Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…

This study reviewed papers in the Web of Science database from 2010 to 2020, which were relevant to the integration of the dynamic geometric software, GeoGebra, into mathematics education with a focus on publication trends, research methods, participants, application domains, learning strategies, and research issues. It was found that there have…

Videos as instructional materials have become an important part of higher education. The ability of videos to be shared and used in social and educational settings demonstrates their increasingly significant contemporary impact. Identifying the video features that affect student engagement as a success indicator can therefore contribute to the…

This study aims to explore and tackle different phenomena of syllable structure and syllabification patterns in Jordanian Arabic (JA). The study compares and contrasts the permissible syllable structures in different Jordanian dialects. It also presents a comprehensive analysis of how speakers of different Jordanian dialects tackle the consonantal…

Voice banking involves recording an inventory of sentences produced via natural speech. The recordings are used to create a synthetic text-to-speech voice that can be installed on speech-generating devices. This study highlights a minimally researched, clinically relevant issue surrounding the development and evaluation of Singaporean-accented…

The introduction of Computational Chemistry via "Molecular Modelling and Drug Design" course at undergraduate level has opened wide possibilities for students to expand their knowledge of quantum chemistry, organic reaction mechanisms, protein-ligand interactions, drug design, and probable "in vivo" behavior of drug candidates.…

Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…

We developed a single crystal X-ray crystallography experiment based on the crystal structure of sucrose (table sugar), and a more challenging experiment using Epsom salt. Both crystals are readily available in X-ray quality crystalline form. In these experiments, students mounted a crystal on a MiTeGen loop and analyzed it using a Rigaku XtaLAB…

An ICP-MS simulation was developed to support the teaching of inductively coupled plasma-mass spectrometry. The app enables students to conduct the quantification of selenium in a nutritional supplement, monitor the uptake of metallodrugs by cells, and perform qualitative analysis of gunshot residue. The experiments teach a range of analytical…

Solution equilibria diagrams are excellent tools for understanding chemical speciation in multireaction chemical systems. They are usually plotted using software packages that efficiently perform advanced calculations, giving the possibility to graphically visualize thermodynamic and composition information. However, this approach frequently…

Digital learning programs are a promising tool to support teachers in providing students with strong early literacy instruction, but more research is needed to understand their effectiveness. Sound Town is a digital early literacy program that provides children in prekindergarten with instruction and practice in foundational literacy skills, using…

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

This study explores the role of the perceived image of accounting in determining key variables that influence high school accounting students' acceptance of using cloud accounting as a new technology. We adopted the technology acceptance model (TAM) as its theoretical framework. High school accounting students enrolled in the 'Kyoto Subaru High…

In this paper, we introduce novel instructional approaches to engage students in using modelling with data to motivate and teach differential equations. Specifically, we introduce a pedagogical framework that will execute instructional modules to teach different solution techniques for differential equations through repositories and notebook…

The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…