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…

Learning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important dimension of scalability, has the potential to provide rich insights within LA. Using a common standard such as the Experience…

The virtual museum tour has claimed new audiences during the pandemic, but not all virtual tours are created equal. First, this paper will explore the world of virtual museums and UX scholarship. Secondly, the paper will propose a viable set of options in determining effectiveness of virtual museums. Thirdly, the paper will discuss specific…

Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…

Courses: This activity can be used in writing-based (communication) courses across various disciplines including, but not limited to, introduction to writing and rhetoric, business communication, and communication research methods. Objectives: On completion of this activity, students will develop critical reading, thinking, and writing skills as…

Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…

This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…

Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…

Purpose: Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent…

This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and…

Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…

Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…

This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…