InSITE 2025: Informing Science + IT Education Conferences: Hiroshima

Jul 20 - 28 2025, Hiroshima, Japan 

Proceedings

Online ISSN: 1535-0703

Michael Jones
Papers presented at the 2025 InSITE conference July 20-28 in Hiroshima, Japan.
Papers are listed in order of presentation, with a few exceptions.
informing science, InSITE, table of contents, IT education
.i - vi
Meg Coffin Murray
Aim/Purpose
To address the gap in students’ effective use of generative AI tools, this paper presents a framework to introduce university students to the principles and practices of prompt engineering – the art and science of crafting precise and purposeful inputs to guide LLMs in generating accurate and useful outputs. This paper aims to equip students with strategies to interact meaningfully w ...
Generative AI, prompt engineering, AI literacy, large language models, higher education
01
Irit Alony
Aim/Purpose
This paper showcases a blended subject of a postgraduate degree in an Australian university, where content delivery and assessment practices were combined to enhance student engagement, peer learning, and to assure authentic student assessment.

Background
As generative AI emerged around 2022, it forced a transformation of pedagogical practices in higher education, including asse ...
generative artificial intelligence, higher education, learning design, assessment design
02
Samuel Sambasivam
Aim/Purpose
To explore the potential of Federated Machine Learning (FML) in developing predictive models while ensuring data privacy and security.

Background
The rise of data-driven technologies has led to an increased focus on privacy concerns associated with centralized data storage. FML offers a decentralized approach, allowing organizations to collaboratively train models without sharin ...
Federated Machine Learning, Data Privacy, Centralized Machine Learning, Predictive Modeling, Security
03
Kolawole Ewedairo, Mathews Nkhoma
Aim/Purpose
The paper aims to identify opportunities within the Bachelor of Business (BBus) degree of RMIT for learners to gain sustainable and ethical knowledge.

Background
The paper explores how students are offered sustainable and ethical courses related to the BBus programme, particularly the courses in social impact. The paper seamlessly integrates the knowledge graph with the theory o ...
knowledge graph, social impact, theory of planned behaviour, sustainability
04
Charles D Mitchell, Samuel Sambasivam
Aim/Purpose
The proliferation of online banking has led to a significant increase in identity theft and cybercrimes, creating an urgent need to develop more effective predictive models to detect and prevent such fraudulent activities using advanced technological approaches.

Background
This study addresses the critical gap in the existing literature by exploring how historical identity theft v ...
historical financial transactions, big data, machine learning, fraud detection, identity theft
05
Joy Fluker, Meg Coffin Murray, Jayant Gupta
Aim/Purpose
This study explores how generative AI is being integrated into unified communications (UC) platforms, focusing specifically on Microsoft Copilot as implemented in Microsoft Teams. It explores how generative AI enhances UC functionalities, identifies key adoption challenges, and provides insights into implementation strategies. Unlike traditional technologies that followed a gradual ad ...
Generative AI, Unified Communications, Microsoft Copilot, AI Adoption
06
Yuwei Sun, Mathew Todres
Aim/Purpose
The purpose of this paper is to (1) examine if higher education institutions’ (HEIs) generative artificial intelligence (Gen AI) literacy policy will impact educators’ and students’ attitudes and actions in educational settings and (2) explore educators and students’ attitudes towards Gen AI and academic behavior with or without institutional support.

Background
Since OpenAI laun ...
generative AI (Gen AI); artificial intelligence; large language model; ethical consideration; higher education institutions (HEIs); education
07
Mathew Todres, Yuwei Sun
Aim/Purpose
The purpose of this paper is to review research on the efficacy of Gen AI (GAI) policy and frameworks in Higher Education (HE) teaching and assessment, and to extend our understanding about evidence-based policy and frameworks to understand how academics make sense of and apply GAI, in instances where institutional policy is lacking or lagging.

Background
While recent contributi ...
AI applications in education (AIEd), generative artificial intelligence (GAI), policy, frameworks, GenAI literacy, sensemaking, sensegiving
08
Sebastian M Hayes
Educating users on best practices in cybersecurity is critical, yet traditional training methods often fail to engage learners or build practical skills. This workshop presents an innovative approach: a series of interactive cybersecurity mini-games designed to take anywhere from 10 to 20 minutes per mini-game, teaching essential skills in user management, firewall configuration, network traffic a ...
cybersecurity, mini-games, scenario-based, hands-on
09
Benjamin Larson, Jeffrey A Bohler, Nandini Bolekar
Aim/Purpose:
As industry and higher education are moving to incorporate generative AI into courses and training there is a need to understand how varied the responses are to a series of prompts. This study's purpose was to evaluate the consistency of AI responses to prompts for teaching analytics using a single visualization across several sections of the same course over a week. The students ...
generative AI, business analytics, visualizations
10
Benjamin Larson, Jayla Clanton, Jeffrey A Bohler
Aim/Purpose
This research systematically examines published literature on soft skills development in information systems education, aiming to identify potential gaps in current research. The research examines the type of research (i.e., quantitative vs. qualitative studies), the scope of the research (i.e., whether it examined a curriculum or a specific course or topic), the instructional delive ...
soft skills, curriculum, information systems
11
Mali Senapathi
Aim/Purpose
Given the complex and ill-structured nature of modelling problems, database education can benefit from learning approaches such as inquiry-based learning (IBL), where students are encouraged to work collaboratively on modelling, design, and querying tasks. IBL can be embedded into teaching approaches such as pair programming, which is known for its many benefits, for example, improve ...
database education, paired assessment, paired learning, inquiry based learning, collaborative learning.
12
Maor Weinberger, Dan Bouhnik
Aim/Purpose: The research examines the main factors that motivate users to provide falsified details upon website registration and identifies the types of personal details that are most prone to falsification. In addition, the tendency for identity falsification is predicted by examining various factors, such as, sense of online anonymity, privacy concern, and socio-demographic factors. To provide ...
identity falsification, privacy concern, self-disclosure, online anonymity, trust, COVID-19
13
Singarila Somanje, John Mangundu
Aim/Purpose
This paper seeks to unearth the benefits of deep fake technology and its potential for application to pursue unethical intentions on social media, thereby negatively impacting individuals and society’s well-being.

Background
The research paper addresses the problem by exploring the ethical implications of deep fake technology and fake news on social media. Through the analysis of ...
social media, ethics, deep fake technology, fake news, artificial intelligence, deep learning
14
Imani Akin, Ramona Burress
Aim/Purpose
As a result of the pandemic many students now face significant challenges as they prepare for the next phase of their educational or career journeys. This research aims to explore the best practices for educational leaders worldwide to develop, implement, and sustain adaptive learning and engagement strategies that bridge the academic gaps created by the pandemic.

Background
Glo ...
adaptive learning, global resilience, high school, pandemic impact
15
Sonja H Bickford
Local issues are global issues. This collaboration between US and Finnish institutions aims to understand and share experiences and insights around global education opportunities for students in rural regions and to build program offerings with collaborative expertise in entrepreneurial sustainability.

Recent study abroad and international education experience surveys from students indicate th ...
global education, international, travel courses, collaborative, modernizing, entrepreneurship, sustain-ability, rural, arctic
16
Matasha MurrellJones, Imani Akin
Aim/Purpose
The purpose is to examine existing practices through an applied application lens as it relates to understanding theory and application in academic writing, and to identify best practices for developing academic skills to bridge the gap between theory and application in higher education. The problem is students struggle to produce work demonstrating critical thinking and analysis to a ...
student writing, information literacy, cognition, applied application, critical thinking, academic skills
17
Charmaine Barreto
Aim/Purpose
Artificial Intelligence (AI) has pervaded all walks of life and is touted as a panacea for many of life’s ills. Yet, few consumers of AI know what it entails or what its impact on society may be. The potential to use AI for good is vast, but the potential to misuse is not trivial.

Background
To mitigate the misuse of AI, it is imperative that consumers of AI fully grasp what it ...
AI literacy, Bloom’s taxonomy, artificial intelligence
18
Robert Winter, Tobias Hackl
Aim/Purpose
This paper explores how large incumbent organizations adopt the newly pro-posed data management approach “Data Mesh”. Particularly, this paper explores to which extent data ownership and data governance are shifting from a centralized to a decentralized approach and whether companies take different paths in this transition.

Background
Large incumbent organizations suffer from hi ...
data management, data mesh, data governance, data ownership, data architecture
19
Howard L Hall, Abigail Mesrenyame Dogbe, Hazem Said
Aim/Purpose
Open-source software has transformed how technology solutions are developed across both academia and industry, especially within the game development field.

Background
This study explores open-source tools used in creating digital games and examines the factors driving their evolution.

Methodology
A systematic literature review, following the methodology of Kitchenham and ...
game development, game development tools, open-source software, open-source methods
20
Krishnakumar Nair
Aim/Purpose
Globally, small businesses are experiencing alarmingly high failure rates. The Business Failure Modes and Effects Analysis (BFMEA) framework was developed as a proactive solution to address this challenge, specifically targeting small technology enterprises representing approximately one-third of the small enterprises sector. This research illustrates how targeted practitioner interve ...
business resilience, intervention, iteration, eADR, BFMEA, thematic analysis, academic-practitioner collaboration
21
Jeffery Chernosky
Aim/Purpose
This paper investigates the challenges Hispanic graduate students face in online education, focusing on disparities in satisfaction and academic outcomes. It aims to identify and implement culturally responsive teaching strategies and community-building practices that promote equity and success.

Background
The study addresses the problem by exploring how tailored, culturally gro ...
culturally responsive teaching, online education, Hispanic, graduate students, community, equity
22
Grace Diri, Philip Obiorah, Hongbo Du
Aim/Purpose
This paper presents a comparative analysis of sentiment classification models, focusing on the performance differences between lexicon-based sentiment analysis, traditional machine learning techniques, and transformer-based deep learning approaches across multiple benchmark datasets.

Background
While numerous methods exist for sentiment analysis, a systematic comparison across m ...
nature language processing, sentiment analysis, text classification, traditional machine learning, deep learning
23
TRI K LAM
Aim/Purpose
In a post-pandemic learning environment, artificial intelligence (AI) may become the new standard. More and more college students are utilizing AI tools like ChatGPT and Bard to enhance their learning. This study compares the use of web-search and AI-based systems to assess how much students' knowledge has improved in an Internet Marketing course.

Background
While authorship and ...
AI-based systems, web-search systems, learning motivation, learning interest, knowledge improvement
24
Reham Anjum, Norizah Mustamil, Tey Lian Seng
Aim/Purpose
To address the critical need for service innovation in Higher Education Institutions (HEIs), this paper extends the Conservation of Resources (COR) theory. As HEIs navigate increasingly complex environments, a shift away from traditional innovation models becomes imperative.

Background
We propose a new framework for service innovation performance in higher education. Traditional ...
service innovation, entrepreneurial orientation, PsyCap, higher education institutions
25
Amrita Kaur, Xiaojun GU, Youyou Ma, Siyu Liu
Aim/Purpose:
This study investigates the key factors contributing to parental anxiety across different child educational stages, from kindergarten to university, within the Chinese cultural context. It aims to understand how these factors evolve and shift over time and their relative importance at each stage.

Background:
Previous studies have demonstrated that anxiety is contagious, with a pa ...
parental anxiety, educational stages, Chinese context
26
Imani Akin, Matasha MurrellJones, Ramona Burress
Aim/Purpose
This study examines strategies to support the need to enhance computational thinking and professional performance across disciplines through the integration of writing across the curriculum (WAC) in graduate and doctoral programs.

Background
This study explores how combining rhetorical theory and computational thinking can improve students’ communication skills, critical thinkin ...
transdisciplinary collaboration, writing across curriculum, computational thinking, higher education writing, rhetorical theory
27
Joyce Vogel, Dan Bouhnik
Aim/Purpose
The Introduction to Computer Networking (ICN) course, which was once a course that was only included in computer networking programs, is now a critical component in most Computer Science and Software Engineering degrees. Given the widespread adaptation of the course, it is crucial to address its flaws, since these shortcomings result in high failure rates and inadequate understanding ...
top-down approach, wireshark, practical material, PBL
28
Nicole A. Buzzetto-Hollywood, Katherine A. Quinn
Aim/Purpose
Institutions with a commitment to diversity, equity, and inclusion (DEI) must evaluate their praxes for equity, recognizing that campuses must be inclusive communities that celebrate diversity. Further, teaching and learning experiences should provide mirrors, windows, and doors, have cultural validity, afford multiple mechanisms for student success, be centered around the assets of s ...
DEI, JEDI, diversity, equity and inclusion, culturally responsive teaching, CRT, HBCU, inclusion, intersectional theory, decolonization, inclusive education, critical pedagogy
29
Ilan Daniels Rahimi, Gila Cohen Zilka
Aim/Purpose
This mixed-methods study explores the relationships between the use of an AI-based application for second language learning in higher education and students’ Self-Efficacy, Fear of AI Challenges, Self-Image, and engagement-related indicators.

Background
Despite the growing presence of AI in education, its integration into second language instruction in academic settings is still ...
AI in language learning, second language instruction, higher education, self-efficacy, student engagement
30
Ruti Gafni, Itzhak aviv
Aim/Purpose
This paper investigates the impact of training on trust in AI-based cybersecurity solutions, addressing challenges related to skills development and trust dynamics.

Background
Implementing AI in cybersecurity has proven effective by enhancing threat identification, management, and prevention capabilities. Proper training and education facilitate comprehension of AI solutions and ...
AI-based cybersecurity, trust dynamics, training, skill development, perceived effectiveness.
31
Hananel Rosenberg, Menahem Blondheim, Chen Sabag-Ben Porat
Aim/Purpose
The purpose of this paper is to propose a new conceptual framework for defining Generation Z as “mobile natives”, highlighting early and embodied exposure to mobile technologies as the generation’s core socio-technological characteristic.

Background
Existing generational models often struggle to distinguish Generation Z from Generation Y in meaningful ways. While both are descri ...
Generation Z, mobile natives, socio-technological identity, digital natives, technological generations, cellular childhood
32
Anshuman Yashodhar Rangaraj, Theodore P Langdon, Hazem Said
Aim/Purpose
This study aims to identify the influential factors in the application of Applied Data Science in healthcare.

Background
The research examines the historical adoption and use of Applied Data Science in the healthcare industry, addressing the specific question: What are the factors that influence the use of Applied Data Science in healthcare throughout the history of information te ...
applied computing, life and medical sciences, health informatics
33
Maayan Nakash
Aim/Purpose
This study examines the impact of the COVID-19 pandemic on information management (IM) quality within organizations, focusing on factors such as organizational roles, seniority, gender, technological maturity, and employees’ perceptions. The research seeks to understand how these variable's interact to shape the dynamics of IM in information-intensive organizations during a global di ...
information management, information systems, information technology, COVID-19, human capital, crisis management, remote work
34
Ron Keinan, Efraim A Margalit, Dan Bouhnik
Aim/Purpose
This study examines how the COVID-19 pandemic influenced the use of health-centered Online Social Networks (OSNs), specifically analyzing user activity trends on Camoni, Israel’s leading health-centered OSN. The research addresses the growing role of OSNs in providing medical information and emotional support during public health crises.

Background
The COVID-19 pandemic signific ...
data mining, online social networks, mental health, digital health communities, COVID-19, public health crisis
35
Michael Callahan, Joseph Clauss, Emmy Voita, Christine Bakke
Aim/Purpose
With the technology of artificial intelligence (AI) improving every day it is important to find ways to harness AI in the software development life cycle (SDLC). This research demonstrates how AI tools were incorporated into an upper division Computer Science course to assist with development of various memory games.

Background
Since ChatGPT’s release in 2022, other companies ha ...
AI, artificial intelligence, ChatGPT, Claude, Github CoPilot, software development life cycle, SDLC
36
Meng Ye, Yuwei Sun, Zhenya Zhang
Aim/Purpose
This research aims to investigate whether value congruence and workplace innovation follow a curvilinear relationship rather than a linear one, and to determine if AI-assisted assessment systems can more accurately identify this optimal point than human evaluators.

Background
Traditional research on value congruence has predominantly assumed a linear relationship with positive w ...
value congruence, workplace innovation, artificial intelligence (AI), person-environment (PE) fit, curvilinear relationship, similarity-attraction hypothesis, longitudinal study, problematization methodology, organizational cli-mate, psychological safety
37
Nicole A. Buzzetto-Hollywood, Christina Junior
Aim/Purpose
Land and labor acknowledgements are part of a slow growing movement to address historic injustices and legacies of racialization and colonization.

Background
Land and labor acknowledgements are important because they serve as a way to recognize and honor the historical presence and contributions of Indigenous peoples on the land, as well as the exploited labor of marginalized co ...
land acknowledgement, labor acknowledgement, DEI, decolonization, jus-tice in higher education, addressing historic injustices
38
Mayra E Santiago, Dwi P Sari, Dimaz C Ardhi, Carol A Germain
Aim/Purpose
Access to technology is critical for college students, especially those from marginalized groups (O'Sullivan & Forgette, 2024). This study aims to identify gaps in technological capital that expose inequities in the use and com-prehension of technology and to assess their impact on measurable college persistence among historically underrepresented, economically disadvantaged, and fir ...
historically underrepresented students, economically disadvantaged students, first-generation students, information technology, college transition
39
Azad Ali, Shardul Pandya, Umesh Varma
Aim/Purpose
To develop a framework aimed at effectively including data visualization in writing doctoral dissertation documents. Typical doctoral dissertation documents are divided into chapters and sections. Suggestions for the sections that are deemed more helpful to include visualized data are provided in this paper. The suggestions are going to be provided in a framework presentation.

Ba ...
data visualization, data visualization and doctoral dissertation, visual literacy and doctoral dissertation
40
Angela Rena Wells, Leonard KURURAGIREH Bakahika, Reuben Muhindo, Steven Tsongo, Justus Ahimbisibwe, Zacchaeus O Oluwole, Philip A. Adewuyi
Aim/Purpose
To provide a solution to lack of proper diabetes management amongst the Ugandan populace who fail to take their medications as and when due and lack access to proper blood sugar status information.
Background This paper provides a smart medication reminder and glucose tracking application for diabetes patient in Uganda.

Methodology
The application incorporates reminders for med ...
diabetes, smart medication, glucose level, health app, patient empowerment, public health
41
Sung J Shim
Aim/Purpose
This study investigates the reliability of peer assessments for information systems (IS) case study presentations and examines differences between American and Chinese graduate students in evaluating such presentations.

Background
Peer assessments provide diverse perspectives in evaluating student work, but cultural differences may influence assessment patterns. This study explore ...
peer assessment, information systems (IS) education, cultural differences, real-world cases
42
Hansinie M Jayathilake, Amir Reza Asadi, Taiwo Peter Akinremi, Joel K Appiah, Opetunde O Ibitoye, Hazem Said
Aim/Purpose
This study investigates how technology-driven nudging can enhance decision-making quality and consistency in the U.S. criminal justice system, addressing declining public trust.

Background
In today’s digital age, Information Technology (IT) plays a crucial role in improving decision-making in the criminal justice system, especially in the United States. Despite the technological a ...
technology-driven nudging; grounded theory; decision-making; information technology, criminal justice; qualitative research
43
Golan Carmi
Aim/Purpose
This study explores postgraduate business administration students’ learning attitudes and perceived effectiveness when using podcasts as an e-Learning tool. It also investigates the flexibility afforded by this asynchronous learning approach.

Background
Two types of podcasts for two different pedagogical purposes were examined in the study, one as a team midterm assignment, ...
podcast technology, e-Learning, students’ attitudes, learning effective-ness, prior experience
44

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