Table of Contents for IISIT Volume 23, 2026

Aim/Purpose This study investigates whether federated machine learning (FML) can match or exceed centralized machine learning (CML) performance for financial fraud detection while maintaining complete data privacy. Background Financial fraud detection systems traditionally rely on CML, which aggregates sensitive transaction data from multiple institutions, raising privacy concerns and regulator ...

Aim/Purpose This study analyzes how patterns of bias differentiate responses across multiple generative AI platforms and examines why certain systems converge or diverge in reasoning when presented with identical policy-related prompts. Background A cross-platform policy audit using 26 structured prompts was conducted to identify where generative AI systems converge or diverge in reasoning. ...

Aim/Purpose Generative artificial intelligence (GAI) tools based on Large Language Models (LLMs) are increasingly used to enrich knowledge, support decision-making, and generate new content. However, as beneficial as these tools may be, they also store vast amounts of information, which might jeopardize users’ privacy and data protection. Thus, users who wish to maximize the benefits of GAI tool ...

Aim/Purpose This paper presents the findings of a study that explores whether growth mindset, self-efficacy, and goal-setting skills impact student performance and/or are interrelated. It also examined students’ perceptions of the efficacy of a mindset intervention program at a minority-serving institution. Background A mindset intervention was custom-created at a United States Historically ...

Aim/Purpose This paper develops a comprehensive framework for understanding metaverse adoption across three levels: individual users, businesses, and countries. Background The metaverse is a complex sociotechnical system, yet current research often views it through isolated micro or macro lenses. There is a need for an integrated model that bridges the gap between user experience, organizat ...

Aim/Purpose The purpose of this study is to address the gap in methodologies, data sources, and validation frameworks for interactive persona systems as they evolve from static design artifacts to AI-driven simulators. Background Research on personas has traditionally focused on their use as static tools for communicating user requirements to designers. However, the evolution of Artificial I ...

Aim/Purpose To help enable educators to use technology to improve durable skills. We develop a certificate that uses virtual reality and artificial intelligence, designed to improve durable skills in public speaking and interpersonal communication. Background Recent surveys of employers indicate that graduates lack durable skills. They report that graduates have difficulty communicating wit ...

Aim/Purpose This study examines faculty and administrator perceptions and attitudes toward cloud technology adoption in higher education, emphasizing institutional readiness for AI-enabled teaching and learning. Background While digital transformation drives institutional innovation, cloud-based systems present opportunities and challenges for instructional practices, pedagogy, and governan ...

Aim/Purpose The purpose of this study is to develop tactics for leveraging artificial intelligence (AI) in the writing of doctoral dissertations. These recommendations address the current lack of instructional materials that guide students in effectively and ethically integrating AI into this specific academic task. The paper outlines the challenges students face during the dissertation writing ...

Aim/Purpose This study aims to evaluate the effect of digital health technologies on women’s health for early diagnosis and intervention in underserved countries. To understand how these technologies can improve access to healthcare, pro-mote preventive care and personalized health monitoring, reduce healthcare disparities, empower women, and support gender equality by facilitating health educat ...