Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatchers have a direct impact on response times and the overall effectiveness of emergency operations. However, traditional dispatcher training methods, which rely on…

This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

The observations in this paper follow online focus group research involving mothers who play video games as a leisure pursuit. The study utilised an online focus group method within a custom online forum which split the forum into small virtual rooms, replicating small face-to-face focus groups in an online environment. The primary objective of…

Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…

Many undergraduate and graduate courses have been recently converted to fully remote offerings due to the COVID-19 pandemic. Even within the remote structure, courses vary in their frequency of synchronous and asynchronous meetings. Fostering collaboration through students' idea-sharing and supporting their learning is especially challenging in…

Two of the central issues in comparative judgement (CJ), which are perhaps underexplored compared to questions of the method's reliability and technical quality, are "what processes do judges use to make their decisions" and "what features do they focus on when making their decisions?" This article discusses both, in the…

Teachers often rely on the use of a range of open-ended problems to assess students' understanding of mathematical concepts. Beyond traditional conceptions of student open-ended work, commonly in the form of textual short-answer or essay responses, the use of figures, tables, number lines, graphs, and pictographs are other examples of open-ended…

Artificial intelligence (AI) has become more prevalent in education in recent years. Specifically, the perception of generative AI chatbots that generate essays based on the input of student prompts has invoked mixed reviews among educators. The negative learning implications of generative AI chatbots include plagiarism, academic dishonesty, and…

When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…

Following the emergence of chatbots, especially ChatGPT, researchers have begun to examine their capabilities, credibility, and reliability in educational context. In this study, ChatGPT and Google Gemini are used as technological tools to create 7th-grade lesson plans for mathematics, science, literature, and social studies classes. Using…

Number sense is the basis of arithmetic and algebra, but counting dominates instruction, and fine-grained explorations of what children "do" as they develop number sense are relatively rare. Conceptually congruent actions that align with the mathematics support learning, and multitouch technology can afford using these actions while…

Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…

Dialogue systems, commonly called as Chatbots, have gained escalating popularity in recent times due to their wide-spread applications in carrying out chit-chat conversations with users and accomplishing tasks as personal assistants. These systems are typically trained from manually-labeled data and/or written with handcrafted rules and often, use…

Signaled active avoidance (SigAA) is the key experimental procedure for studying the acquisition of instrumental responses toward conditioned threat cues. Traditional analytic approaches (e.g., general linear model) often obfuscate important individual differences, although individual differences in learned responses characterize both animal and…