Digital Commons Network^™

A Collaborative Autoethnography Of Southeast Asian American Women Doctoral Students Navigating Tensions And Building Resolve In The Academy, Jacqueline Mac, Varaxy Yi, Vanessa Na, Latana Thaviseth

Journal of Southeast Asian American Education and Advancement

This critical race collaborative autoethnography explores the experiences of Southeast Asian American (SEAA) women in doctoral programs in higher education. Using a feminist refugee Asian critical approach, findings illuminate tensions that SEAA women encountered during their educational experiences and how these women built resolve. Findings include being seen amidst the invisibilization of SEAA identities, an insistence on the value of their SEAA research agendas, and navigating the unsettled emotions during academic displacement.

Creating Business Teaching Cases With Deep Research Ai: The Lov Ai Co-Creation Approach, David Grundy

International Journal of Teaching and Learning in Higher Education

This paper examines the use of generative artificial intelligence in the development of teaching cases for MBA programs. The study introduces the Lecturer Oversight and Verification of AI (LOV AI) Co-Creation Approach, which integrates the ChatGPT 5.2 Thinking Deep Research model with structured subject expert supervision to produce teaching extended case studies and related teaching materials. The model is implemented through a multi-step process. First, specific prompts are used to identify and select potential case topics that align with required syllabus objectives. Next, the AI model generates extensive drafts that include narratives, background information, and supporting data for each case. …

Contextualizing Second Language Anxiety In Multilingual Higher Education: Classroom Conditions And Clinical Settings, Busayo O. Ige

International Journal of Teaching and Learning in Higher Education

In South African universities, multilingual students whose first language is not English face distinct challenges that impact academic participation and success. This qualitative study examines how second language (L2) anxiety shapes first-year students’ classroom and clinical experiences at the University of Cape Town. Drawing on open-ended survey data, the study reveals that fear of negative evaluation, communicative apprehension, and prevailing language ideologies contribute to students’ reluctance to speak, feelings of invisibility, and withdrawal from engagement. Although anxiety tends to lessen over time, it rarely disappears completely. Notably, students experienced anxiety differently across settings: classroom discussions elicited greater fear and self-censorship, …

Instruction Guide, Mark C. Hall

Analytical Biochemistry: A Practical Handbook for Undergraduates

The instruction guide provides useful information for setting up and running the lab activities each week and assessing student preparation, performance, and comprehension.

A Generalized Real-Time Geometric Virtualization Of Material Removal Processes For A Factory Digital Twin Platform, Jongwoo Han, Chang Hyeon Mun, Martin Byung-Guk Jun, Hyung Wook Park

MMRL-XMO Industrial Seminar

As the transition toward autonomous smart factories and Cyber-Physical Production Systems (CPPS) accelerates, real-time digital twin implementation of manufacturing processes has emerged as a critical enabling technology. However, existing virtualization approaches present fundamental limitations: mesh-based Boolean methods are computationally infeasible for real-time processing due to their CPU-bound operations, while pure voxel-based methods suffer from staircase artifacts at geometric boundaries and exhibit exponentially increasing computational demands as resolution improves. To overcome these limitations, this paper proposes a GPU-accelerated real-time geometric virtualization method combining Signed Distance Field (SDF) with the Marching Cubes algorithm. The proposed method executes massively parallel SDF subtractive operations …

An Automated Construction Framework For Immersive Digital Twins With Ground-Based Cad Pose Estimation, Huichan Park, Yuseop Sim, Byoungkwon Yoon, Asif Tanveer, Martin Byung-Guk Jun, Sang Won Lee

MMRL-XMO Industrial Seminar

This paper presents an automated workflow for constructing an immersive digital twin by combining multimodal field sensing, ground-based CAD-to-point-cloud registration, and physics engine-based scene generation. To reduce human intervention during digital twin construction, the proposed pipeline estimates machine poses by registering CAD-derived point clouds to a colorized point cloud map. Instead of relying on unconstrained six-degree-of-freedom point cloud registration algorithms, such as Iterative Closest Point (ICP) or TEASER++, the proposed method detects the ground plane, reduces the search space to planar translation and yaw, and applies coarse-to-fine slicing followed by 3-DoF planar ICP refinement. The method was evaluated using two …

Real-Time Two-Stage Machine Sound Monitoring For Wire-Edm State Recognition, Yuseop Sim, Yonghyun Lee, Edgar James Yother, Duju Lee, Hojun Lee, Byoungkwon Yoon, Asif Tanveer, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

Operational state monitoring is critical for assessing machine utilization and reducing downtime in smart manufacturing. However, many Wire Electrical Discharge Machining (Wire EDM) systems remain legacy machines with limited access to controller-level data, making non-invasive sensing approaches necessary. This study proposes a lightweight two-stage sound-based operational state monitoring framework using an Internal Sound Sensor (ISS) and a 1D convolutional neural network (CNN). The ISS, built around a stethoscope-inspired bell structure, captures machine-specific acoustic signatures while suppressing ambient machine-shop noise and spark-related acoustic interference. The proposed framework classifies machine states in two stages: Stage 1 identifies coarse states such as beep, …

Multi-Scale In-Situ Powder Stream Characterization For Laser Directed Energy Deposition, Guang Yang, Clara Mock, Salil Bapat, Ajay Malshe

MMRL-XMO Industrial Seminar

Powder stream quality in laser directed energy deposition (L-DED) is a critical determinant of deposition consistency and final part quality, yet it remains largely uncharacterized in real-time during operation. This paper presents a dual-scale, vision-based in-situ characterization framework that addresses powder stream monitoring at two complementary levels: macro-scale flow quality assessment for real-time process monitoring and micro-scale particle tracking for digital twin data acquisition. Both scales are implemented on a single high-speed camera reconfigured between two resolution and frame-rate settings, eliminating the need for dedicated multi-camera infrastructure. At the macro scale, an OpenCV-based image processing pipeline operating at 1280 × …

A Semantic Evaluation Approach For Improving The Reliability Of Llm Outputs In Manufacturing, Dongjun Yun, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

Large Language Models (LLMs) have recently shown strong performance across various domains, including manufacturing, where they are increasingly used with multi-agent systems for semi-autonomous tasks such as real-time machine monitoring and operator support. However, their reliability remains a concern due to hallucination, where outputs may appear plausible but contain incorrect or inconsistent information. To address this issue, this study proposes a semantic evaluation methodology for assessing the reliability of LLM-generated content in machining  environments. The approach is based on the embedding model BGE-M3 and focuses on capturing semantic consistency between machine observations and LLM-generated operational recommendations by comparing them against …

A Practical Digital Twin Framework For Safe Human-Robot Collaboration In Resilient In-House Manufacturing, Harshkumar K. Parmar, Shivakumar Raman

MMRL-XMO Industrial Seminar

Recent supply-chain disruptions and growing interest in domestic production have renewed attention to in-house manufacturing systems that are flexible, practical, and easier to deploy. Human-robot collaboration (HRC) is a promising option in such settings because it combines human adaptability and judgment with robotic precision and repeatability [1], [2]. Still, broader use of HRC in smaller or resource-constrained manufacturing environments is often limited by safety concerns, coordination challenges, and the cost and complexity of implementation. This paper presents a practical digital twin framework for safe human-robot collaboration in resilient in-house manufacturing. The contribution of the paper is not a generic three-layer …

Experimental Methods For Characterizing Interfaces In Multi-Material Adhesive Joints, Kevin L. Cloherty, Drupad Kadiyala Bhavani, Dante P. Stigliano, Alexander H. Krueger, Christopher J. Hansen, Amy M. Peterson, Alireza V. Amirkhizi

MMRL-XMO Industrial Seminar

Multi-material systems bonded with adhesives are increasingly used in engineering due to their design flexibility and performance. To fully optimize these systems, it is essential to characterize their interfacial properties accurately. However, standardized methods to characterize interfacial properties under pure stress states, especially in dissimilar material joints, are limited. This study presents a framework using modified poker-chip and hat-shaped specimens to promote dominant normal and shear adhesion behavior in polymer-ceramic systems. Custom fixtures were designed to reduce material use and maintain uniform adhesive thickness during sample preparation. Preliminary results demonstrate dominant mode-specific interfacial properties for various multi-material and adhesive configurations. …

Robust And Accurate Pose Estimation For In-Space Robotic Manufacturing Under Challenging Lighting Conditions, Abhay Negi, Rudranarayan Mukherjee, Satyandra K. Gupta

MMRL-XMO Industrial Seminar

Visual 6D object pose estimation is a critical capability in modern robotics and computer vision. This is most commonly achieved by exploiting an object's identifiable features and known geometry. While classical computer vision algorithms  perform reliably under controlled conditions, they are sensitive to common real-world degradations such as occlusion and adverse illumination. This paper presents a framework for robust and accurate pose estimation that combines deep learning and classical algorithms. Our approach features a U-Net-based segmentation model and a MobileNetV3-based keypoint regression network, both trained entirely on synthetic data with extensive domain randomization. An iterative PnP refinement further enhances accuracy …

Purdue University School Of Nursing Guidelines For The Use Of Generative Ai Tools, Laura M. Moffat, Amanda Obourn, Courtney Henchon

Purdue School of Nursing Generative AI Toolkit

The Generative Artificial Intelligence Use and Disclosure Policy establishes School of Nursing expectations for the ethical, responsible, and transparent use of generative artificial intelligence (GenAI) in teaching and learning. The policy defines responsibilities for faculty and students, emphasizes alignment between GenAI use and course or learning activity requirements, and requires appropriate disclosure of GenAI-assisted work. It also addresses academic integrity, privacy, data security, intellectual property, accuracy, bias, and accountability. Used with the Generative AI Acceptable Use and Disclosure Scale, the policy provides a consistent framework for communicating permitted levels of GenAI use while supporting AI literacy, equitable learning, and …

Purdue University School Of Nursing Ai Level Designation And Student Disclosure: Level 1-5, Laura M. Moffat, Amanda Obourn, Courtney Henchon

Purdue School of Nursing Generative AI Toolkit

The Purdue University School of Nursing AI Level Designation and Student Disclosure: Levels 1–5 is a companion tool to the School of Nursing AI Use and Disclosure Scale. It allows faculty to clearly designate the permitted level of generative artificial intelligence (GenAI) use for a learning activity or assessment and provides standardized language for students to disclose their actual use of GenAI. The document includes disclosure options aligned with each of the five cumulative levels and reinforces student responsibility for the accuracy, integrity, and quality of submitted work. The tool supports consistent expectations, transparent communication, responsible GenAI use, and efficient …

Purdue University School Of Nursing Ai Use And Disclosure Scale, Laura M. Moffat, Amanda Obourn, Courtney Henchon

Purdue School of Nursing Generative AI Toolkit

The Purdue University School of Nursing AI Use and Disclosure Scale provides a five-level framework for communicating expectations for generative artificial intelligence (GenAI) use in learning activities and assessments. The cumulative scale ranges from work completed without GenAI assistance to activities in which extensive GenAI use may be permitted. Each level identifies allowable uses and corresponding disclosure expectations while maintaining student responsibility for the accuracy, integrity, and quality of submitted work. Faculty may select the level appropriate to the learning outcomes and assessment purpose. The scale promotes consistent communication, transparent disclosure, responsible GenAI use, and the development of AI literacy …

Flows That Teach: Multimodal Hip-Hop Pedagogy For Equity In Special Education, Camille O'Quin, Sara Jozwik

Journal of the Arts and Special Education

Hip-Hop can be more than a soundtrack played at home, it can be a bridge between culture, language, and learning at school. This article shows how Hip-Hop pedagogy, translanguaging, and code-meshing can support students with disabilities, especially those who speak African American Vernacular English (AAVE), in the classroom setting. Grounded in culturally relevant pedagogy and translanguaging theory, the approach uses rhythm, storytelling, and performance to build narrative fluency, language awareness, and confidence. Examples include students drafting rap verses about personal experiences, holding structured cypher circles to practice turn-taking and self-expression, and blending AAVE with Mainstream American English in writing for …

Developing Flow Theory For Black Girl Genius: A Conceptual Framework Grounded In Discrit, Endarkened Feminist Epistemology, And Hip-Hop Pedagogy, Keishana L. Barnes, William C. Hunter

Journal of the Arts and Special Education

Twice exceptional Black girls, those who are both intellectually gifted and identified with a disability, navigate classrooms shaped by racism, ableism, and sexism. These overlapping systems often render their brilliance illegible, leading to misidentification, exclusion, and under-support in both gifted and special education. This conceptual essay introduces Flow Theory for Black Girl Genius, a liberatory framework that considers Disability Critical Race Theory (DisCrit), Endarkened Feminist Epistemology, and Hip-Hop Pedagogy. DisCrit helps uncover the structural barriers that marginalize students at the intersection of race and disability. Endarkened Feminist Epistemology centers ancestral, embodied, and spiritual ways of knowing rooted in Black …

The Effects Of Using Hip-Hop Song Lyrics During Instruction For Students With Emotional And Behavioral Disorders, Jonte C. Taylor, Millie Rodriguez

Journal of the Arts and Special Education

Hip-hop pedagogy has emerged as a culturally responsive instructional framework designed to increase student engagement, identity affirmation, and academic achievement by incorporating elements of hip-hop culture into classroom instruction. Despite growing interest in hip-hop-based education, limited empirical research has examined its effectiveness for students with disabilities, particularly students identified with emotional and behavioral disorders (EBD). This study investigated the effects of using hip-hop song lyrics during English language arts instruction to teach literary devices to three secondary students with EBD using a single-case multiple-baseline-across-participants probe design. Three comparison students receiving traditional textbook-based instruction were also included. Dependent variables included instructional …

Leapp Writing Rubric, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Assessment Toolkit

The LEaPP Writing Rubric can be used to assess foundational and compositional writing skills for all learners. Foundational skills that are assessed include capitalization, spacing, punctuation, and spelling. Compositional skills that are assessed include writing purpose, topic maintenance, vocabulary, sentence structure, grammar usage, and organization. This rubric allows an educator to quantify and categorize a learner’s writing skills as poor, emerging, developing or consistent. It can be tailored for use with any writing sample at the sentence, single paragraph, or essay level. This document contains directions for use and a brief scoring guide.

Leapp Decoding Screener, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Assessment Toolkit

The LEaPP Decoding Screener is an educational tool to systematically map a learner's phoneme/grapheme knowledge and decoding skills along a progression. The screener starts with establishing phoneme/grapheme knowledge and continues to word level decoding skills from basic to advanced. The screener can be used in part or whole and can be repeated as needed for progress monitoring. Tables for data analysis are provided. Data from the decoding screener can be mapped to the scope and sequence progress monitoring form to help determine point of instruction.

Leapp Basic And Advanced Spelling Inventories, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Assessment Toolkit

The LEaPP Basic and Advanced Spelling Inventories are educational tools to systematically map and track a learner’s ability to encode words containing spelling features along a progression. The Basic screener starts with single graphemes and closed syllable words and moves through additional concepts such as digraphs, blends, VCe, vocalic r, basic vowel teams, and basic roots and affixes. The Advanced screener starts with beginning advanced code such as blends and moves through additional advanced concepts such as vocalic r, vowel teams, diphthongs, complex consonants, roots, affixes, and syllable junctures. The screeners can be used in part or whole and can …

Leapp Vowel Spelling Visual Chart, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Instructional Toolkit

The LEaPP Vowel Spelling Visual Chart is a spelling aid that can be used to support learners as they acquire knowledge of basic and advanced vowel spellings. This document contains basic and advanced spellings for vowel sounds in the English language. It also contains a key for educators and a template for learners to tailor to their known spelling patterns.

Leapp Sight Word Protocol, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Instructional Toolkit

The Sight Word Protocol provides guidance for explicit teaching of a sight word. It includes a script for the educator that provokes multiple modalities supporting errorless learning. The script provides 15+ trials for learners to spell a target word during the learning process and includes a special template to be used with instruction. This document also includes instructions on how to use the special template, helpful instructional hints, list of materials needed, and optional items to support the learner as they work through the sight word protocol. This protocol should be used after the educator has completed the basic or …

Neurodivergent Peer Tutoring And Anti-Ableism: Two High Schoolers’ Lived Experiences While Working In A Neurodiversity-Based Writing Center, Daniel S. Harrison

The Writing Center Journal

Neurodivergence is naturally present in the writing center and most often recognized by labels like ADHD, autism, OCD, dyslexia, and so on. However, neurodivergent voices in writing center scholarship have been few and far between in postsecondary institutions (Babcock, 2017; Batt, 2018; Kleinfeld, 2023), and in the secondary writing center even less so. Therefore, the purpose of this multiple case study was to explore the personal, relational, and formative aspects of the lived experiences of two neurodivergent students through a critical disability theory lens as they provided writing consultations to their neurodivergent peers in a Mid-Atlantic, independent special education school. …

Convenience And Communication: Students’ Experiences In Synchronous Online, In-Person, And Asynchronous Consultations, Carolyn Wisniewski

The Writing Center Journal

Writing center tutorial modalities have proliferated in recent years, yet research has not kept pace. Students’ experiences in online writing tutorials remain understudied (Denton, 2017; Hewett & DePew, 2015). Better understanding students’ experiences across session modalities is critical to achieving an inclusive and accessible writing center (Martinez & Olsen, 2015). This study used a mixed-methods, comparative design to determine how students selected, experienced, and perceived the accessibility of synchronous online, in-person, and asynchronous modalities. Qualitative and quantitative analysis of 138 surveys and 22 interviews indicated students perceived each modality to provide effective writing support. They report selecting tutorial modality based …

The Self-Identified Strategies Of Asynchronous Writing Tutors, Eric C. Camarillo

The Writing Center Journal

This study explores the self-identified strategies of asynchronous writing tutors, focusing on how they provide feedback in an online environment. The research addresses the underexplored area of asynchronous writing tutoring, which is often marginalized due to its perceived lack of interpersonal interaction. Through semi-structured interviews and screen recordings of seven writing tutors from three different institutions, the study identifies key strategies employed by tutors. These strategies include managing workloads, relying on intuition, building rapport with students, and seeking support from other tutors. The findings highlight the complexity and labor-intensive nature of asynchronous tutoring, emphasizing the need for thoughtful evaluation and …

“Like Learning To Play Chess”: Relationality And The Development Of Interpersonal Communication Skills In Writing Center Consultants, Kara Poe Alexander

The Writing Center Journal

This study explores how writing center consultants develop interpersonal communication (IPC) skills through relational interactions during peer tutoring sessions. Grounded in the theoretical framework of relationality, which views learning as emerging through relationships, I analyze interviews with undergraduate and graduate consultants at a private R1 university. The findings demonstrate that one-on- one conferences foster a broad spectrum of IPC skills, including adaptability, listening, intercultural communication, asking questions, building rapport, giving constructive criticism, setting boundaries, empathizing, and patience. The development of these knowledge and skills is cultivated through collaborative, meaning-making interactions with writers. As such, writing centers emerge as dynamic, relationship-driven …

Aquaponics: Farming Fish And Growing Greens For Grades 9–12, Amy M. Shambach,, Rebecca M. Ward, J. Stuart Carlton, Kwamena K. Quagrainie, Tomas O. Höök

Purdue University Press Books

Aquaponics: Farming Fish and Growing Greens for Grades 9–12 teaches STEM-related course material through aquaponics, a water-based agricultural system that combines aquaculture (fish production) and hydroponics (soilless vegetable production) systems. This curriculum is aligned with Next Generation Science Standards and designed to be used with an onsite aquaponics system. Topics include an introduction to aquaculture, fundamental parts of an aquaponics system, the nitrogen cycle, water quality, population dynamics, our modern food system, and more. The ten lessons presented build on each other and are intended to be delivered in sequential order. Alternatively, lessons may also be utilized as stand-alone units …

Quantitative Methods In Education: A Practical Introduction To Statistics, Yukiko Maeda, John Gipson, Sheila Hurt, Katie H. Dufault

Purdue University Press Books

Educational research often involves understanding complex patterns in student achievement, teacher effectiveness, and institutional performance. Quantitative Methods in Education: A Practical Introduction to Statistics is designed to equip current and future educators and researchers with a basic comprehension of the statistical tools necessary to effectively analyze and interpret educational data. In today’s data-driven world, the ability to leverage statistical techniques is essential for making informed decisions that can enhance learning outcomes and maximize learner potential. This book provides a systematic approach to exploring these trends using both descriptive and inferential statistics, providing readers with the knowledge to conduct rigorous analyses …

Sustainability Amid Sanctions: Adapting Business Librarian Services To Provide Equitable Services To Incarcerated Students, Ryan E. Yoakum

Midwest Business Librarian Summit (MBLS)

As of 2025, there are over 1.8 million people incarcerated in the United States, but only 6% hold an associate degree or higher. Yet research shows that earning even an associate’s degree can reduce recidivism by 85%. Given the higher rate of incarcerated individuals in Southern states, higher education in prison has the power to transform lives. These programs, however, must work around restrictions set by a state’s department of corrections, which can often lead to disparities between their experience and those of students on campus. These restrictions impact research and other programs supported by academic librarians.

This lightning talk …