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Articles 31 - 60 of 50068
Full-Text Articles in Entire DC Network
Multi-Scale In-Situ Powder Stream Characterization For Laser Directed Energy Deposition, Guang Yang, Clara Mock, Salil Bapat, Ajay Malshe
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 × …
Challenges And Opportunities For Advanced Manufacturing To Deliver War-Winning Technology To The Warfighter, Clara Mock, Jian Yu, Eric Wetzel, Isaac Nault, Robert Jensen, James Snyder, Megan Lynch, Christopher Hoppel
Challenges And Opportunities For Advanced Manufacturing To Deliver War-Winning Technology To The Warfighter, Clara Mock, Jian Yu, Eric Wetzel, Isaac Nault, Robert Jensen, James Snyder, Megan Lynch, Christopher Hoppel
MMRL-XMO Industrial Seminar
Global supply chain vulnerabilities and contested logistics environments necessitate a paradigm shift in military production and sustainment. Advanced Manufacturing (AdvM) offers the critical agility required to rapidly produce and repair components. This report reviews the current state of AdvM technology and its dual role in supercharging the domestic Defense Industrial Base (DIB) while enabling distributed, Point-of-Need (PoN) manufacturing directly on the battlefield. First, we identify persistent challenges hindering widespread AdvM adoption, including material limitations, process transferability, and arduous certification pathways. To address these barriers, this paper highlights emerging solutions across four key domains: (1) the formulation of novel feedstocks, ranging …
U.S. Army Allied Trades Specialist Workforce Development For Advanced Manufacturing, Christopher Bolton, Moises Chavez, Matthew Robert Patterson, Kaitlyn Toth
U.S. Army Allied Trades Specialist Workforce Development For Advanced Manufacturing, Christopher Bolton, Moises Chavez, Matthew Robert Patterson, Kaitlyn Toth
MMRL-XMO Industrial Seminar
Under different titles - Machinist, Metal Worker, and now Allied Tradesman - the U.S. Army has employed soldiers to maintain equipment using traditional machining, welding and fabricating technologies. Recent advancements in metal and polymer additive manufacturing, subtractive manufacturing, computer-aided design, and reverse engineering provide capabilities that enable warfighters to sustain, adapt, and modify existing systems, directly enhancing combat effectiveness. However, soldiers in fabrication-focused roles currently receive limited training in the application of these novel advanced manufacturing technologies to mission-relevant tasks. The training provided through Advanced Individual Training pipelines has not kept pace with the state-of-the-art technologies used in industry, leaving …
Experimental Study Of Mechanical Performance Of Fused Filament Fabricated Thin Walls Via Stress-Oriented Toolpath Planning Under Concentrated Compressive Load, Siying Chen, Xingyu Fu, Fengfeng Zhou, Martin Byung-Guk Jun
Experimental Study Of Mechanical Performance Of Fused Filament Fabricated Thin Walls Via Stress-Oriented Toolpath Planning Under Concentrated Compressive Load, Siying Chen, Xingyu Fu, Fengfeng Zhou, Martin Byung-Guk Jun
MMRL-XMO Industrial Seminar
This paper investigates the mechanical performance of fused filament fabricated (FFF) thin-walled structures with stress-oriented toolpath planning. Specifically, the failure of 3D printed thin walls via stress-oriented toolpath planning were experimentally characterized under concentrated compressive load. The thin wall structure was generated using the dense infill toolpath generation algorithm via an improved Depth-First Search (DFS) framework proposed in our previous work [1]. With the algorithm, the toolpaths were planned according to the principal stress direction, which helped improve compressive strength, improving buckling resistance. Stress-oriented toolpath that aligned along the principal stress direction (S1) was proposed to fabricate the thin wall. …
Resource Efficient Hybrid Manufacturing: Integration Of Reconfigurable Tooling, Flexible Deformation And Non-Planar Deposition, Shivaprasad Cherukupally, Venkata Reddy
Resource Efficient Hybrid Manufacturing: Integration Of Reconfigurable Tooling, Flexible Deformation And Non-Planar Deposition, Shivaprasad Cherukupally, Venkata Reddy
MMRL-XMO Industrial Seminar
Flexible and hybrid processes play an important role in smart manufacturing by enabling adaptable, resource-efficient and eco-friendly fabrication strategies. In this work a hybrid combination of Double Sided Incremental Forming (DSIF), Reconfigurable Tooling (RT) and Wire-based Directed Energy Deposition (WDED) is proposed to utilize non-planar sheet metal substrates during metal additive manufacturing. The approach aimed to explore the geometrical freedom offered by DSIF and tailored thermal and mechanical support provided by RT to reduce support structure requirements, substrate deformation and component distortion. Experimental studies demonstrate successful fabrication of complex geometries, improved dimensional accuracy and enhanced surface quality through suitable process …
The Effect Of Particle Fillers On The Adhesion Of Co-Printed Thermoplastics And Photopolymers Using Dissimilar Material Printing, Jean Carlos Corraliza-Rodriguez, Christopher John Steines, James John Plotzke, Monique Suzanne Mcclain
The Effect Of Particle Fillers On The Adhesion Of Co-Printed Thermoplastics And Photopolymers Using Dissimilar Material Printing, Jean Carlos Corraliza-Rodriguez, Christopher John Steines, James John Plotzke, Monique Suzanne Mcclain
MMRL-XMO Industrial Seminar
The demand for multi-material additive manufacturing (AM) is increasing due to the complex design requirements needed to make advanced devices for a variety of fields.[MM1.1] Dissimilar Material Printing (DMP) is an extreme form of multi-material printing that involves combining materials that have dissimilar properties (i.e. mechanical, thermal, etc.) and processing requirements. On version of DMP includes integrating Fused Filament Fabrication (FFF) with Direct Ink Write (DIW) to co-print polymers such as thermoplastics and glass bead reinforced photopolymers. Previous research has focused in understanding the effect of print bed holding temperature on interfacial adhesion in FFF/DIW DMP. However, there is still …
Controllable Failure In 3d Printed Carbon Fiber Petg Using Programmable Cooling Conditions, Anna Keim, Monique Mcclain
Controllable Failure In 3d Printed Carbon Fiber Petg Using Programmable Cooling Conditions, Anna Keim, Monique Mcclain
MMRL-XMO Industrial Seminar
The tensile properties of 3D printed specimens using fused filament fabrication (FFF) are the subject of extensive research. Forced convection from print cooling fans has been shown to have a measurable effect on print quality and tensile performance because the cooling rate of the polymer strongly controls interlayer adhesion. Print fan speeds are typically kept constant throughout a print, but changing the fan cooling throughout a print has the potential to locally tune interlayer strength and therefore, the location of break. This work shows the effect of selectively cooling printed regions, with the goal of repeatably inducing failure in these …
A Semantic Evaluation Approach For Improving The Reliability Of Llm Outputs In Manufacturing, Dongjun Yun, Martin Byung-Guk Jun
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
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 …
Convergent Manufacturing Of Metal-Ceramic Architectures For High-Temperature Environments, Sk Shamim Hasan Abir, Joni C. Dhar, Sandipan Mishra, Daniel Lewis, Johnson Samuel
Convergent Manufacturing Of Metal-Ceramic Architectures For High-Temperature Environments, Sk Shamim Hasan Abir, Joni C. Dhar, Sandipan Mishra, Daniel Lewis, Johnson Samuel
MMRL-XMO Industrial Seminar
High-temperature thermal barrier systems require a graded architecture that transitions from a metallic substrate to a ceramic top coat to mitigate damage caused by mismatches in coefficients of thermal expansion (CTE). This study presents a convergent manufacturing strategy that integrates twisted wire gas tungsten arc (GTA) surfacing with cold sintering (CS), followed by CO₂ laser sintering, to fabricate a robust thermal barrier. High entropy alloy (HEA) bond coats with Al-Cr-Fe-Ni-based compositions were deposited onto Inconel 625 substrates using semi-automatically twisted commercial welding wires (Inconel 625, SS308Lsi, and Al ER4043) via GTA surfacing, resulting in HEA layers predominantly composed of >60 …
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
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. …
Experimental Investigation Of Thermal States In Polymer–Ceramic Multi-Material Additive Manufacturing, Jagadeesh Reddy Kanuboddu, Amy Peterson, Alireza Amirkhizi, Christopher J. Hansen
Experimental Investigation Of Thermal States In Polymer–Ceramic Multi-Material Additive Manufacturing, Jagadeesh Reddy Kanuboddu, Amy Peterson, Alireza Amirkhizi, Christopher J. Hansen
MMRL-XMO Industrial Seminar
Polymer–ceramic multi-material additive manufacturing (MMAM) offers opportunities to combine the complementary properties of polymers and ceramics within a single structure. However, integration of these materials remains challenging because ceramic processing temperatures greatly exceed those tolerated by most polymers, creating the risk of melting or thermal degradation during adjacent ceramic processing. This challenge is particularly important when laser-based ceramic processing is performed in proximity to polymer additive manufacturing processes, including applications involving ceramic powder bed fusion. Understanding transient heat transfer from laser-heated ceramic regions to neighbouring polymer structures is therefore important for the development of practical polymer–ceramic MMAM approaches. Previous thermal …
Thermal Analysis And Fabrication Of Polyelectrolyte-Ceramic Composites, Rajeswari Das, Amy M. Peterson, Christopher Hansen, Alireza Amirkhizi
Thermal Analysis And Fabrication Of Polyelectrolyte-Ceramic Composites, Rajeswari Das, Amy M. Peterson, Christopher Hansen, Alireza Amirkhizi
MMRL-XMO Industrial Seminar
Polyelectrolyte complexes (PECs) are a versatile class of macromolecular assemblies that are formed by mixing two oppositely charged polyelectrolyte solutions. Because of their tunable properties, PECs have attracted significant interest for applications in tissue engineering scaffolds, drug delivery systems and underwater adhesives. In this study, PECs were formed by combining a strong polycation (poly(diallyldimethylammonium chloride), PDADMAC) with a strong polyanion (poly(sodium 4-styrenesulfonate), PSS) and were further reinforced with alumina to produce composite materials. The effects of salt concentration and ceramic filler incorporation were investigated as the primary experimental variables. Alumina was chosen as the reinforcing phase because of its established …
Photopolymerization-Based Additive Manufacturing Of Glass Microsphere-Filled Composites, Nzube Udegbunam, Amy Peterson, Christopher Hansen, Pauline Smith, Alireza Amirkhizi, Ian Mcaninch
Photopolymerization-Based Additive Manufacturing Of Glass Microsphere-Filled Composites, Nzube Udegbunam, Amy Peterson, Christopher Hansen, Pauline Smith, Alireza Amirkhizi, Ian Mcaninch
MMRL-XMO Industrial Seminar
Composite systems offer significant advantages in tailoring mechanical properties across a component; however, the influence of additive manufacturing techniques on the microstructure, cure behavior, and performance of such materials remains insufficiently understood, particularly for photocurable polymer composites. This study investigates the fabrication and characterization of polymer composites reinforced with glass microspheres using two additive manufacturing techniques, specifically UV-assisted Direct Ink Writing (DIW) and Digital Light Processing (DLP). Interestingly, we observe large differences in tensile properties between DLP specimens fabricated using different printers, indicating that individual printer design is an important consideration. We also demonstrate that the same polymer feedstock can …
Convergent Manufacturing Of Smart Metallic Structures, Jinhan Ren, Shinan Huang, Sazedur Rahman, Fotis Kopsaftopoulos, Johnson Samuel, Semih Akin
Convergent Manufacturing Of Smart Metallic Structures, Jinhan Ren, Shinan Huang, Sazedur Rahman, Fotis Kopsaftopoulos, Johnson Samuel, Semih Akin
MMRL-XMO Industrial Seminar
Smart Metallic Structures (SMS) featuring embedded sensing capabilities have gained significant attention for mission-critical applications. Despite the growing importance of this emerging field, achieving reliable and efficient fabrication of SMS remains a challenge. This study presents a convergent manufacturing pathway for producing smart structures with integrated sensing capabilities. By leveraging Wire-Arc Additive Manufacturing (WAAM) as the primary additive process and combining it with complementary subtractive machining, sensor embedding, and metallization techniques, the developed approach enables the fabrication of multifunctional metallic components tailored for advanced structural monitoring SHM). To demonstrate this concept, a structural beam made of Al-5356 was designed to …
Active Cooling Of Polymer-Ceramic Interfaces In Multi-Material Additive Manufacturing, Olorunfemi J. Esan, Christopher Hansen, Alireza Amirkhizi, Ian M. Mcaninch, Stephen R. Cluff, Pauline M. Smith, Amy Peterson
Active Cooling Of Polymer-Ceramic Interfaces In Multi-Material Additive Manufacturing, Olorunfemi J. Esan, Christopher Hansen, Alireza Amirkhizi, Ian M. Mcaninch, Stephen R. Cluff, Pauline M. Smith, Amy Peterson
MMRL-XMO Industrial Seminar
Multi-material additive manufacturing (MMAM) enables the fabrication of components with tailored properties and functionalities. However, integrating dissimilar materials such as polymers and ceramics remains challenging due to their widely differing processing temperatures. In this work, we modeled the integrated processing of polymer-ceramic systems and investigated active cooling strategies to preserve the polymeric component. The modeled MMAM approach consists of laser fusion (not necessarily powder bed) of both the polymer and the ceramic. A physical gap was designed between the two materials, and nitrogen gas flow at pressures ranging from 0.5 to 2 psi was introduced into the gap. The results …
Robust And Accurate Pose Estimation For In-Space Robotic Manufacturing Under Challenging Lighting Conditions, Abhay Negi, Rudranarayan Mukherjee, Satyandra K. Gupta
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 …
Low-Cost Agile Tooling For Stamping Metallic And Composite Sheets Using A Hybrid 3d-Printed Composite Shell And A Core, Alireza Zarei, Koorosh Delavari, Mostafa Elnaggar, Madhura Athale, Taejoon Park, Farhang Pourboghrat, Srikanth Pilla
Low-Cost Agile Tooling For Stamping Metallic And Composite Sheets Using A Hybrid 3d-Printed Composite Shell And A Core, Alireza Zarei, Koorosh Delavari, Mostafa Elnaggar, Madhura Athale, Taejoon Park, Farhang Pourboghrat, Srikanth Pilla
MMRL-XMO Industrial Seminar
Conventional sheet metal and composite stamping depends on machined steel dies that are expensive and slow to produce, limiting their practicality for prototyping and low-volume manufacturing. This study presents a low-cost agile tooling (LCAT) strategy that integrates a 3D-printed polymer composite shell with a concrete core. Tool shells were fabricated using FDM method with polyamide 12 thermoplastic filament reinforced with 35 wt% chopped carbon fiber. The workflow included 3D printing, machining test coupons, mechanical characterization, constitutive model development, finite element simulation, and stamping trials. Results show that the new composite tool design offers better performance and lower cost than fully …
Effects Of Human-Animal Interaction On Positive Youth Development: A Replication Study, Allison Pachunka, Jay Jeffries, Lisa Karr, Lena Luck, Bryan A. Reiling, Douglas H. Schultz, Jeffrey R. Stevens
Effects Of Human-Animal Interaction On Positive Youth Development: A Replication Study, Allison Pachunka, Jay Jeffries, Lisa Karr, Lena Luck, Bryan A. Reiling, Douglas H. Schultz, Jeffrey R. Stevens
People and Animals: The International Journal of Research and Practice
Interacting with animals can improve health and well-being across the lifespan. Some programs such as 4-H and FFA center around youth interacting with animals, potentially enhancing youth development. Mueller (2014) investigated whether these interactions and attitudes about animals influenced measures of positive youth development. The aim of our studies was to replicate Mueller’s methods and extend her work by evaluating whether membership in animal-focused youth programs moderate associations between interactions, attitudes, and positive youth development. We did not find strong relationships among human–animal inter-action and positive youth development, which failed to replicate Mueller’s findings. However, we did find relationships between …
Purdue University School Of Nursing Guidelines For The Use Of Generative Ai Tools, Laura M. Moffat, Amanda Obourn, Courtney Henchon
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 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 Generative Ai Syllabus Statement, Laura M. Moffat, Amanda Obourn, Courtney Henchon
Purdue University School Of Nursing Generative Ai Syllabus Statement, Laura M. Moffat, Amanda Obourn, Courtney Henchon
Purdue School of Nursing Generative AI Toolkit
The Purdue University School of Nursing Generative Artificial Intelligence Syllabus Statement provides standardized language for communicating expectations for generative artificial intelligence (GenAI) use in School of Nursing courses. The statement directs students to use GenAI only as permitted by the instructor and the designated level of the School of Nursing AI Use and Disclosure Scale. It addresses required disclosure, student accountability, use of Purdue-approved platforms, and protection of copyrighted, confidential, and otherwise protected information. The statement also connects inappropriate or undisclosed GenAI use with applicable School of Nursing and University academic integrity policies, promoting consistent and transparent expectations across courses.
Purdue University School Of Nursing Suspected Unauthorized Generative Ai Use: Faculty Review And Escalation Process, Laura M. Moffat, Amanda Obourn, Courtney Henchon
Purdue University School Of Nursing Suspected Unauthorized Generative Ai Use: Faculty Review And Escalation Process, Laura M. Moffat, Amanda Obourn, Courtney Henchon
Purdue School of Nursing Generative AI Toolkit
The Purdue University School of Nursing Suspected Unauthorized Generative AI Use: Faculty Review and Escalation Process provides a structured, evidence-informed approach for responding to concerns about unauthorized or undisclosed generative artificial intelligence (GenAI) use in student work. The process guides faculty through an initial holistic review, student communication, documentation, and consideration of relevant course and assignment expectations. It includes a three-tier framework for determining proportionate, learning-focused, or formal responses based on the nature and severity of the concern. When evidence is inconclusive or concerns remain unresolved, consultation with the course coordinator and nursing leadership is recommended. The process promotes consistency, …
After A Fire: Considerations Of Personal Safety When Visiting Fire-Damaged Property, Andrew J. Whelton, Todd Thalhamer, Eric Bollens
After A Fire: Considerations Of Personal Safety When Visiting Fire-Damaged Property, Andrew J. Whelton, Todd Thalhamer, Eric Bollens
Resilience to Emergencies and Disasters
No abstract provided.
Purdue University School Of Nursing Ai Use And Disclosure Scale, Laura M. Moffat, Amanda Obourn, Courtney Henchon
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 …
Using Hip Hop Pedagogy To Bridge The Culture Of Black Children Identified With Behavioral Disorders In The Curriculum, Monique Matute-Chavarria, Pricella Morris, Monica R. Brown
Using Hip Hop Pedagogy To Bridge The Culture Of Black Children Identified With Behavioral Disorders In The Curriculum, Monique Matute-Chavarria, Pricella Morris, Monica R. Brown
Journal of the Arts and Special Education
Black and other minoritized children have listened to hip hop in the streets, in clubs, in basements, and anywhere else that they could create a space to enjoy this art form. However, hip hop has not always been welcomed in school spaces because of the lyrical content. Despite the objections to hip hop (specifically rap), minoritized children often look to it as representative of who they are and the communities they come from. Therefore, in this paper, we propose the use of hip hop strategies in the schools, utilizing its pillars (i.e., rap, DJing, breakdancing, graffiti art, and knowledge of …
Ábreme La Puerta Y Entraré: Utilizing Hip Hop Pedagogy To Build Community For English Learners With Disabilities, Ebony Nicole Perez, Georgina Rivera-Singletary
Ábreme La Puerta Y Entraré: Utilizing Hip Hop Pedagogy To Build Community For English Learners With Disabilities, Ebony Nicole Perez, Georgina Rivera-Singletary
Journal of the Arts and Special Education
English Language Learners (ELL) with disabilities face complex educational experiences due to their limited English-speaking ability, coupled with their unique learning challenges. Often, they are viewed from a deficit rather than an asset perspective, leading them to feelings of isolation and marginalization. Providing opportunities to engage in transformative learning experiences, ELL students with disabilities can experience a sense of belonging and empowerment in educational endeavors. Hip-hop can offer dynamic opportunities for ELL students with disabilities by creating an inclusive, affirming space that validates diverse linguistic and cultural backgrounds. Through Hip-hop cyphers, rap battles, and collaborative songwriting, students can grasp new …
Flows That Teach: Multimodal Hip-Hop Pedagogy For Equity In Special Education, Camille O'Quin, Sara Jozwik
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 …
Jase 6.2 Table Of Contents
Journal of the Arts and Special Education
No abstract provided.