Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…

Plagiarism has been among the top forms of academic misconduct. Detective, reactive and proactive measures are taken to mitigate plagiarism in scholarly works. Text-matching tools play a significant role in the detection of plagiarism. Many studies have tested the performance of text-matching tools in detecting plagiarism from various…

Meta-analysis of diagnostic test accuracy (DTA) is a powerful statistical method for synthesizing and evaluating the diagnostic capacity of medical tests and has been extensively used by clinical physicians and healthcare decision-makers. However, publication bias (PB) threatens the validity of meta-analysis of DTA. Some statistical methods have…

The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…

The use of experiments in the undergraduate economics classroom has been shown to have pedagogical value in increasing student learning and engagement, but the startup costs of adopting classroom experiments can be high for instructors. This article serves as a guide to adoption for the first-time user of computerized (online) classroom…

This paper outlines the design of an interactive simulation of Stokes' law, which is used frequently in the study of particle sedimentation and flotation. The software application includes dynamic visualizations and statistical outputs. Descriptions of how the simulation can be used in a teaching context are provided. The application and its…

This article is an excerpt from a master's thesis developed in Brazil, in which we approach recurrent and linear sequences, given some intriguing particularities in their definitions and the scarcity of discussion of this topic in the literature of the History of Mathematics, especially with regard to its geometric representation. Thus, we aim to…

With the release of artificial intelligence image-generation platforms to the broader public in 2022, there is an opportunity to evaluate how image-making practices may change and speculate how graphic design software, such as Photoshop, may evolve. Using a methodology of assemblage, a relational study of Photoshop and Midjourney is gathered to…

Geography education requires a combination of knowledge, skills, and geospatial relational thinking. To improve the learning efficiency and durability of knowledge, a new inquiry-based instruction system using tangible user interfaces has been developed. The tangible landscape modeling system (TLMS) comprises four components including a malleable…

The need to benefit from information technologies in the twenty-first century digital age is increasing in all economies to overcome problems and difficulties and to have desired solutions. So, developing algorithmic thinking has been important as a skill that requires the application of knowledge from different disciplines, especially science,…

The home confinement that was imposed to reduce and control the spread of COVID-19 pandemic led educational systems to implement changes in many school activities. Teachers moved to remote teaching and relied on digital apps to present and discuss learning activities with their students. Likewise, they looked for new routes and means to follow up…

This study aimed to identify the attitudes of public school teachers in the State of Kuwait at various educational stages towards the experience of distance education during the COVID-19 pandemic. The descriptive approach was applied; a questionnaire consisting of four dimensions was developed to measure teachers' attitudes towards distance…

Problem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students' mathematical problem-solving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud…

The Swedish educational system has, so far, accorded little attention to the development of gifted pupils. Moreover, up to date, no Swedish studies have investigated teacher education from the perspective of mathematically gifted pupils. Our study is based on an instructional intervention, aimed to introduce the notion of giftedness in mathematics…

Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then…