Education and Learning Technologies

This dataset contains likert scale responses (on a scale of 1 to 5) from 10 instructors on nine verbal immediacy behaviours, seven non-verbal immediacy behaviours and six instructional methodological factors (V, F or Don't Know). The responses to the three sets of questions related to how these behaviours and methodological practices, from the instructors' point of view, affect their perception of social presence on the part of their students.

New technology solutions including tablets and advanced applications exist in modern classrooms across Indonesia but typically they miss the core educational objectives. The process of elementary school children memorizing the emoticon "happy" represents a lack of comprehension while high school students find themselves overwhelmed by IoT data and teachers work to adapt to AI-based educational requirements.

One of the leading causes of early health detriment is the increasing levels of air pollution in major cities and eventually in indoor spaces. Monitoring the air quality effectively in closed spaces like educational institutes and hospitals can improve both the health and the life quality of the occupants. In this paper, we propose an efficient Indoor Air Quality (IAQ) monitoring and management system, which uses a combination of cutting-edge technologies to monitor and predict major air pollutants like CO2, PM2.5, TVOCs, and other factors like temperature and humidity.

Teaching effective nursing intervention to manage the common ventilator alarms and potential complications at the bedside with real patients is difficult among nursing students. As it may be due to logistic limitations, such as: limited space, patient number in Intensive Care Unit (ICU) and potential risks in ICU. Students express their needs to learn and practice high-risk procedures and practice nursing care to critical ill patients in ICU setting.