Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

Imagine not only helping kids reach their potential academically, but as citizens in society as well. In this updated edition of Jorge Valenzuela's book, you will learn how! Take project-based learning (PBL)--in which students develop educational skills like research, critical thinking, and teamwork--to the next level by enhancing it with personal…

Purpose: At this juncture, one needs to analyze the problem statement and the purpose of this article. It is an undeniable fact that the schools are no longer classroom-oriented teaching but demands a higher level of teaching that will help students enhance their maximum potential. Having instructional based knowledge, knowledge of policies both…

Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…

This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…

The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…

This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…

In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…

Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Methods: This systematic review examines the…

The rapid development of higher education in China has significantly advanced physical education within universities, contributing to students' comprehensive development and national health improvement. However, the expansion of university enrollment has introduced challenges such as a decrease in per capita sports resources and declines in…

The increasing usage of social media has sparked interest in identifying characteristics that contribute to problematic social media use (PSMU). Using the Interaction Person-Affect-Cognition-Execution (I-PACE) model, the current study analyzes whether fear of missing out (FoMO) and dissociative experiences affect the link between trait emotional…

This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…

Background: Integrating artificial intelligence (AI) into psychological education represents an opportunity in teaching methodologies, offering possibilities for instructors. Despite its potential, there is a significant gap in knowledge regarding how psychology instructors implement AI tools in their teaching practices. Objective: The primary…

Background: Artificial intelligence (AI) applications have recently become more powerful and accessible. There has been much discussion about the potential impacts of AI on learning and sample applications. Yet, little research exists on how and to what extent AI is being used in educational contexts. Objective: The purpose of this study was to…

Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem-solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters of…