Digital Commons Network^™

Developing Accessible Narrative-Based Stem Learning Software For K-6 Braille Display Users, Dylan Ravel, Daniel Tsivkovski, Brandon Foley, Maryam Etezad, Franceli Cibrian, Ariel Han, Rajeev Joshi

Student Scholar Symposium Abstracts and Posters

This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.

The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as interactive stories, students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and screen reader support.

The goal is to provide BVI …

Fall 2025 Student Scholar Symposium Abstract Volume, Chapman University Center For Undergraduate Excellence

Student Scholar Symposium Abstracts and Posters

No abstract provided.

Computational Molecular Docking Of Fluorinated Morphine Derivatives For Improved Pain Management, Mirabella Romano, Emily Chen

Student Scholar Symposium Abstracts and Posters

The opioid epidemic impacts 60 million people worldwide every year. Morphine, a commonly prescribed opioid, binds to the μ-opioid receptor (MOR) in the body via protonation of its tertiary amino group and the MOR. An unfortunate side effect of this binding process is its non-selectivity in both peripheral and central tissues. While activation within inflamed peripheral tissues results in pain relief, activation within central tissues results in the unwanted and addictive side effects of opioids. Because there is a discrepancy in pH between healthy (central) and inflamed (peripheral) tissue, selective binding within the inflamed tissues could provide pain relief without …

Understanding Daily Habits Affect On Mood: A Semester-Long Wellness Analysis, Alexis Caitlin Sweeney

Student Scholar Symposium Abstracts and Posters

This research aims to track and assess lifestyle and personal health behaviors over a semester in order to gain a better understanding of how daily routines impact overall well-being. Ten variables are being monitored, including weight, caffeine intake, sleep duration, napping, exercise frequency, homework hours, Instagram screen time, vitamin use, practicing miles, and mood evaluations on a 5-point scale. I intend to identify trends and relationships between these factors through consistent data collection throughout the semester, such as the effects of sleep and caffeine on mood, motivation, and productivity.

As a student-athlete and health science major, this initiative gives me …

Bridging Machine Learning And Islamic Scholarship: A Study In Hadith Translation And Similarity Analysis, Asiyah R. Speight

Student Scholar Symposium Abstracts and Posters

Translation of Islamic religious texts poses unique challenges requiring both linguistic and theological expertise. This study explores the application of neural machine translation (NMT) models to Arabic-English hadith translation while analyzing semantic similarity patterns across different human translations. Using the complete Sahih Bukhari corpus (7,550 hadiths) as the primary dataset, we adopt a dual approach combining transfer learning and comprehensive neural network analysis to demonstrate the critical impact of corpus size on model performance.

First, we fine-tune a pre-trained MarianMT Arabic-English translation model on the full Sahih Bukhari corpus, comparing models trained on 40 hadiths versus 7,550 hadiths. Performance is …

A Generative Ai Pipeline For Rare Road Scenario Augmentation From Existing Training Datasets, Debarghya Goswami

Electronic Theses and Dissertations 2020 - Present

Autonomous Vehicle (AV) systems have the potential to transform the transportation ecosystem significantly by improving safety and accessibility. One of the core components of any AV is a real-time object detection system. It helps an AV localize its position in the surrounding environment and perform tasks such as maneuver planning and obstacle detection. To make a deep-learning-based object detection system safe and robust, it must be trained on diverse and rare scenarios that can occur in road conditions. However, it is expensive and time consuming to manually create training datasets containing rare road objects or conditions. Synthetic training data can …

Pathways To Possibility: A Multilingual Perspective In Community Colleges, Alex Matson

Master's Projects and Capstones

Community Colleges (CCs) play a vital role within both their local communities and the broader American educational system. This study examines the role of the community college, with particular attention to its English Speakers of Other Languages (ESOL) programs, and the structural dynamics of public funding. Despite the recognized significance of community colleges, the allocation of public funding, distinctly for ESOL programs, continues to reflect structural imbalances. Although research demonstrates the significance of community colleges in widening learning opportunities for marginalized students, critical pedagogy reminds us that educational access remains structurally unequal.

Emerging research indicates that the transformation of placement …

Decoding The Chameleon Game, Tri Dang '25, Hieu Tran, Brian T. Howard, Sutthirut Charoenphon, Dat Nguyen '25

Student Research

The Chameleon game is a challenging word association activity where players are given a secret word and must respond with words relevant to that secret word. It requires strategic thinking and deduction. The Chameleon must cleverly guess the secret keyword in this game while avoiding suspicion. Our research aims to create an advanced artificial intelligence (AI) model that can play the Chameleon game from both perspectives: as the Chameleon and as a Human. This AI is designed to guess secret keywords based on the information provided by the players, choose the best strategies to avoid detection as the Chameleon, identify …

Experience From A Distance: Improving Transparency For The Multnomah Athletic Club, Matthew Penner

University Honors Theses

Portland is home to the largest and one of the most prestigious athletic clubs in the world: Multnomah Athletic Club. In many ways, it is the pinnacle of luxury and innovation, and over time, it finds any way to entice prospective members to pay the expensive upfront fee of $6000 and monthly membership fees exceeding $300. Due to the previous technological barrier, which was not being able to see the full extent of what amenities the club had to offer, the club faced major challenges in recruitment and marketing. Over two academic terms, a team of six computer science capstone …

Artificial Intelligence In Higher Education: Opportunities And Challenges, Maytha Al-Ali, Adam Marks, Jasur Umirzokov, Noura Metawa

Iraqi Journal for Computer Science and Mathematics

While AI is often presented as a panacea for the challenges facing higher education, there is limited empirical evidence supporting its effectiveness in improving student learning and institutional performance. This gap between expectation and reality emphasizes the need for rigorous research, realistic goal-setting, and careful planning to ensure that AI technologies deliver on their promises in higher education. This study contrasts the potential utilization of AI technologies in Higher Education from the literature, against actual utilization in universities. The study also investigates the key barriers of AI implementation in higher education. This study uses a mixed-research methods approach, including case …

Retracted: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Abdel Rahman A. Alkharabsheh, Lina M. Momani

Iraqi Journal for Computer Science and Mathematics

The Climate is becoming increasingly unpredictable, while the incidence of extreme weather is on the rise — both are contributing to surging global demand for advanced flood forecasting and monitoring services. This paper introduces an AI-powered Flood Monitoring and Warning System (FMWS) through an IoT sensor network, scalable real-time data analytics, and Machine Learning (ML) models to enhance the accuracy of prediction, risk analysis, and early warning dissemination in the notified areas. Hydrological and meteorological data would be collected by an ultrasonic sensor, a radar sensor, and a pressure sensor interfacing via GSM/GPRS, Wi-Fi, LoRa, or satellite network links. Machine …

Technology Use In Elementary Music Education: A Scoping Review, David T. Casali

Journal of the Association for Technology in Music Instruction

The purpose of this scoping review was to look at how music technology has been used in the elementary music classroom from 2020 to April 2025. Uses of technology were organized using the Substitution, Augmentation, Modification, and Redefinition (SAMR) model (Puentedura, 2006). Only articles that both described how technology was used and what the learning process looked like were included. A total of 26 articles met the criteria for inclusion. Multiple uses of technology across the four levels of the SAMR were represented from 14 different countries. An article from each of the four SAMR levels is described in depth …

Global-Local Method For Poroelasticity Problems With Localized Pressure Effects, Hemantha Kunwar

Math Department Colloquium Series

In many poroelasticity applications, pressure effects are confined to a small region, making it inefficient and possibly unnecessary to solve the full system across the entire domain. Instead, we propose to solve the poroelasticity problem locally, where pressure effects are significant, and use a simpler linear elasticity model elsewhere. This creates a coupled elasticity–poroelasticity problem with transmission conditions. To solve this coupled problem, we propose a new non-intrusive global–local algorithm that iteratively solves the elasticity problem in the entire (global) domain and the poroelasticity problem only in a local domain, ensuring proper transmission conditions across the interface. This approach, which …

Show, Don't Tell: Looking For New/Old Strategies For Assessing Design Work, Kristina Andersen, Joep Frens, Janet Yi-Ching Huang

IASDR Conference Series

Design education is centered on making and reflecting, as a way to `work through' the process of becoming a designer. To do this, we rely on project-based learning that often culminates in reports alongside demonstrations and show-and-tell. Over the years, we have seen an increased reliance on language to validate student design ideas, and written reflections have become a way of assessing learning. With Generative AI becoming more widespread, such deliverables risk becoming less reflective or even meaningless. At the same time, some of our students treat written reflections as a necessary evil to be done on the eve of …

Teaching Design In The 21st Century: New Studio Pedagogies For Emerging Challenges, Wonjoon Chung

IASDR Conference Series

The rapid integration of artificial intelligence (AI) and other advanced technologies is driving a new paradigm shift in design education, calling for a re-examination of traditional studio pedagogies. This paper argues that current design curricula, often constrained by rigid academic schedules and a focus on polished final deliverables, inadvertently foster a fear of failure and discourage the iterative, exploratory processes that are essential for creativity. To address these systemic issues, this paper proposes a pedagogical framework that reconceptualizes the design studio as a space for cultivating creative confidence, adaptability and resilience in the face of uncertainty. Drawing on Edward de …

Co-Creating Futures Of Communication: Three-Phase Speculative Co-Design With Adults Of The One-Child Generation, Ines Ziyou Yin, Xinjun Miao, Yirong Jiang, Yijun Yin, Kin Wai Michael Siu

IASDR Conference Series

Traditional linear models of human communication inadequately address emotional and social dynamics in everyday contexts. This study explores speculative futures of interpersonal communication through research through design (RtD) paradigm, integrating participatory co-creation, speculative design, role-playing, and Generative Artificial Intelligence (GenAI). Situated within the socio-cultural context of China’s one-child generation in the Greater Bay Area (GBA), the research transcends linear transmission metaphors in existing information communication technologies (ICTs) to address subtle interpersonal needs among friends. The study adopts a three-phase methodology, including a co-design workshop to generate speculative scenarios, designer-AI collaboration to refine scenarios, and a role- playing session to generate …

Gameful Experiences In Vr Game: Comparison Between Eye-Gazing And Controller Interaction, Gong Zhengya, Nurmela Petra, Colley Ashley, Georgiev Georgi V., Häkkilä Jonna

IASDR Conference Series

As virtual reality (VR) technology continues to advance, researchers are exploring new interaction methods to enrich players’ gameful experiences. While handheld controllers remain the standard input device, emerging alternatives, such as eye-gazing, offer novel and potentially more engaging ways to interact within VR environments. This study examines how different interaction methods—traditional handheld controllers versus eye-gazing—affect players’ experiences during gameplay. A VR game was developed to support both input methods, and 22 participants engaged with the game under both conditions. Their experiences were assessed across multiple dimensions, such as playfulness, immersion, and competition. The results revealed significant differences in two gameful …

Xrecycle: A Gamified Xr System For Enhancing Youth Engagement And Learning In Plastic Recycling, Yuhao Li, Mingming Wang, Hanzhe Bao, Yuhao He, Tiantian Lo, Henry Duh

IASDR Conference Series

This study proposes XRecycle, a physical-digital (phygital) gamified system that integrates extended reality (XR) technologies with game-based learning mechanisms to address challenges in engaging youth in plastic recycling within high-density cities like Hong Kong. The system merges tangible devices made from locally recycled plastics with immersive virtual environments, forming a multi- layered framework of main tasks, side quests, and reward feedback. A mixed-method study with 20 participants validated the system ’ s effectiveness in enhancing circular literacy and sustaining behavioral motivation. Quantitative results revealed significant improvements in knowledge retention and engagement. Qualitative feedback suggested that participants were particularly drawn to …

"The Limbs That I Built": Understanding In Co-Creation Human Augmentation Design And User-Driven Testing, Keren Zhang, Kin Wai Michael Siu, Yijia Jiang, Shiyu Liu, Huiyi Zhang

IASDR Conference Series

Current co-creation design research on human augmentation technologies focuses primarily on restoring functions for individuals with disabilities, overlooking the increasing potential demand for augmentation among ordinary users. To bridge this research gap, this study combined speculative design with user co-creation workshops to examine the practical implications and behavioural impacts of supernumerary robotic limbs (SRLs) on everyday users. Initial questionnaires and interviews (n=42) revealed considerable user interest, particularly regarding upper limb and back augmentations. Based on these insights, we collaboratively developed two prototypes: the 'Mirror Hand', which enhances grasp capabilities by mirroring finger movements, and the 'Third Akimbo', a robotic arm …

Who Designs, Who Teaches, Who Knows? Negotiating Co-Creation With Visually Impaired Children, Anqi Rong, Nina Hansopaheluwakan-Edward

IASDR Conference Series

This article examines how co-creation reshapes roles, power relations, and material practices in the design of tactile learning resources for visually impaired children (VIC). Drawing on Cultural-Historical Activity Theory (CHAT) and interviews, prototyping sessions, and observations in Chinese educational settings, the study highlights three under explored dimensions of co-creation: (1) the recalibration of power from hierarchical expertise to fluid, reciprocal collaboration, (2) the active agency of tactile materials as non-human co-authors, and (3) the cultural-technical hybridity that enables design innovations to scale within broader educational and policy landscapes. Contrary to top-down or purely technological approaches, findings reveal that effective co-creation …

Uncovering Usability Problems Of A Hospital Online Appointment Platform: Insights From Hierarchical Task Analysis And Cognitive Walkthrough, Yongsheng Tan, Yu-Hsiu Hung, Ching-Yi Yau

IASDR Conference Series

To date, online appointment platforms (OAPs) have achieved widespread adoption within healthcare systems. While they offer significant convenience, they also present considerable challenges during use, particularly for inexperienced novice users or individuals who did not grow up in the internet era. Therefore, identifying usability issues within these online systems and analyzing their attributes and potential impact is essential. This study employed the Hierarchical Task Analysis (HTA) and Cognitive Walk through (CW) evaluation methods to analyze usability problems in an OAP. First, HTA was utilized to decompose the OAP process into a series of executable tasks. Subsequently, CW was applied to …

Metacognitive Cycle Design Based On Aigc And Science Exploration Autonomous Games, Li Yi, Yanfei Xu

IASDR Conference Series

OBJECTIVE: This study aimed to explore the facilitating effect of AI-generated content (AIGC)–assisted science exploration autonomous games on children’s metacognitive development, to propose a metacognitive cycle design, and to verify its effectiveness through experimental methods. METHODS: The study was conducted with 60 five-year-old children in a public kindergarten in Hunan Province, China. The experimental group received a science exploration autonomous game with AIGC assistance and a metacognitive cycle design intervention, while the control group played regular autonomous games only. Quantitative and qualitative methods were used to measure and analyze changes in children’s metacognitive levels. RESULTS: The metacognitive ability of the …

Designing Led Expressions In An Interactive Ai Product, Jounghyuna Kim, Kwanmyung Kim

IASDR Conference Series

As AI is increasingly integrated into everyday products, LED expressions offer a compact and intuitive channel for communication. While LEDs are widely used as simple indicators, their expressive potential remains under explored in design research. This study aims to investigate how LEDs can be designed to convey various types of messages more expressively and communicatively. To this end, we adopted a three-step research process based on a design methodology: (1) design ideation workshop to collect possible messages and their corresponding expression, (2) creating LED expression GIF animations following the design guidelines, and (3) an online survey to evaluate the appropriateness …

Co-Designing Tools For Dialogic Learning: Insights From The "Datafy" Project, Yu-Yu Liu, Maja Dybboe, Johanne Birkkjær Bjerrum, Johannes Ellemose, Christian Dindler

IASDR Conference Series

This study presents a co-design process for developing tools that foster critical data literacy in K–12 education through dialogic learning opportunities. Adopting a research-through-design approach, we explore how teachers and interdisciplinary researchers can co-create con textually grounded, pedagogy- informed learning artefacts. In this paper, we document the co-design process, describe the resulting artefacts, and report classroom observations involving 40 students and two teachers using these tools in a primary school. Our findings highlight: (i) how artefact-enabled dialogic learning opportunities shaped children’s learning experiences and (ii) the process and outcomes of interdisciplinary co-design with teachers. Our results underscore the value of …

The Emergence Of Cultural Signals In Typographic Systems, César Arturo Puertas, Juan Alfonso De La Ros

IASDR Conference Series

This paper explores how through visual analysis of contemporary design of typographic systems in Colombia, it is possible to create a custom framework for clustering and analysis to help recognize the possible emergence of cultural signals of colonised communities and cultural groups. Based on that framework we described these signals in four categories: Abstracted indigenous heritage (cultural revival); hybrid graphic vernacular (vernacular typography); Indigenous linguistic forms (direct linguistic revival); and hybrid cultural abstraction (indirect linguistic revival). We argue that local/regional type design and typography are increasingly serving as a medium of cultural resistance (intentional or unintentional), where designers engage with …

Learning Robot Control Through Co-Drawing: An Augmented Reality-Based Interactive Robotic Training Platform For Building Foundational Knowledge In Industrial Robotics, Yi Zhao, Lynn Masuda, Zhongyi Liu, Dagmar Reinhardt, Lian Loke

IASDR Conference Series

As industrial robotics increasingly enters creative and design domains, there is a growing need for educational platforms that support training in industrial robot control, planning, and system configuration. Existing training systems often assume that learners have knowledge of code-based robotics programming, which limits accessibility to creative practitioners. This paper presents the Augmented Reality-based Interactive Robotic Training Platform (AR-IRTP), which reinterprets core industrial robotics concepts, such as tool selection, workspace setup and motion planning, through embodied AR interaction. The platform is based on the Robotic Induction course from the DMaF Robotic Lab and structured using the Human-Robot Leader-Follower (HRLF) model to …

Social Support-Informed Inclusive Design: Research On Assistive System Design For Individuals With Social Anxiety Disorder, Xuefei Lu, Ming Cao

IASDR Conference Series

This research presents an intelligent approach to designing an inclusive social assistance systemy. The study employs a combination of literature analysis, in-depth interviews, and quantitative surveys to explore user needs. First, the KANO model was used to identify three attributes—essential, expected, and delightful—which are mapped onto five dimensions of social support: contextual and subjective, emotional and cultural, tools, information, and evaluation support. Second, the Analytic Hierarchy Process (AHP) is used to quantify and rank these needs, thereby leading to the development of a social support system architecture informed by social support theory and generating design strategies. This study proposes a …

Speculating Hospital Discharging Experience With The Medical Professionals: Co-Design Using News And Aigc Stories, Chung-Ching Huang, Ya-Chun Yang, Xuan-Xuan Tao, Min-Yuan Ma, Tseng-Ping Chiu

IASDR Conference Series

This case study presents a speculative co-design approach in which healthcare professionals employ real news articles and AI-generated content (AIGC) as stimuli in a design thinking workshop to explore improvements in hospital discharge services for elderly patients. While most technological innovations and interactive experiences in healthcare adopt a patient-centered approach, this research shifts the focus to healthcare providers, drawing on their expertise to envision future discharge processes. Utilizing real-world news articles and scenarios generated by ChatGPT, participants engaged in collaborative design activities to examine how these resources could inform the development of discharge services. The findings demonstrate that the combination …

Clip The Form: A Human-Ai Interaction Framework For Retrieving 3d Structural Forms From Textual Prompts, Tsai-Chun Huang, Weiqi Gao

IASDR Conference Series

This study proposes a Human-AI interaction retrieval framework that combines natural language descriptions with 3D structural forms to retrieve the 3D fold forms as the example, due to its rich geometric and mathematical properties. We constructed a database covering a variety of 3D fold forms, with style tags and body/garment position tags to assist training. The framework adopts a contrastive learning strategy to process text input through the pre- trained CLIP (Contrastive Language-Image Pre-training) text encoder, and we present a geometric encoder to extract vertex information and point cloud data of 3D fold forms to obtain geometric feature embedding. Then …

Towards The Legibility Of Ai: Moving Beyond Ai Fiction, Franziska Pilling

IASDR Conference Series

For viewers, science fiction serves as a vital source of images and representations of science and technology. Films heavily influence our views on technology and have contributed to the confusion surrounding what AI technology signifies. This research also draws on science fiction and techno science in contemporary films, as cinema and television serve as practical litmus tests for social unease and yearnings. From alien invasions that paralleled Cold War paranoias of the 1950s to contemporary anxieties about creating artificial intelligence that renders humans redundant. This paper provides an ontological overview of AI technology, explores the challenges AI presents, and suggests …