This report profiles the trends and key technologies and practices shaping the future of cybersecurity and privacy, and envisions a number of scenarios for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape. These are, in many ways, tumultuous times. Global political…

Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…

The PrimaryAI project focuses on developing an upper elementary integrated curriculum that covers life science, artificial intelligence (AI), and computer science concepts. The PrimaryAI curriculum uses both problem-based learning (PBL) and game-based learning (GBL) to engage students and situates the curriculum in a real-world context. The…

The digitization of the higher education process in the COVID-19 pandemic (new normal) has created a new technological wave. The COVID-19 pandemic (new normal) presents a great opportunity for higher education institutions (HEIs) to be digital and technologically innovative in their teaching and learning process through digitization. The process…

Storylines exist about the types of learners who participate and excel in mathematics. To understand how AI chatbots participate in such storylines, we examined ChatGPT's feedback to different learners' mathematical writing in an exploratory study. Learners included academic labels, like gifted and special education, and race/ethnicity, like Black…

This book facilitates understanding of how artificial intelligence (AI) aids and integrates digital transformation (DT) in education institutions worldwide in various scenarios: learning environments (learning innovation, learning management systems, data and analytics), emerging education trends (business trends, strategic technologies),…

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…