Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…

This paper investigates the role of English in voice assistant (Siri, Alexa, Google Assistant) use from the perspective of language ideology. Major commercial companies in the voice assistant market use English as a training language for their speech technologies and offer the most optimised support for standardised varieties of English. This…

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…

EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…

Purpose: The prediction of student attrition is critical to facilitate retention mechanisms. This study aims to focus on implementing a method to predict student attrition in the upper years of a physiotherapy program. Design/methodology/approach: Machine learning is a computer tool that can recognize patterns and generate predictive models. Using…

This research intended to identify key contextual factors that synergistically influence high- and low-performing students' science outcomes by drawing upon a dynamic model of educational effectiveness. The dataset, the Programme for International Student Assessment (PISA) 2015, consisted of 79,963 science scores for secondary students (49,924…

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning methods for detecting and distinguishing diverse SIB types. SIB episodes were captured with body-worn…

For many years, learning continues to be a vital developing field since it is the key measure of the world's civilization and evolution with its enormous effect on both individuals and societies. Enhancing existing learning activities in general will have a significant impact on literacy rates around the world. One of the crucial activities in…

Coprocessor architectures in High Performance Computing are prevalent in today's scientific computing clusters and require specialized knowledge for proper utilization. Various alternative paradigms for parallel and offload computation exist, but little is known about the human factors impacts of using the different paradigms. With computer…

Identifying critical decisions is one of the most challenging decision-making problems in real-world applications. In this work, we propose a novel Reinforcement Learning (RL) based Long-Short Term Rewards (LSTR) framework for critical decisions identification. RL is a machine learning area concerning with inducing effective decision-making…

This article shows how the exciting new field of Machine Learning can be effectively introduced in a standard calculus sequence, once the students have been introduced to functions of several variables. This is an opportunity to engage students in a discussion of an application of calculus to an emerging field that the students encounter in their…

This research describes a case study of an integrated human-computer interaction (HCI) course for construction engineering students using project-based learning and experiential learning cycle methods. To help engineering students keep pace with the increasing use of information technology (IT) in the construction industry, educational…

With recent technological advances, researchers have begun to explore the potential use of spoken dialog systems (SDSs) for L2 oral communication assessment. While several studies support the feasibility of building these systems for various types of oral tasks, research on the construct validity of SDS-delivered tasks is still limited. Thus, this…

The main actor in the learning process is the learner. The concept of "learner" goes beyond the educational level. The new reality in the educational environment presents challenges for the learning process, which mainly concern the adoption of new technologies in that process. The purpose of this commentary is to try to outline the…

Embodied learning pedagogy highlights the interconnections between the brain, body, and the concrete environment. As a teaching method, it provides means of engaging the physical body in multimodal learning experiences to develop the students' cognitive process. Based on this perspective, several research studies introduced different interaction…