This article describes an open-source robotic manipulator platform aimed at different levels of STEM education and popularization. It presents the hardware that was used to make a suitable low-cost low-weight manipulator and an evaluation of its capabilities, as well as the software components that were developed to make the platform accessible at…

Slide decks are a ubiquitous form of communication in both academia and business, and business communication instructors must be able to model and teach multimedia design principles. The literature regarding multimedia design has traditionally fallen into two camps: the cognitive school, focused on designing multimedia messages that accommodate…

Over the past few years, diverse forms of STEM (Science, Technology, Engineering and Mathematics) intervention have been designed, demonstrating their beneficial implications on students' cognitive and affective domains. This study aims to systematically review the development of STEM education intervention on secondary education through the…

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…

Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…

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…

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…

Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…

In this paper, we present the analysis of the students' achievements in learning calculus in a dynamic software environment during the COVID-19 crisis. Two groups of students, the experimental and the control one, were monitored. Blended learning was applied to the students in the experimental group, with the help of "Microsoft Teams"…

GPT-3 is a neuronal language model that performs tasks such as classification, question-answering and text summarization. Although chatbots like BlenderBot-3 work well in a conversational sense, and GPT-3 can assist experts in evaluating questions, they are quantifiably worse than real teachers in several pedagogical dimensions. We present the…