Titlebook: Leistungsf?rderndes Entgelt erfolgreich einführen; Gestaltungshinweise ifaa – Institut für angewandte Arbeitswissenschaft Book 2018 Spring

吸收

書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen影響因子(影響力)




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen影響因子(影響力)學(xué)科排名




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen網(wǎng)絡(luò)公開度




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen被引頻次




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen被引頻次學(xué)科排名




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen年度引用




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen年度引用學(xué)科排名




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen讀者反饋




書目名稱Leistungsf?rderndes Entgelt erfolgreich einführen讀者反饋學(xué)科排名

澄清

Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffacial expression is 93.63%. The high accuracy shows the application of CNN to recognize facial expression is valuable and helpful for the teachers in the future distance education system to attain and understand the learners’ emotion state in real time, accordingly to regulate the teaching strategy

官僚統(tǒng)治

Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffacial expression is 93.63%. The high accuracy shows the application of CNN to recognize facial expression is valuable and helpful for the teachers in the future distance education system to attain and understand the learners’ emotion state in real time, accordingly to regulate the teaching strategy

Gourmet

排斥

enflame

in their assignments and narratives documented on the questionnaires after experiencing knowledge-building activities. Correlation analysis showed that the perceived learning dimension moved from a traditional mode to a more constructive mode compared to the beginning of the course. In summary, this

光滑

前面

g theory. To perform this goal, a VR subcutaneous injection scenario is constructed and used as the skill training sample for the two-year college nursing students to understand their experience during the VR training process. The constructed training system includes completed step by step operation

催眠藥

烤架

Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffoften ignored during the distance education learning process. In this paper, the study purpose is mainly concerned with how to effectively recognize the emotion through the way of using facial expression for the future distance education learning. We apply the method of Convolutional Neural Network