ABSTRACT
There is a great interest in online learning systems, especially due to COVID-19 pandemic. However, there are a lot of limitations and challenges of online laboratory learning systems. This paper presents an efficient technique that provides an intelligent virtual tutor for online laboratory environment, as in engineering and science sectors. Based on the analysis of the student's mouse activities, the AI virtual Assistant or virtual tutor will automatically estimate the difficulties that the student stuck during conducting the steps of lab's experiment. Hence, the virtual tutor can assist the student, accordingly. The technique is based on multi-threshold that are used to discriminate different levels of difficulties. The values of these thresholds are estimated and optimized via the genetic algorithm. The experimental results show that discrimination between different student behaviors can be achieved accurately and efficiently. © 2022 IEEE.
ABSTRACT
The present project was based on the realization of a descriptive model for preschool teachers and managers, in order to know the results obtained during the confinement as a result of COVID 19, which was characterized by the use of a virtual environment. As a means to carry out the interaction, experiences, strategies and activities necessary to develop school skills, the study makes use of data visualization techniques, following the Soukup and Davidson methodology itself, which developed a pilot project and had a set of data, in which the evaluations carried out during the 2019-2022 period for fourteen public preschool institutions in the state of Guerrero were reflected and divided into six areas to be analyzed, including language and communication, thought mathematics, exploration of the environment, social-emotional, arts and physical education. © 2022 IEEE.
ABSTRACT
A service (social) robot is defined as the Internet of Things (IoT) consisting of a physical robot body that connects to one or more Cloud services to facilitate human-machine interaction activities to enhance the functionality of a traditional robot. Many studies found that anthropomorphic designs in robots resulted in greater user engagement. Humanoid service robots usually behave like natural social interaction partners for human users, with emotional features such as speech, gestures, and eye-gaze, referring to the users’ cultural and social background. During the COVID-19 pandemic, service robots play a much more critical role in helping to safeguard people in many countries nowadays. This paper gives an overview of the research issues from technical and social-technical perspectives, especially in Human-Robot Interaction (HRI), emotional expression, and cybersecurity issues, with a case study of gamification and service robots. © 2022, Springer Nature Switzerland AG.