This case study examines the development of a proof-of-concept (PoC) generative artificial intelligence (genAI) model inspired by OpenAI's ChatGPT®, implemented within the Office of Research Administration (ORA) at Emory University. Generative artificial intelligence (genAI) refers to AI models capable of producing human-like text. Specifically,…

Understanding and accepting that many students feel alienated from the subject of mathematics supports the use of specialized approaches. This article details how one specific mathematical modeling task integrated principles of Universal Design for Learning (UDL) to create an environment where even reluctant students felt like they belonged. The…

Purpose: This study introduces the personal health threshold model, a new conceptual framework that explains how individuals categorize health behaviors. The model aims to elucidate the psychological mechanisms underlying selective adherence to health behaviors and inform more effective health education approaches. Design/methodology/approach: The…

In this article, I argue that a process approach which enables students to draft, discuss and revise then share and celebrate each other's compositions can support their writing development more effectively than the current near-exclusive use by English teachers in UK schools and colleges of the form of text modelling that requires students to…

Institutions of higher education are facing a historically challenging time as student graduation and retention rates continue to be less than ideal, especially since the start of the COVID-19 pandemic. This is a critical time of transition for the competitive structure of higher learning, as finances, technology, student success, and…

Understanding how non-numerical visual features systematically distort numerosity perception holds promise for unveiling the processes that give rise to our visual number sense. Recent studies show that increasing visual coherence systematically increases perceived numerosity, with this effect strengthening over development (DeWind et al., 2020;…

Qualitative research on creativity often highlights the role of accidents in creative process, but there is little research that takes these as its main topic. Perhaps because a model that relies on accidents undermines the meaningfulness of creativity; perhaps because the phenomenon itself is too complex to underwrite an entire research program.…

The development of technology-based learning cannot replace the teacher's role as an educator, but the teacher who does not want to learn technology, the teacher will be replaced. During the COVID-19 pandemic and the digital era of technology, it provides opportunities for teachers to develop creative ideas in the use of online learning media.…

Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…

Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a…

Few empirical studies in Science Education have investigated the contributions of integrating scientific practices such as argumentation and modelling. In this article, I examine the characteristics of high school students' argumentative dialogues in different modelling situations. From this, I discuss the influences of modelling and the nature of…

Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…

It is common for social scientists to use formal quantitative methods to compare ecological units such as towns, schools, or nations. In many cases, the size of these units in terms of the number of individuals subsumed in each differs substantially. When the variables in question are counts, there is generally some attempt to neutralize…

The higher the level of development of higher education, the larger its contribution to socioeconomic development. In order to predict the trend of higher education development in a country more accurately, a new methodology is employed in this study. A weakening buffer operator-based GM (1, 1) model is constructed using Kazakhstan's gross…

In the present study, we used a modeling approach for measuring task conflict in task switching, assessing the probability of selecting the correct task via multinomial processing tree (MPT) modeling. With this method, task conflict and response conflict can be independently assessed as the probability of selecting the correct task and the…