The purpose with this mixed-methods research was to examine students' success in using artificial intelligence. The research sample consisted of 50 first-grade primary school students, 239 parents, and 25 primary school teachers studying in Almaty, Kazakhstan. A descriptive analysis technique was used to analyse the qualitative data. Findings are…

Artificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case study approach complemented by a survey, delving into ChatGPT's impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate and…

Educators throughout the world are deeply concerned about what ChatGPT means for education. I argue that Christian educators must avoid extreme reactions and fulfill three key roles to remain focused on students' holistic formation: (1) casting a moral vision of truthfulness; (2) evaluating curricula, syllabi, and formal assessments while also…

This dissertation comprises three cross-disciplinary essays on information systems, marketing, and financial outcomes research for nonprofit service organizations. In our first essay, we explore service quality impacts on the constructs of positive and negative word of mouth, developing and validating a new measurement scale, testing it…

Although research has suggested that emotional intelligence (EI) is an important factor in career and life success, teacher preparation programs often fail to include topics for developing EI. The college of education that participated in this study sought to explore EI development in its teacher preparation program. This multimodal descriptive…

The objective of this study was to determine the differential effects of the presentation position of the augmented reality--head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected…

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…

Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…

The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of…

Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…

Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…

This study employed a descriptive survey to investigate librarians' perspectives on data privacy and ethical use of public AI chatbots by patrons. The survey of 34 librarians at private university libraries in Nigeria revealed general awareness of applicable laws and privacy risks, but gaps in specific regulatory knowledge like the GDPR. Ethical…

Multimodal Learning Analytics (MMLA) has emerged as a powerful approach within the computer-supported collaborative learning community, offering nuanced insights into learning processes through diverse data sources. Despite its potential, the prevalent reliance on traditional instruments such as tripod-mounted digital cameras for video capture…

Peer tutoring can improve learning by prompting learners to reflect. To assess whether peer interactions are conducive to learning and provide peer tutoring support accordingly, what tutorial dialog types relate to student learning most? Advancements in collaborative learning analytics allow for merging machine learning-based dialog act…

In adults with autism spectrum disorder, co-occurring psychiatric conditions are prevalent, and depression is one of the most common co-occurring disorders. This study examined the relationship between depression and cognitive ability, autism symptom severity, and self-reported social impairments in autism spectrum disorder. A total of 33 adults…