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Robotics in universal prekindergarten classrooms

international JOURNAL OF technology AND DESIGN EDUCATION 2025年第1期35卷 3-24页

作者： Levinson, Tess Bers, Marina Boston Coll Lynch Sch Educ & Human Dev 140 Commonwealth Ave Chestnut Hill MA 02467 USA

Policy emphases on early childhood and elementary computer science education have led to the development of many developmentally appropriate computer science and robotics tools, pedagogies, and high-quality curricula. One example is the integrated Coding as Another Language pedagogy for coding, literacy, and social and emotional learning. The pedagogy was initially developed for students in kindergarten and early elementary school and has not previously been aligned to prekindergarten learning frameworks or used in the prekindergarten setting. In this paper, we describe a pilot program if the CAL pedagogy could be successfully used for the prekindergarten setting. The study used a design-based method to adapt the Coding as Another Language curriculum for the prekindergarten setting and a mixed-methods protocol to evaluate the program at a preschool site serving children experiencing homelessness in classrooms that are part of the local school district's universal prekindergarten program. Students were assessed using the Coding Stages Assessment of coding knowledge and the TechCheck-PreK assessment of computational thinking. Teachers completed semi-structured interviews over the course of the project. Teachers reported overall positive experiences teaching the curriculum including for English language learners, although some reported challenges integrating the curricula in their bilingual classrooms. Children participating in the program significantly improved on their coding knowledge by 4.60 points on the Coding Stages Assessment, p < .0001. These findings suggest that the Coding as Another Language pedagogy can be successfully integrated with preschool learning frameworks and implemented in preschool classrooms.

关键词： computer science education Robotics education computational thinking Universal prekindergarten Head start Homelessness

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Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning 31

Reasoning-Oriented and Analogy-Based Methods for Locating an...

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31st international Conference on computational Linguistics, COLING 2025

作者： Tang, Jingyao Li, Lishuang Mi, Liteng Wu, Haiming Lu, Hongbin School of Computer Science and Technology Dalian University of Technology China School of Computer Science and Technology Beijing Institute of Technology China School of Computer Science and Artificial Intelligence Liaoning Normal University China

ISBN: (纸本)9798891761964

Zero-shot event-relational reasoning is an important task in natural language processing, and existing methods jointly learn a variety of event-relational prefixes and inference-form prefixes to achieve such tasks. However, training prefixes consumes large computational resources and lacks interpretability. Additionally, learning various relational and inferential knowledge inefficiently exploits the connections between tasks. Therefore, we first propose a method for Reasoning-Oriented Locating and Editing (ROLE), which locates and edits the key modules of the language model for reasoning about event relations, enhancing interpretability and also resource-efficiently optimizing the reasoning ability. Subsequently, we propose a method for Analogy-Based Locating and Editing (ABLE), which efficiently exploits the similarities and differences between tasks to optimize the zero-shot reasoning capability. Experimental results show that ROLE improves interpretability and reasoning performance with reduced computational cost. ABLE achieves SOTA results in zero-shot reasoning. © 2025 Association for computational Linguistics.

关键词： Zero-shot learning

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Tangible Interfaces for computational Tinkering 25

Tangible Interfaces for Computational Tinkering

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19th international Conference on Tangible Embedded and Embodied Interaction

作者： Ranjan, Krithik Univ Colorado Boulder ATLAS Inst Boulder CO 80309 USA

ISBN: (纸本)9798400711978

Tangible interfaces have become integral to human-computer interaction, especially in educational settings that offer engaging ways for learners to interact with digital technology. This paper explores the landscape of tangible interfaces for computational tinkering-tools and interfaces that empower learners to engage with computational experiences in a playful and open-ended format. In this preliminary work for the Graduate Student Consortium, I examine a set of these projects through the lenses of context, tangibility, expressivity, and materiality, and seek to develop a rich classification and research goals from the insights. This paper also presents two of my projects in this space.

关键词： Tangible Interaction TUI Tinkering Children computational Tinkering Open-ended learning

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Machine learning and data analytics driven model for income tax rebate estimation: A neoteric and benign approach 4th

Machine learning and data analytics driven model for income ...

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4th international Conference on computational Methods in science and technology, ICCMST 2024

作者： Sharma, Viney Kumar, Achal Singh, Archana Kumar, Manish Department of Computer Science & Engineering Sharda University Agra India Department of Computer Science & Engineering Anand Engineering College Agra India Department of Computer Science & Engineering Chandigarh Engineering College Landran India

ISBN: (纸本)9781032911571

The provision of rebate to needy/underprivileged sections of society has been in practice since long in government organizations. The efficacy of such provisions lies in the fact that whether this rebate reaches people for whom it is intended. The biggest problem in awarding relief lies in the fact that people may not disclose their actual income. This paper conducts a study which strives for proposing a model which helps in assessing the financial status of any person given certain information about that person. This paper aims at proposing a Machine learning and Data Analytics driven model that predict the financial status of a person. The striking feature of this study is that results are applicable not only to income tax rebate problem but with minor customization, the model can be extended to work in other problems also where financial status of a person matters. © 2025 the Author(s).

关键词： Decentralized finance

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MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows 31

MeHyper: Accelerating Hypergraph Neural Networks by Explorin...

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31st IEEE international symposium on High Performance computer Architecture, HPCA 2025

作者： Zhao, Wenju Yao, Pengcheng Chen, Dan Zheng, Long Liao, Xiaofei Wang, Qinggang Ma, Shaobo Li, Yu Liu, Haifeng Xiao, Wenjing Sun, Yufei Zhu, Bing Jin, Hai Xue, Jingling Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan430074 China National University of Singapore School of Computing 119077 Singapore Guangxi University School of Computer Electronics and Information NanNing530004 China University of New South Wales School of Computer Science and Engineering SydneyNSW2052 Australia

ISBN: (纸本)9798331506476

Hypergraph Neural Networks (HGNNs) are increasingly utilized to analyze complex inter-entity relationships. Traditional HGNN systems, based on a hyperedge-centric dataflow model, independently process aggregation tasks for hyperedges and vertices, leading to significant computational redundancy. This redundancy arises from recalculating shared information across different tasks. For the first time, we identify and harness implicit dataflows (i.e., dependencies) within HGNNs, introducing the microedge concept to effectively capture and reuse intricate shared information among aggregation tasks, thereby minimizing redundant computations. We have developed a new microedge-centric dataflow model that processes shared information as fine-grained microedge aggregation tasks. This dataflow model is supported by the Read-Process-Activate-Generate execution model, which aims to optimize parallelism among these tasks. Furthermore, our newly developed MeHyper, a microedge-centric HGNN accelerator, incorporates a decoupled pipeline for improved computational parallelism and a hierarchical feature management strategy to reduce off-chip memory accesses for large volumes of intermediate feature vectors generated. Our evaluation demonstrates that MeHyper substantially outperforms the leading CPUbased system PyG-CPU and the GPU-based system HyperGef, delivering performance improvements of 1,032.23 × and 10.51 ×, and energy efficiencies of 1,169.03 × and 9.96 ×, respectively. © 2025 IEEE.

关键词： Redundancy

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Unveiling the web of privacy: A comprehensive review of threats to information security in social networks 4th

Unveiling the web of privacy: A comprehensive review of thre...

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4th international Conference on computational Methods in science and technology, ICCMST 2024

作者： Singh, Shalini Baloni, Dev Sarkar, Manash Department of Computer Science and Engineering Quantum University Roorkee India Department of Computer Science and Engineering Atria Institute of Technology Banglore India

ISBN: (纸本)9781032911571

This review paper explores emerging threats to information privacy and security within the dynamic landscape of Online Social Networks (OSNs), which serve as repositories of vast amounts of user data. The rise in social media use emphasizes how crucial it is to inform users about the dangers that come with it, like cyber-attacks and privacy violations. Even though various social media platforms have been made possible by technological advancements, consumers’ ignorance of these platforms creates serious security risks. Although academics have come up with creative security solutions for social networks, there are obstacles in the way of their actual application. It is essential to continuously assess security vulnerabilities in light of technology improvements. This study examines several dangers to online social networks and suggests countermeasures based on a variety of models, frameworks, and encryption methods. Despite advancements, privacy concerns remain unaddressed, requiring parents to actively supervise their children’s online activity. © 2025 the Author(s).

关键词： Differential privacy

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Secure and Optimized Cloud Storage with Privacy Preservation using Improved SHA - 256 2

Secure and Optimized Cloud Storage with Privacy Preservation...

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2nd international Conference on computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Joshi, Aditi Devarajan, Ganesh Gopal Karuppiah, Marimuthu Sharma, Yogesh Kumar Department of Computer Science and Engineering SRM Institute of Science and Technology Delhi NCR Campus Uttar Pradesh Ghaziabad201204 India Department of Computer Science and Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Delhi NCR Campus Uttar Pradesh Ghaziabad201204 India Presidency School of Computer Science and Engineering Presidency University Karnataka Bengaluru560064 India Department of CSE Dewan V S Institute of Technology U.P Meerut India

ISBN: (纸本)9798331530389

With the increased reliance of enterprises on cloud storage solutions for data management, maintaining safe and efficient storage while emphasizing privacy protection is crucial. With an emphasis on user privacy, this study examines the methods, tools, and difficulties currently involved in attaining safe and effective cloud storage. It looks at access control protocols, encryption techniques like SHA-256, and new technologies that are intended to improve the security and effectiveness of cloud storage systems. The study also addresses the changing trends influencing the security of cloud storage in the future and emphasizes the significance of adhering to privacy laws. © 2025 IEEE.

关键词： Cloud storage

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Diagnosability Verification and Enforcement for Unbounded Petri Nets by Online Supervisors

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IEEE TRANSACTIONS ON AUTOMATION science AND ENGINEERING 2025年 22卷 9061-9074页

作者： Hu, Shaopeng Hu, Yihui Liu, Ding Fanti, Maria Pia Li, Zhiwu Xidian Univ Sch Electromech Engn Xian 710071 Peoples R China Xian Univ Posts & Telecommun Sch Automat Xian 710121 Peoples R China Polytech Univ Bari Dept Elect & Informat Engn I-70125 Bari Italy Macau Univ Sci & Technol Inst Syst Engn Taipa Macao Peoples R China

This paper addresses the problems of diagnosability verification and enforcement of discrete event systems modeled with unbounded Petri nets. Diagnosability in such systems is critical for ensuring reliability and maintaining operational integrity, yet current methods often struggle with the complexity introduced by unboundedness and potential deadlocks. Given an unbounded labeled Petri net that may reach deadlocks, a quiescent basis coverability graph is established to verify the diagnosability of the considered system. This procedure employs a deterministic finite state automaton, called an extended verifier, derived from the proposed quiescent basis coverability graph. It is shown that an unbounded Petri net is diagnosable if and only if the verifier does not contain a class of cycles, called repetitive $F$ -cycles. This result also provides necessary and sufficient conditions for diagnosability enforcement by developing an online supervisor. Further, the designed supervisor is maximally permissive and also circumvents a plant entering deadlocks by firing non-fault sequences. Examples are presented to demonstrate the proposed method. Note to Practitioners-Fault diagnosis and diagnosability enforcement are critical for the development and operation of highly automated systems covering computer-integrated production processes, intelligent traffic, computer and communication networks, smart gird, etc. This work touches upon this problem from the perspective of discrete event systems that are modeled with unbounded labeled Petri nets. The feasibility and applicability of the reported method stem from the usage of a structurally compact representation of a considered plant such that the computational cost of a real-world system is acceptable. The graphical representation of Petri nets as well as the proposed quiescent basis coverability graph make the method easy to use and manipulate. Moreover the sufficient and necessary conditions of diagnosability enforcement can

关键词： Petri nets System recovery Fault diagnosis Automation Automata Discrete-event systems Polynomials Mechanical engineering Firing computational modeling Unbounded Petri net fault diagnosis diagnosability enforcement discrete event system

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Clustering and Artificial Intelligence-based Prediction of Ecologically Sustainable Species Introductions

IAENG International Journal of Computer Science

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IAENG international Journal of computer science 2025年第4期52卷 1159-1168页

作者： Liu, Shuqiao Zhang, Zhao Zhou, Hongyan Chen, Xue-Bo School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan114051 China

There is a growing interest in sustainable ecosystem development, which includes methods such as scientific modeling, environmental assessment, and development forecasting and planning. However, due to insufficient survey data in many current development areas, development progress is delayed and stagnant. To address this situation, this paper proposes a SWOT-TOPSIS-K-Means (STK) data analysis and evaluation model to analyze ecological factors, which can realize a comprehensive and complete data analysis with fewer samples. Decision tree (DT), random forest (RF), and multilayer perceptron (MLP) neural network models were constructed from the results of this analysis, and statistical tests such as r-squared, mean absolute error, and cross-validation are used to further confirm the performance efficiency of the computational prediction models to provide real-time prediction research solutions. For this purpose, data from research scholars on species introduction in ecosystem development were selected for testing. The results show that the proposed assessment model and modeling results satisfy all accuracy-related acceptance requirements. Among them, MLP is better than DT and RF. In summary, the STK assessment model and the MLP prediction model can provide a basis for the selection and development of ecological factors. © (2025), (international Association of Engineers). All rights reserved.

关键词： Prediction models

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Deep learning for deepfake detection: Scientific landscape and future directions 4th

Deep learning for deepfake detection: Scientific landscape a...

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4th international Conference on computational Methods in science and technology, ICCMST 2024

作者： Dhiman, Pummy Kaur, Amandeep Sharma, Dilip Kumar Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Engineering and Application GLA University Mathura India

ISBN: (纸本)9781032911571

In today’s digital age, technology has advanced to the point where it is difficult to distinguish be-tween genuine and forged media content. It was intended to be used for entertainment, but it is now being used to deceive people and create biasness, which can lead to disastrous situations. The goal of this bibliometric study is to provide scientific mapping on the role of deep learning in deepfake detection published online. Scopus and VOSviewer are used to create a concept map of 128 articles. Additionally, future directions for research are suggested. © 2025 the Author(s).

关键词： Fake detection

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