Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory Learning Environments, students may not always learn effectively in these unstructured environments. Thus, providing adaptive support has great potential to help improve student learning with these rich activities. Providing adaptive support requires a…

Advances in three-dimensional (3D) printing allow for digital files to be turned into a "printed" physical product. For example, complex anatomical models derived from clinical or pre-clinical X-ray computed tomography (CT) data of patients or research specimens can be constructed using various printable materials. Although 3D printing…

This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…

The examinee-selected-item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set of items (e.g., choose one item to respond from a pair of items), always yields incomplete data (i.e., only the selected items are answered and the others have missing data) that are likely nonignorable. Therefore, using…

Ingested or penetrating foreign bodies are common in veterinary medicine. When they are radiolucent, these objects become a diagnostic challenge, but they can be investigated sonographically. However, successful object identification depends on the skill of the sonographer. Considering that these cases appear randomly during hospital routines, it…

Currently, educational games are designed with the educational content as the primary factor driving the design of the game. While this may seem to be the optimal approach, this design paradigm causes multiple issues. For one, the games themselves are often not engaging as game design principles were put aside in favor of increasing the…

It has been recognized that individuals with autism spectrum disorder (ASD) show discrepancies between their abstract capacities to solve social cognition dilemmas and their ability to spontaneously decipher live social interactions. In the last 15 years, different paradigms have been designed to investigate how individuals with ASD grasp…

This McCloy Lecture sheds light on the "hidden profession" of Physical Education Teacher Educators (PETEs) by sharing my perspectives on the challenges and opportunities faced by PETE scholars and teachers globally. I begin with an overview of my biography and how it has influenced my thinking about PETE. I present some scholarly…

Academic institutions and programs are increasingly using experiential learning and simulations with the observation that these pedagogical devices not only facilitate knowledge but they also provide an opportunity for skills and attitudinal development. The article seeks to determine the effect of experiential learning through simulations on…

This paper situates a critical review of studies that we have conducted within the broader research literature to analyze the affordances of integrating modeling within disciplinarily-integrated games from computational thinking and science as practice perspectives. Across the studies, the analyses pursue two themes: (a) the role of agent-based…

Virtual three-dimensional (3D) anatomical models have become popular in the education of students in graduate and undergraduate-level anatomy courses, including anatomy and physiology. There is a need for more research on the effectiveness of these models on student learning, especially in anatomy and physiology, and on the validation of the…

This study presents a computer simulation model of reading in Japanese syllabic kana and morphographic kanji. The model was based on the simulation model developed by Harm and Seidenberg for reading in English. The purpose of building the current model was to verify the validity of the hypothesis of granularity and transparency (HGT) postulated by…

Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…

We review the GIDNA and CDM packages in R for fitting cognitive diagnosis/diagnostic classification models. We first provide a summary of their core capabilities and then use both simulated and real data to compare their functionalities in practice. We found that the most relevant routines in the two packages appear to be more similar than…

Purpose: Repeated duration data are frequently used in behavioral studies. Classical linear or log-linear mixed models are often inadequate to analyze such data, because they usually consist of nonnegative and skew-distributed variables. Therefore, we recommend use of a statistical methodology specific to duration data. Method: We propose a…