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.
- Categories:
9 Views
Student disengagement is a critical challenge in educational environments, impacting learning outcomes and overall classroom dynamics. This study investigates the key factors contributing to student disengagement in classroom settings, focusing on environmental conditions, lesson types, student demographics, and specific disengagement behaviors. Conducted in a school in the United Arab Emirates, the research spans multiple lessons and subjects for students in Kindergarten and Elementary levels.
- Categories:
65 Views
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.
- Categories:
114 Views
Experimental Setup:
We conducted the experiment over two separate days. On the first day, the participants inspected the object Canva (Web version), while on the second day, they inspected the object Skoob (Web version). Our study had 31 participants (undergraduate students enrolled in the HCI - Human-Computer Interaction Course).
- Categories:
106 Views
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.
- Categories:
271 Views
This dataset from the Ateneo Experience Sampling App (AESapp) contains 618 records assessing student emotional states (happiness, engagement, anger, anxiety, sadness) and contextual factors (online status, online activity, location, activity, companionship). Of these, 454 responses are complete. Each entry includes a timestamp, user ID, and response status. The dataset enables analysis of within-person and between-person variations in well-being, examining how situational factors influence emotions over time.
- Categories:
119 Views
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.
- Categories:
26 Views
ATPAD: An Accessible Tool for Atmospheric Data Processing and Visualization is a Python-based project that enables the analysis and visualization of pre-processed databases in an easy and freely accessible manner. As an example, we apply ATPAD to process and visualize data from the University Network of Atmospheric Observatories (RUOA) of the National Autonomous University of Mexico (UNAM), using three different stations located across Mexico. The access to the analyzed data-set an be found here.
- Categories:
121 Views
In a rapidly evolving digital era, businesses are under increasing pressure to innovate and adapt quickly. Pegasystems, a recognized business in low-code platforms, is at the forefront of this transformation, empowering clients to build applications with greater speed and efficiency. By seamlessly integrating generative AI into its platform, Pegasystems has taken the development experience to the next level, making application creation not just simpler but also smarter.
- Categories:
13 Views
Abstract:
- Categories:
418 Views