are as follows. First the interface supports student's operations. Second, student can input his/her preferences precisely. As the result, lecture allocation is conducted effectively.
AB - In recent years, elective subject system is widely employed in many universities. It is one of the most important educational system in which students can freely select the lecture based on their preferences and purpose. Elective subject is expected to increase student's motivation for learning because this has high flexibility. But, because mechanical lecture allocation mechanisms used by many universities don't consider student's preferences and purpose, existing trivial mechanism cannot bring out the effects of elective subjects. Especially when the number of student who attend a lecture exceeds the seating capacity, the university choose student by lottery or first-arrival basis and provides with the right to attend a lecture. Lecture allocation problems are widely researched by a lot of researchers. However, in most of existing researches, the lecture allocation systems have a complicated input methods and interfaces to make student's indicate their preferences. Student's ability to input his/her preferences depends on the experience and knowledge. It is different by each students have. This paper proposes an adaptive interface design model in lecture allocation system. The model changes adaptive interface design based on student's ability. In our method, first, when students use the system for the first time, they declare their abilities. Second, when students operate the system, the system gets operational logs. Then the system design and interface for each student in subsequent use. System interfaces are defined base on user model which is constructed by features of user behavior defected through our preinvestigation. Advantages of our proposed methods and model are as follows. First the interface supports student's operations. Second, student can input his/her preferences precisely. As the result, lecture allocation is conducted effectively.
KW - Adaptive model
KW - Campus information systems
KW - Interface
KW - Lecture allocation systems
UR - https://www.scopus.com/pages/publications/78649288440
UR - https://www.scopus.com/pages/publications/78649288440#tab=citedBy
U2 - 10.1109/ICIS.2010.149
DO - 10.1109/ICIS.2010.149
M3 - Conference contribution
AN - SCOPUS:78649288440
SN - 9780769541471
T3 - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
SP - 526
EP - 528
BT - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
PB - IEEE Computer Society
T2 - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Y2 - 18 August 2010 through 20 August 2010
ER -