In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…

Since the phenomenal success of deep neural networks (DNNs) on image classification, the research community have been developing wider and deeper networks with complex components for a variety of visual understanding tasks. While such "heavy" models achieve excellent performance, they pose two main challenges: (1) the training requires a…

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

To evaluate the evolution of statistical education research aimed at the inclusion of technological resources in the initial and continuing education of teachers in Brazil, a systematic literature review (SLR) was conducted on 25 works published in the Scientific Proceedings of the National Meeting of Mathematics Education and on 7 papers from the…

Digital scholarship programs, a university unit of relatively recent origin, provide support and community for scholars integrating digital technologies into their research, teaching, and engagement work. But they have not been well defined in higher education scholarship and sometimes not even well understood on their campuses. To clarify the…

Networked and digital technologies are increasingly being used for learning in formal and informal contexts, and participant engagement occurs primarily via online discussions. In this paper, we describe an ongoing research project that focuses on examining and understanding student engagement in collaborative online discussions within a formal…

Diagnostic uncertainty is prevalent throughout medicine and significantly impacts patient care, especially when it goes unrecognized. However, we lack a reliable clinical means of identifying uncertainty. This study evaluates the narrative discourse within clinical notes in the Electronic Health Record as a means of identifying diagnostic…

The rapid development of digital technology and its pervasiveness in everyday life requires everybody to develop the skills necessary to engage with such technology for one's mundane tasks and communication needs. The first steps towards developing these skills can be particularly challenging for older adults, who might need to fundamentally adapt…

In this article, we suggest incorporating visual images into peace education through "interactive peace imagery" (IPI). We will show, and illustrate with examples from our work, that interactive teaching creates a space for students to reflect upon their socializations, including visual ones, without which image interpretation cannot be…

Technological developments have made digital literacy one of the survival skills in the 21st century, which is linked to development of teacher core competencies, and digital literacy. This study aims to evaluate the level of digital literacy among teachers in the classroom. This descriptive qualitative case study involved 6 teachers at elementary…

At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…

This quantitative correlational study investigated the potential impact of technostress on rural high school teacher burnout. The purpose of this study was to determine the possible correlations between the five techno-stressors that make up technostress and the burnout experienced by rural Arkansas high school teachers. The person-environment fit…

This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create…

Operations Research (OR) is a branch of applied mathematics that deals with optimization problems arising from different real contexts. The solving process of its problems is based on the construction and resolution of mathematical models, showing the possible connections between mathematics and the real world. Nevertheless, OR is not typically…

Foresight studies conducted by the College of Social Work at Assiut University, Egypt, have enabled us to identify key variables that may enhance its strength by 2030. This study presents a conceptual framework based on the methodology and findings of implementing the Matrix of Cross Impacts Multiplication Applied to a Classification (MICMAC)…