In teaching digital artmaking in a public high school, a regular challenge faced by students and teachers is overcoming the ways that the software and hardware systems in the lab often fail to accommodate the learning needs of all students. The perceived immutability and infallibility of digital systems and the resultant tendencies of self-blame…

This research examines small group collaboration on the Augmented Reality (AR) Sandbox, an interactive, real-time topographical simulator that provides a color layer of augmentation showing depths and height, contour lines, and hydrology vis-a-vis the terrain of sand in a box. Prior research has focused on AR Sandbox activity designs, outcome…

Computer-assisted analysis of students' written responses to questions is becoming a possibility due to developments in technology. This could make such constructed response questions more feasible for use in large classrooms where multiple choice assessments are often considered a more practical option. In this study, we use a previously…

Purpose: Although language sample analysis is widely recommended for assessing children's expressive language, few school-based speech-language pathologists routinely use it, citing a lack of time, resources, and training (Pavelko, Owens, Ireland, & Hahs-Vaughn, 2016). The purpose of this clinical tutorial is (a) to describe options for…

Recently, many studies have discussed the importance of meditation and artmaking in the art classroom (Ganley, 2017; Kohler, 2012; Patterson, 2015; Phillips, 2016; Rohloff, 2008). The practice of meditation and artmaking not only promotes the physical health of the body but also develops the inner attitude of self and identity. Often artmaking and…

Students acquire knowledge as they interact with a variety of learning materials, such as video lectures, problems, and discussions. Modeling student knowledge at each point during their learning period and understanding the contribution of each learning material to student knowledge are essential for detecting students' knowledge gaps and…

Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing.…

Q methodology provides a unique mixed-methods means of examining subjectivity through the use of an activity called a Q sort in which participants must sort a list of given items within a predetermined sorting form. Although Q methodology has a long history as a research tool, its use as an instructional tool has not been extensively explored.…

This study investigated the effectiveness of visual training or verbal training on how to use a text-picture processing strategy for learning from computer-based multimedia instructional material. Sixty-nine university students were randomly assigned to the verbal training group (students received text-based instruction for a text-picture…

Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…

This paper explores the pedagogical potential of Generative Artificial Intelligence (GenAI) in secondary education through a dialogic approach to teaching, learning and assessment. It presents an ongoing action research project in collaboration with a high school in Western Australia, involving four teachers to integrate GenAI in their classrooms.…

There has been a massive shift in teaching quantitative political research since the "Journal of Political Science Education" was launched in 2004. Smartphones were an anomaly, and it was uncommon to have laptops in the classroom. Statistical calculations were sometimes done by "statisticians", i.e., professional staff who did…

This study investigates the role of embodiment when learning a technical procedure in immersive virtual reality (VR) by introducing a framework based on immersion and interactivity. The goal is to determine how increasing the levels of immersion and interactivity affect learning experiences and outcomes. In a 2 × 2 factorial design, 177 high…

The present research analyses the impact that the time spent on the Internet by primary school (3rd and 6th grade) students may have on their academic progression in terms of test scores. In order to go beyond a correlational analysis, we have applied a time fixed-effects estimation using a recent longitudinal database of 15,974 students from the…

Students' attitudes towards Digital Game-Based Learning (DGBL) in developing countries such as Indonesia are rarely investigated despite the fact that digital games are being used in secondary education increasingly. This research aims to explore students' attitudes towards DGBL in chemistry. We used a quantitative study method using a…