Titlebook: Industrial Applications of Affective Engineering; Junzo Watada,Hisao Shiizuka,Chee-Peng Lim Book 2014 Springer International Publishing Sw

Absenteeism

Thang Cao,Hung T. Nguyen,Hien M. Nguyen,Yukinobu Hoshinoayers of the architecture were defined especially for intelligent university campuses and divided into three distinct sections: the access environment, the recommendations management environment and the persistence layer. The recommendation algorithms integrated to this architecture are considered h

燦爛

Hyaluronic-Acid

LAIR

ny of the outcome variables. We then analysed the survey results for both activities that asked students to characterize their perceptions of these technology-delivered experiences. Students’ perceptions of the worth of the self-paced listening activities were dependent on their level of self-regula

Capitulate

Toshio Matsuoka,Hirokazu Kimura,Hiroyuki Kanai,Fusao Yasuda,Masaki Matsumotooped a model and wrote a prototype which enables the users to customize their established learning scenarios or even build novel ones. Our teachers are now able to design and customize their own in-class learning scenarios, fill them with their content, use them in their lectures and reflect the res

團(tuán)結(jié)

Shinichiro Terasaki,Shin’ya NagasawaAccording to our findings, students’ performance between the groups were comparable, however, the Ranking group revealed differences in the resulted behavior among its members. Specifically, awareness of ranking information mostly benefited students which were relatively in favor of ranking, motivat

牲畜欄

Gum-Disease

ALB

Tomoharu Ishikawa,Kazuya Sasaki,Hiroko Shimizu,Miyoshi Ayamaof knowledge presented is relevant to the learner, resulting in a large amount of information being retrieved for knowledge organisation. Therefore, this paper introduces a machine-based approach to evaluate the . of knowledge by comparing with human judgment. We introduce three ranking models and c

飛行員