The dissertation consists of three studies that are the process of designing, developing, and evaluating generative-AI-powered story-authoring platforms for children. The first study focuses on the formative study on how stakeholders in education (i.e., teachers, parents, and students) perceive and leverage generative AI platforms (i.e., ChatGPT…

Academic writing courses are critical in higher education. However, they often rely on directive measures, or "shoves," that impose rigid guidelines, high-stakes assessments, and punitive consequences. These approaches, such as inflexible deadlines and harsh grading penalties, can increase student anxiety, disengagement, and surface…

The current study explored the neuroanatomical basis of creative personality using the voxel-based morphometric (VBM) approach. The sample comprised two groups -- Creative (CR) group (professional creative artists) and matched controls with no demonstrated artistic creativity (NC) with 20 participants in each group, in the age range of 20-40…

Intelligence has been extensively explored across various disciplines such as psychology, cognitive science, and neurology. Countless scholars have delved into understanding why certain individuals exhibit higher mental acuity and knowledge. Consequently, numerous studies aim to unveil the essence of intelligence and gauge human cognitive…

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…

This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…

Debates surrounding the use of data science in educational AI are frequently rather entrenched, revolving around commercial models and talk of teacher replacement. This article explores the potential for digital textual analysis within humanities and social science education, advocating for a sociologically-driven approach that complements, rather…

The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…

The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…

The inception of Super Smart Society 5.0 marks a pivotal epoch in which technological advancements such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain technology stand at the forefront of redefining the educational landscape. This article delves into the implications of this paradigm shift for higher education,…

While music education practice has moved towards greater diversity, the philosophy of music education remains rather Western-centric, with limited scholars drawing on philosophical resources beyond the West. This is problematic, as a truly inclusive approach to music education ought to embrace multiple philosophical voices. In this paper, we…

Empirical work exploring additional language (L+) learning emotions has both proliferated and expanded its focus over the past 15 years. The current article explores one possibility for responding to the challenge of capturing and describing emotions in order to furnish a more contextualized, multidimensional picture of emotions in L+ learning:…

Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…

This study aimed to assess the readiness of Jordanian science teachers for integrating Artificial Intelligence (AI) in science education, focusing on their perceptions, challenges, and training needs. A quantitative survey methodology was employed, using a 35-item questionnaire distributed to 136 science teachers in urban Jordan. The…

This study aimed to assess differences in emotion and elaboration quality between clinical and community child cohorts in both past reminiscing and future worry conversations. We analyzed 54 Australian parents (46 mothers, 8 fathers) and their 8- to 12-year-old children (M = 9.63, SD = 1.29; 28 boys, 26 girls) in reminiscing interactions. Dyads…