We proposed speech-enabled language translation (SELT) technology that consists of speech-to-text recognition (STR) and computer-aided-translation (CAT) systems to support intercultural communication. When the participants spoke in their native languages, the STR system generated texts from their voice input, and the CAT system translated the…

Teachers often use in-class questions to examine the level of understanding of their students, while these also enable students to reorganize their acquired knowledge. However, previous studies have shown that students may resist being questioned because of negative emotions. Therefore, this paper proposes the idea of eliciting positive emotions…

In recent years, along with the development of mobile technology, vocational nursing education has improved greatly. In light of this emerging mobile technology, it brings the clinical practice of vocational nursing education closer to authentic learning than ever. In fact, some studies revealed that learners' learn states and learning outcomes…

Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self-reported questionnaires. With the advance of affective computing technology,…