This study explores the impact of remote emergency learning during the COVID-19 pandemic on students' perception and acceptance of blended learning after the pandemic. The study applies the Community of Inquiry framework to understand the predictors and whether there is any statically significant correlation between the experience of remote teaching and students' perception and acceptance of the blended learning mode in the future as a stage in the gradual return to normal life after the pandemic. In addition to examining the correlation between students' perception of cognitive, teaching and social presences on their perception of blended learning, the correlation between technological and financial factors as well as demographic data on the intention to enrol in blended learning in the future is examined. The study surveyed one hundred and fifteen students from female Saudi Universities who are enrolled in a design major. The results revealed that the teaching, cognitive and social presences constructs are predictors of students' perception and acceptance of blended learning. Further, the facilitating conditions and efforts expectancy are also predictors of the perception of blended learning. The study also found that there is a significant correlation between the CoI and the selected constructs from the UTAUT when it comes to studying students' perception of blended learning.
Communication takes place not only through speech, but also through gestures such as facial expressions, gaze, head movements, hand movements and body posture. Although developing rapidly, current communication platforms do not facilitate the types of behaviour we believe are needed to fully support non-verbal communication and make interactions more engaging and efficient. In this paper, we decided to focus our research specifically on the head rather than any other body part as it is a rich source of information for speech-related movement. Thus we aim in this study to investigate the value of incorporating head movements into the use of telepresence robots as communication platforms; by means of investigating a system that manually reproduces head movement as closely as possible. The essential quantitative results revealed no significant differences on any of the measures we used. However, the qualitative information from the experiment indicates of further research will be useful in this area. These findings suggest that an enclose body language are required for a realtime communication beside the head nodding.
Most of the work in affective computing within telepresence robot platforms adds to current research and knowledge generation as opposed to application. The main reason behind this lack of benefit is that most research does not represent reality, and the actual capabilities we have in the real world do not match the capabilities that are used in research. Taking this into consideration, this paper helps in establishing a new method to display naturalistic behaviour that can be feasibly implemented for telepresence (TP) interaction. Based on an understanding of different aspects of human-human interaction (HHI) a three phases rhythm were proven to exist between nonverbal and certain verbal behaviours of speakers and listeners. We chose the gestures related to our research, and tried to match them with the proposed TP phases by identifying which best matched the phase descriptions. Thus, this study provided step by step guidelines to govern the creation of practical user interfaces that will capture the vocal stream, and allow users to relate to natural nonverbal behaviours that spontaneously arise during speech.
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