This paper presents a methodology for exploring the potential of artificial intelligence in supporting divergent thinking within academic arts education. Thirteen students from Rome Fine Arts Academy engaged with excerpts from Shakespeare's "Hamlet," using artificial intelligence (AI) tools such as Kobi, Chat GPT, and Midjourney to…

The problem addressed through this study was the absence of a critical examination of laboratory exercises used with first-year nonbiology majors and the deployment of virtual laboratories in the biology department at the project site university without critical analyses associated with the efficacy of virtual labs. Grounded in Mayer's cognitive…

This dissertation discovers a hybrid collaborative curation and creation exhibition project at the Florida State University's Museum of Fine Arts. This research serves as a tangible application to integrate the third place theory (Oldenburg, 1997) and constructivist museum practices (Hein, 1998) under the umbrella of participatory action research.…

Online learning, especially in higher education, has grown in recent years and the study of its didactic implications has also increased. Online experiences have been found to be as successful as face-to-face ones, but there is a concern about a lack of social interaction among students. This makes it necessary for teachers to plan collaborative…

This conceptual paper sets out the community-of-inquiry framework from a distributed perspective. It proposes that considering teaching presence, social presence and cognitive presence from a distributed perspective allows the broadening of the presences to consider the way in which participants, content and tools maintain and advance these…

Relative adiposity (%Fat) was measured using a smartphone-based application in a convenience sample of adults aged 20-52 years (n = 32, 68.7% female, 84.3% White/Caucasian, 26.7 ± 3.5 kg/m2) across different body positions (Anterior versus Posterior) on consecutive days (Day 1 versus Day 2). A reference photo was obtained from the posterior view…

Students with disabilities often face significant challenges in developing mathematical problem-solving skills, which are critical for academic success. Traditional problem-solving interventions have primarily focused on skill acquisition, leading to issues with knowledge application in real-world contexts. Enhanced Anchored Instruction (EAI)…

This study evaluates the impact of a computer-assisted language learning (CALL) tool for the acquisition of academic English and oral language skills in children learning English as a second language. Using a quasi-experimental design, we compare English proficiency scores for K-5 students who did or did not use the program during the 2020-21…

Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…

The integration of Artificial Intelligence (AI) in collaborative learning environments has transformed educational practices, yet little is known about preservice mathematics teachers' perceptions and engagement with such technology. This study aims to address this gap by exploring how pre-service teachers perceive and engage with AI-assisted…

Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…

Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…

The goal of knowledge tracing is to track the state of a student's knowledge as it evolves over time. This plays a fundamental role in understanding the learning process and is a key task in the development of an intelligent tutoring system. In this paper we propose a novel approach to knowledge tracing that combines techniques from matrix…

Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners' syntactical and grammatical learning. Visual attention, repetition, and prior knowledge are known as the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe…

Extracurricular reading is important for learning foreign languages. Text recommendation systems typically classify users and documents into levels, and then match users with documents at the same level. Although this approach can be effective, it has two significant shortcomings. First, the levels assume a standard order of language acquisition…