Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

MoleculeCrafter is a novel tool that facilitates the custom creation of flexible and modular macromolecular model kits. These models support student chemical education by providing a manipulable and visuospatial tool to facilitate exploration of chemical structures and their interactions. Here, for the first time, we demonstrate using…

This study builds on prior research on adaptive testing by examining the performance of item calibration methods in the context of multidimensional multistage tests with within-item multidimensionality. Building on the adaptive module-level approach, where test-takers proceed through customized modules based on their initial performance, this…

This study investigates a new model of Yellow River cultural education using virtual reality (VR) photography to enhance cultural learning and identity formation. A mixed-methods case study design was employed, with a focus on the Yellow River Guardian VR exhibition. The participants included 30 university students, 10 audience members, and 5…

This study addresses challenges in digital logic circuit practices by introducing an Arduino-based digital logic circuit practice board module (DLCPBM) designed to improve learning efficiency and sustainability. The DLCPBM comprises three module types that integrate theoretical knowledge with hands-on application, enabling students to intuitively…

Large language models (LLMs) hold significant potential to enhance online learning by automating responses to learner queries and offering personalized, scalable support. However, concerns about bias in LLM-generated responses present challenges to their ethical and equitable use in educational settings. This study explores fairness and…

Children are increasingly exposed to malicious actors online that could cause digital or even physical harm. Research shows that children know little about cybersecurity, but national organizations are emphasizing cybersecurity education. Practitioners have taught cybersecurity in many ways; however, none have utilized social robots to engage…

Sensory differences are nearly universal in autism, but their genetic origins are poorly understood. Here, we tested how individuals with an autism-linked genotype, 16p.11.2 deletion ("16p"), attend to visual information in immersive, real-world photospheres. We monitored participants' (N = 44) gaze while they actively explored 360°…

The main purpose of this research was to do a confirmatory factor analysis of cyberbullying behaviors among undergraduate students in higher education institutions in northeastern Thailand. The sample included 1,062 1st-4th years bachelor's degree students in the academic year 2022 from five higher education institutions located in the Northeast…

Despite vast improvements in technology infrastructure and classroom technology implementation across Malaysia, there still remain teachers who fail to seamlessly integrate technology in their lessons. Potential explanations for this behaviour span from low self-efficacy and computer anxiety to personal attitudes and beliefs. Technology has been…

The paper has three major objectives. The first objective of the paper is to synthesize and define common categories of meta-analysis. The second objective is to propose a way to comprehend these common categories of meta-analysis through learning from their respective generic conceptual frameworks. The third objective is to point out which R…

Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human-computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking…

Entity Resolution (ER) has been one of the bedrocks in the creation of information systems by ensuring ambiguous entities are identified and resolved by linking. One common design approach of traditional ER systems is to run in single-threaded mode, which makes the system prone to out-of-memory error when processing larger datasets. The Data…

Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…