This paper proposes Ubiquitous Context Aware
Recommender Systems for Ubiquitous Learning (UbiCARsUL)
As the new learning paradigm, known as ubiquitous learning or
U-learning, which is supported by the ubiquitous computing
technologies and Context aware recommender systems. Which
enables students to access learning materials by utilizing 2D bar
code or QR Code in Thai Herb campus? Students can learn
about Thai Herb in campus and the system can recommend kind
and type of Thai herb for them. Thai Herb is plant that has been
popular for the treatment of disease for example Creat be taken
to treat colds, Turmeric can cure colon cancer, etc., and to make
beauty products for example the spa in Thailand taking Thai
Herbs to make soap, lotion, shampoo etc. We use collaborative
Filtering approach in recommender systems and using Clustering
algorithm for group students and using Association Rules
algorithm in Data Mining for method for discovering interesting
relations between variables in large databases. We used Mobile
phones or Tablet and using QR Code tags to obtain learning
information from online websites. Students can scan QR Code
tag attached to the corresponding plant to display related
multimedia materials on the screen of mobile phones. The theory
of such technology and to improve teaching and learning. In the
future, we are interested in implement experiments from two
groups of 80 students. First group learned in a normal way and
second group students of the experimental group were required
to use the UbiCARsUL system. The instrument used in this
study was a questionnaire. And school performance By
measuring the satisfaction of learning and academic performance
of the students before and after learning. Tool to measure the
value and the Mean Absolute Error (MAE) and Coverage. And
best algorithm to evaluate of a Ubiquitous Context Aware
Recommender Systems for Ubiquitous Learning (UbiCARsUL).
Keywords—Context Aware Recommender Systems; QR Code;
Ubiquitous Computing; Ubiquitous Learning