Item
response theory (IRT) provides more accurate and fairer evaluations
of individual abilities than classical test theory does, and thus
the IRT has gradually been recognized as one of the proper evaluation
methodologies in many testing fields.
Teaching using textbooks works in university education as well as
self-studying using online learning systems.
However, they have not been connected each other.
Thus, to utilize both beneficial sides of textbooks and the internet
system,
we propose a new learning style using textbooks and online testing
for exercises using the adaptive online IRT testing systems, called
``Ai Arutte''.
In this paper, we introduce a new use of the adaptive online IRT
testing system to assist self-learning in studying undergraduate
subject, Linear Algebra, and we show its learning analytics.
The combination of a mathematical textbook and the adaptive online
IRT system works well.
``Ai Arutte'' case shows that students feel this kind of self-studying
is fun and interesting. |
|
|
|
|
| self-learning,
self-studying, learning analytics, item response theory,
adaptive online testing, textbook. |
|
|