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1. danceON: Culturally Responsive Creative Computing

   https://doi.org/10.1145/3411764.3445149  

   Payne, William Christopher; Bergner, Yoav; West, Mary Etta; Charp, Carlie; Shapiro, R. Benjamin; Szafir, Danielle Albers; Taylor, Edd V.; DesPortes, Kayla (May 2021, CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems)

   null (Ed.)

   Dance provides unique opportunities for embodied interdisciplinary learning experiences that can be personally and culturally relevant. danceON is a system that supports learners to leverage their body movement as they engage in artistic practices across data science, computing, and dance. The technology includes a Domain Specific Language (DSL) with declarative syntax and reactive behavior, a media player with pose detection and classification, and a web-based IDE. danceON provides a low-floor allowing users to bind virtual shapes to body positions in under three lines of code, while also enabling complex, dynamic animations that users can design working with conditionals and past position data. We developed danceON to support distance learning and deployed it in two consecutive cohorts of a remote, two-week summer camp for young women of color. We present our findings from an analysis of the experience and the resulting computational performances. The work identifies implications for how design can support learners’ expression across culturally relevant themes and examines challenges from the lens of usability of the computing language and technology. 

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2. Toward Competency-Based Professional Accreditation in Computing

   https://doi.org/10.1145/3571785.3574121  

   Raj, Rajendra K.; Impagliazzo, John; Aly, Sherif G.; Bowers, David S.; Connamacher, Harold; Kurkovsky, Stan; MacKellar, Bonnie; Prickett, Tom; Marques Samary, Maíra (December 2022, 2022 ITiCSE Working Group Reports (ITiCSE-WGR ’22))

   Program accreditation in medical or religious professions has existed since the 1800s while accreditation of business and engineering programs started in the early twentieth century. With this long history, these disciplines have focused on ensuring the competence of their graduates, as modern society demands appropriate expertise from doctors and engineers before letting them practice their profession. In computing, however, professional accreditation started in the last decades of the twentieth century only after computer science, informatics, and information systems programs became widespread. At the same time, although competency-based learning has existed for centuries, its growth in computing is relatively new, resulting from recent curricular reports such as Computing Curricula 2020, which have defined competency comprising knowledge, skills, and dispositions. In addition, demands are being placed on university programs to ensure their graduates are ready to enter and sustain employment in the computing profession. This work explores the role of accreditation in forming and developing professional competency in non-computing disciplines worldwide, building on this understanding to see how computing accreditation bodies could play a similar role in computing. This work explores the role of accreditation in forming and developing professional competency in non-computing disciplines worldwide, building on this understanding to see how computing accreditation bodies could play a similar role in computing. Its recommendations are to incorporate competencies in all computing programs and future curricular guidelines; create competency-based models for computing programs; involve industry in identifying workplace competencies, and ensure accreditation bodies include competencies and the assessment in their standards. 

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3. CyberMAGICS: Cyber Training on Materials Genome Innovation for Computational Software for Future Engineers

   Nomura, Ken-ichi; Dev, Pratibha; Nakano, Aiichiro; Vashishta, Priya; Wei, Tao (January 2023, American Society for Engineering Education Conference)

   Computing landscape is evolving rapidly. Exascale computers have arrived, which can perform 10^18 mathematical operations per second. At the same time, quantum supremacy has been demonstrated, where quantum computers have outperformed these fastest supercomputers for certain problems. Meanwhile, artificial intelligence (AI) is transforming every aspect of science and engineering. A highly anticipated application of the emerging nexus of exascale computing, quantum computing and AI is computational design of new materials with desired functionalities, which has been the elusive goal of the federal materials genome initiative. The rapid change in computing landscape resulting from these developments has not been matched by pedagogical developments needed to train the next generation of materials engineering cyberworkforce. This gap in curricula across colleges and universities offers a unique opportunity to create educational tools, enabling a decentralized training of cyberworkforce. To achieve this, we have developed training modules for a new generation of quantum materials simulator, named AIQ-XMaS (AI and quantum-computing enabled exascale materials simulator), which integrates exascalable quantum, reactive and neural-network molecular dynamics simulations with unique AI and quantum-computing capabilities to study a wide range of materials and devices of high societal impact such as optoelectronics and health. As a singleentry access point to these training modules, we have also built a CyberMAGICS (cyber training on materials genome innovation for computational software) portal, which includes step-by-step instructions in Jupyter notebooks and associated tutorials, while providing online cloud service for those who do not have access to adequate computing platform. The modules are incorporated into our open-source AIQ-XMaS software suite as tutorial examples and are piloted in classroom and workshop settings to directly train many users at the University of Southern California (USC) and Howard University—one of the largest historically black colleges and universities (HBCUs), with a strong focus on underrepresented groups. In this paper, we summarize these educational developments, including findings from the first CyberMAGICS Workshop for Underrepresented Groups, along with an introduction to the AIQ-XMaS software suite. Our training modules also include a new generation of open programming languages for exascale computing (e.g., OpenMP target) and quantum computing (e.g., Qiskit) used in our scalable simulation and AI engines that underlie AIQ-XMaS. Our training modules essentially support unique dual-degree opportunities at USC in the emerging exa-quantum-AI era: Ph.D. in science or engineering, concurrently with MS in computer science specialized in high-performance computing and simulations, MS in quantum information science or MS in materials engineering with machine learning. The developed modular cyber-training pedagogy is applicable to broad engineering education at large. 

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4. NLP4Science: Designing a Platform for Integrating Natural Language Processing in Middle School Science Classrooms

   https://doi.org/10.1109/VL-HCC57772.2023.00050  

   Dhama, S.; Katuka, G.; Celepkolu, M.; Boyer, K.E.; Glazewski, K.; Hmelo-Silver, C. (October 2023, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC))

   Artificial Intelligence (AI) and Natural Language Processing (NLP) have become increasingly relevant across multiple fields, creating a necessity for young learners to understand these concepts. However, resources enabling learners to apply AI and NLP, particularly in middle school science, remain limited. To address this gap, we present the early development of NLP4Science, an interactive visualization application facilitating the integration of NLP concepts such as sentiment analysis and keyword extraction into middle school science. We adopted an iterative co-design process starting with a professional development workshop with four teachers, followed by a 2-day pilot study with 48 eighth graders, and concluding with a 5-day study involving 50 sixth graders. This poster presents an overview of NLP4Science, highlighting its key features, and sharing insights gained from the iterative design process, demonstrating the potential of NLP4Science to transform AI and NLP learning within middle school science classrooms. 

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5. CyberMAGICS: Cyber Training on Materials Genome Innovation for Computational Software for Future Engineers

   Nomura K.; Dev P.; Nakano A.; Vashishta P.; Wei T. (April 2023, American Society for Engineering Education (ASEE) Division of Pacific South West Section (PSW))

   Computing landscape is evolving rapidly. Exascale computers have arrived, which can perform 10^18 mathematical operations per second. At the same time, quantum supremacy has been demonstrated, where quantum computers have outperformed these fastest supercomputers for certain problems. Meanwhile, artificial intelligence (AI) is transforming every aspect of science and engineering. A highly anticipated application of the emerging nexus of exascale computing, quantum computing and AI is computational design of new materials with desired functionalities, which has been the elusive goal of the federal materials genome initiative. The rapid change in computing landscape resulting from these developments has not been matched by pedagogical developments needed to train the next generation of materials engineering cyberworkforce. This gap in curricula across colleges and universities offers a unique opportunity to create educational tools, enabling a decentralized training of cyberworkforce. 

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