Medical students are taught the importance of variable relationships in scientific research. We propose augmenting this education with teaching about direct acyclic graphs (DAGs)--a graphical model used to analyze complex systems of variables. DAGs are increasingly used in medical research and education about their creation and use would be…

Binding price controls (i.e., price floors and ceilings) hinder the efficiency of markets by eliminating mutually agreeable transactions, which are often graphically illustrated in principles of economics textbooks using Harberger's Triangle. However, price controls create another form of inefficiency by eliminating the incentives for the…

Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…

This study explores the potential to enhance the performance of convolutional neural networks (CNNs) for automated scoring of kinematic graph answers through data augmentation using Deep Convolutional Generative Adversarial Networks (DCGANs). By developing and fine-tuning a DCGAN model to generate high-quality graph images, we explored its…

This article examines newly introduced eccentricity topological descriptors that are used to analyze the structures of polycyclic aromatic hydrocarbons. The purpose is to identify structural components that have a significant impact on physicochemical properties. Regression analysis applies to find potential correlation between different drugs…

Knowledge tracing (KT) plays a key role in adaptive learning, yet traditional recurrent neural network-based methods often struggle with sparse data and overlook relationships between knowledge points. To address these limitations, this paper proposes a novel knowledge tracing model (KGS-KT) that integrates knowledge graphs, graph convolutional…

While previous educational governance literature on datafication has paid attention to comparison across spatial entities like countries and schools, temporal comparison in terms of progression (including prediction) has received less attention. One of the material forms in which progression and prediction data are circulated is the visual form of…

This study addressed an issue relevant to information and research literacy: how students cope with the challenges of reading a one-sided informational text that is combined with ambiguous graphical information. The topic discussed in the text was the impact of digitalization on students' reading comprehension, and 120 university students were…

The aim of this paper is to explore the use of function graphs to model a given picture of the Golden Gate Bridge, an iconic architectural structure located in San Francisco. This illustration is sourced from the guide on drawing the Golden Gate Bridge ("How to Draw the Golden Gate Bridge", n.d.). We use the digital graphing calculator…

School-based citizen science (SBCS) provides opportunities for teachers to purposefully integrate mathematics and science content and practices throughout the year. With SBCS projects, students have countless opportunities to apply their mathematics skills within the context of science data collection and sense making. This article details how a…

This literature review covers 42 years and has two main objectives: to identify the obstacles to learning the polar coordinate system and to explore the teaching proposals suggested to overcome them. These questions are answered by locating and analysing articles related to the topic published in research and practitioner journals specialising in…

One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…

The aim of this study is to investigate how students graphically represent qualitative and quantitative aspects of co-varying quantities in an embodied digital learning environment that provides feedback in the form of an animation showing what kind of motion their graph represents and how this feedback helped them to overcome typical graphing…

Misleading data visualizations have become a significant issue in our information-rich world due to their negative impact on informed decision-making. Consequently, it is crucial to understand the factors that make viewers vulnerable to misleading data visualizations and to explore effective instructional supports that can help viewers combat the…

The ability to accurately interpret mathematical functions is crucial for understanding complex physical and mathematical concepts. Differentiating isothermal from adiabatic change of state in p-V diagrams respectively graphs of indirectly proportional functions from graphs of power functions in x-y diagrams presents a common challenge for…