Artificial Intelligence (AI) is reshaping all sectors of society, including libraries. AI adoption in libraries has been gradual due to concerns and challenges, including ethical issues, maturity of the technology, insufficient AI education and training designed for library and information professionals, and gaps in AI education in library and…

Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…

The purpose of this study is multifold: First, to develop an educational program using artificial intelligence (AI) in middle school free semester system of South Korea. Second, to verify the program's effectiveness, the study clarified the definition of AI and AI education and considered their meaning in technology education. This study used…

This research formulates and tests an AI-integrated e-book to increase English for Specific Purposes (ESP) learning by health science students in order to enhance speaking performance. Conventional ESP materials in health sciences are typically static and non-interactive, limiting opportunities for real-time communicative practice. Using a…

Introducing high school students to primary scientific literature in an accessible format fosters early scientific literacy and critical thinking. The AI-guided Scientist-mentored Primary Literature Adaptation for STEMM Education (ASPIRATION) program was developed to teach these skills through the creation of infographics. Over eight weeks,…

Educators are at the forefront of shaping the future of education, particularly as technological advances introduce new tools and methods. Generative AI is a powerful tool capable of producing high-quality content based on properly constructed user prompts. While these advancements present significant opportunities, they also pose challenges. This…

This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…

This reflective inquiry reports on the experiences of a working group at Arizona State University (ASU) that, over the course of four months, built, integrated, and iterated artificial intelligence (AI) solutions into their daily work as research administrators. During this process, the group focused on creating AI solutions for the complex,…

Built for More, The Role of OST in Preparing Youth for the Future of Work will highlight OST research and illustrative practices and bring forward multi-disciplinary perspectives about future trends, innovations, and the impact of OST on the future workforce. The focus is on OST programs as well as related activities that contribute to…

Background: For students, digital literacy is an essential competency, and technology-supported learning has become one of the most crucial methods for developing students' digital literacy. However, no academic consensus exists regarding whether technology-supported learning is effective in improving students' digital literacy. Objectives: This…

Assessment is a significant part of an education system that evaluates students' learning. Assessment tools have been a topic of interest for educationists and academicians since the beginning of the education system, and it is still advancing every day. Therefore, this research explored the perceived effectiveness of assessment tools currently…

This dissertation explores the development and implementation of a community-based educational program, iDREAM, aimed at teaching minoritized youth about Artificial Intelligence (AI) with an emphasis on ethics and social justice. Partnering with two NGOs, this study integrates Culturally Sustaining Pedagogy (CSP) and Critical Computational…

As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…

Chronic absenteeism is a critical issue that has been linked to many adverse student outcomes. The current study focuses on improving a key system already in place in many school districts--early warning systems (EWSs)--in order to decrease chronic absenteeism in students' earliest schooling years. Using a demographically diverse population of…

The rapid emergence of generative artificial intelligence (GenAI) tools has underscored the urgent need for pre-service teachers to develop technological pedagogical content knowledge (TPACK) and self-regulated learning (SRL) strategies -- both critical for integrating AI into classrooms. However, existing teacher education programmes lack…