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Intellectual disabilities and programming: Improving computational thinking-based problem solving

EDUCATION AND INFORMATION TECHNOLOGIES 2025年 1-41页

作者： Kim, Mijeong Kim, Jamee Lee, Wongyu Korea Univ Grad Sch Dept Comp Sci & Engn 145 Anam Ro Seoul South Korea Korea Univ Grad Sch Educ Major Comp Sci Educ 145 Anam Ro Seoul South Korea

In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based problem-solving skills, specifically among students with intellectual disabilities, is scant. Therefore, this study analyzed the improvement of CT-based problem-solving skills through programming education tailored to students with mild intellectual disabilities in an inclusive educational environment, using evaluation tools that reflect the multidimensional aspects of CT. The study involved 4 students with intellectual disabilities and 9 students without intellectual disabilities.. A customized programming education course, comprising 6 sessions, was designed based on a Universal Design for Learning. Additionally, a pre-posttest consisting of 14 items was developed to evaluate multidimensional CT-based problem-solving skills. The results of the study indicated that the improvement in CT-based problem-solving skills during the stages of problem understanding and algorithm representation was limited. However, significant improvements were observed during the programming and debugging stages among most participants. The findings underscore the necessity of customized programming education for students with intellectual disabilities, and highlight the need for individualized education to address specific challenges faced in programming education. This study is significant in providing foundational data to understand the educational needs and characteristics of these students, aiming to enhance practical applicability in educational settings.

关键词： Intellectual disabilities Computational thinking programming Problem-solving skills Universal Design for Learning

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Solving an Integrated Project Portfolio Selection and Contractor Selection Problem: Fuzzy Goal programming Based on Fuzzy Preference Relations

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FUZZY INFORMATION AND ENGINEERING 2025年第1期17卷 75-107页

作者： Zahedirad, Mostafa Khalili-Damghani, Kaveh Ghezavati, Vahidreza Komijan, Alireza Rashidi Islamic Azad Univ Dept Ind Engn South Tehran Branch Tehran *** Iran Islamic Azad Univ Dept Ind Engn Sci & Res Branch Tehran *** Iran

Several factors affect the flexibility and the complexity of the project selection and the contractor selection problems. Project portfolio managers are expected to select the best combination of projects and contractors considering multiple conflicting objectives in a multi-period planning horizon. In this paper, we propose an integrated project portfolio optimization and contractor selection problem. The problem is modeled through a multi-objective Mixed Integer Linear programming (MILP) model. Three solution approaches including Goal programming (GP), Fuzzy Goal programming (FGP), and fuzzy goal programming considering a fuzzy preference relationship are proposed. All solution approaches have been applied to a real case. The computational results show the out performance of FGP considering fuzzy relations. The time complexity of the proposed models in the sense of the relation of CPU time and the number constraints and variables of the models were discussed.

关键词： Integer programming Computational modeling programming Planning Mixed integer linear programming Complexity theory Time complexity Portfolios Optimization project selection contractor selection multi-objective mixed integer programming goal programming fuzzy goal programming fuzzy preference relation

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Facilitating Student's Learning Transfer in a Database programming Class 2025

Facilitating Student's Learning Transfer in a Database Progr...

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56th Technical Symposium on Computer Science Education

作者： Zhou, Yuzhe Magana, Alejandra J. Li, Tianyi Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9798400705328

Transferring programming skills learned in the classroom to diverse real-world scenarios is both essential and challenging in computing education. This experience report describes an approach to facilitate learning transfer by fostering adaptive expertise. Students were engaged in co-creating contextualized worked-out examples, including step-by-step solutions. Through three homework assignments in a Spring 2023 database programming course, we observed substantial improvements, where students generated detailed and accurate solutions and enriched their problem-solving contexts from simple phrases to detailed stories, drawn from 17 real-life scenarios. Our results also suggest that the peer assessment process cultivated a supportive learning environment and fostered adaptive expertise. We discuss the lessons learned and draw pedagogical implications for integrating student-generated contextualized materials in other programming courses.

关键词： Learning Transfer Adaptive Expertise programming Contextualization Self-Explanation

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Future music therapy programming and research for adults with substance use disorders: A reflexive thematic analysis of service user recommendations

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NORDIC JOURNAL OF MUSIC THERAPY 2025年第2期34卷 105-124页

作者： Silverman, Michael J. Levy, Elijah Y. Univ Minnesota Twin Cities UMN Sch Mus Minneapolis MN 55455 USA

IntroductionMusic therapy (MT) can be beneficial regarding craving, motivation, and treatment readiness for adults with substance use conditions (SUC). However, there is a lack of literature investigating service users' preferences and recommendations regarding MT programming and research. Informed by the recovery movement and evidence-based practice, the purpose of this study was to understand the preferences and recommendations for future MT programming and research of adults with *** 1 provided 24 group recreational MT and songwriting sessions to adults with SUC in a detoxification unit. Author 2 then individually interviewed 46 participants who volunteered to share their perspectives and recommendations regarding future music therapy programming and research. We used an inductive approach to reflexive thematic analysis to analyze data and had a music therapist provide trustworthiness to ensure our findings were *** organized 12 subthemes into four major themes that described participants' preferences and recommendations for future MT programming and research for people with SUC: Unit factors;The holistic nature of addiction;MT factors;and Research factors. Findings provided situated context regarding recommendations for MT programming, what to investigate, and how to best conduct the *** participants had the lived experience of a SUC and had experienced MT, their recommendations can provide a framework for MT programming and different methods for how to conduct MT research. Implications, limitations, and suggestions for future research are provided.

关键词： Addiction substance use music therapy future research qualitative, interpretivist programming

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Exploring pedagogies, opportunities and challenges of teaching and learning programming in business school

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JOURNAL OF INTERNATIONAL EDUCATION IN BUSINESS 2025年第1期18卷 26-46页

作者： Luo, Xiaojun Adelopo, Ismail Univ West England Bristol Business Sch Dept Accounting Finance & Econ Bristol England

PurposeThis study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and ***/methodology/approachBased on a body of theories, an interdisciplinary pedagogy is developed and tested for programming education in a business context. Meanwhile, based on the unified theory of acceptance and use of technology, the authors used observation study and thematic analysis to explore opportunities, challenges and future improvements associated with this interdisciplinary *** developed pedagogy includes integrating humanism and construction theory, problem-based learning, cognitive development, active instructional strategies, synergy of individual and group programming tasks and creating an encouraging and inclusive learning environment. This study shows that business students perceive this novel pedagogy as highly valuable because it enhances their logical thinking and problem-solving abilities while giving them a sense of accomplishment. Although students face challenges in data preprocessing, error handling and translating theoretical knowledge, they find it useful to review teaching materials, seek peer support and learn independently through online resources. Further improvements in pedagogy include incorporating collaborative code reviews, using shared documents for troubleshooting and grouping students based on their prior programming *** implicationsThis interdisciplinary pedagogy can guide business schools to improve the quality of programming-related modules, enhance students' performance and prepare them for future ***/valueThis is the first interdisciplinary study investigating teaching programming in a business context.

关键词： programming Teaching and learning Interdisciplinary pedagogy Computer science Business school UTAUT

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Scaffolding self-regulation in project-based programming learning through online collaborative diaries to promote computational thinking

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EDUCATION AND INFORMATION TECHNOLOGIES 2025年 1-25页

作者： Gu, Peidi Wu, Jiaming Cheng, Zui Xia, Yu Cheng, Miaoting Dong, Yan Beijing Normal Univ Coll Educ Future Zhuhai 519087 Guangdong Peoples R China Beijing Normal Univ Fac Educ 19 Xinjiekou Outer St Beijing 100875 Peoples R China Shenzhen Univ Fac Educ Shenzhen Peoples R China Emporia State Univ Sch Lib & Informat Management Emporia KS USA

Teaching computational thinking skills to novice college students via programming poses considerable challenges. It involves learning programming language syntax and commands, along with fostering higher-order skills crucial for both computational thinking proficiency and future careers. To address this, we proposed a pedagogical approach integrating project-based learning with self-regulated learning in a C programming course. Guided by the higher-order computational thinking framework, this quasi-experimental study enrolled 173 students divided into three groups, a group with project-based learning design alone, a group with both project-based learning design and self-regulated learning scaffolding, and a control group with traditional teacher centered teaching. One-way analysis of covariance results showed the group with both project-based learning design and self-regulated learning scaffolding presented the most advancement of problem-solving and metacognitive skills. Paired samples t-tests showed this group also displayed the most significant improvements in computational thinking tendency and other higher-order skills. While the students' cognitive knowledge gain in the group with both pedagogical supports didn't surpass students of the control group, it did outperform students from the group with project-based learning design alone. Overall, our findings supported the effectiveness of this integrated method in boosting computational thinking and other higher-order skills in novice programming students. This warranted further research to refine and enhance the proposed pedagogical strategy.

关键词： Computational thinking Project-based learning Self-regulated learning programming Higher education

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A Comprehensive Review of Mojo: A High-Performance programming Language 6

A Comprehensive Review of Mojo: A High-Performance Programmi...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Akre, Parth Dhananjay Pacharaney, Utkarsha Department of Artificial Intelligence and Data Science Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Maharashtra Wardha442001 India

ISBN: (纸本)9798331522667

As artificial intelligence continues to advance at an unprecedented pace, the selection of programming languages significantly affects development processes, workflows, and outcomes. Mojo, a novel programming language, has gained attention through its integration of Python-like syntax, Rust-inspired safety features, and superior performance characteristics. This paper evaluates Mojo across four critical dimensions: distinctive features, performance metrics, ecosystem maturity, and practical applications, while examining potential adoption barriers. Positioned at the intersection of high-level programming simplicity and low-level performance optimization, Mojo demonstrates particular utility for artificial intelligence developers requiring both flexibility and computational efficiency. Through analysis of prominent libraries, including Endia, Lightbug HTTP, Basalt, and ***, this study examines Mojo's capabilities and limitations. By presenting a comparative analysis of Mojo's features, emerging ecosystem, and applicability to artificial intelligence development, this research addresses the current literature gap and provides substantive insights into this emerging programming language. © 2025 IEEE.

关键词： Aritficial Intelligence CUDA Mojo programming Python Rust

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programming for the Next Generation: Transitioning from Traditional Models to Large Language Models in Coding Education for Kids

Programming for the Next Generation: Transitioning from Trad...

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International Conference on Advancements in Computational Sciences (ICACS)

作者： Zainab Rafique Muhammad Wasim Alina Ali Dept. of Computer Science University of Management and Technology (Sialkot Campus) Lahore Pakistan

ISBN: (数字)9798331533038

ISBN: (纸本)9798331533045

In an increasingly tech-based world, the integration of programming education at a global scale plays a crucial role in equipping students for the future. programming languages such as Scratch, Alice, and Blockly have been available for some time and have effectively used visual and intuitive interfaces in introducing beginners to basic concepts in coding. However, with the emergence of Large Language Models like GPT-4, the vision of programming education is to evolve into real-time, contextual support and personalized feedback that makes them understand even better, improves problem-solving skills, and increases engagement. The synergy between blocks and LLMs facilitates an accessible, interactive, and highly supportive environment for learning among children. In this paper, we critically analyze block-based programming and LLMs to determine which offers a more advanced and impactful approach to the programming education of children. This review illustrates how these technologies supplement and compete with each other, shaping the future landscape of programming education by equipping the next generation with critical technological skills. We highlight the ethical concerns that might arise for LLMs. We point out how LLMs may adopt several strategies to address and counter such ethical challenges.

关键词： Ethics Visualization Large language models Education programming Real-time systems Encoding Problem-solving programming profession Next generation networking

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programming and Mapping for Mixed Heterogeneous Devices: The Case of Optical Flow

Programming and Mapping for Mixed Heterogeneous Devices: The...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Sergio Alonso Pascual Arturo Gonzalez-Escribano Departamento de Informática Universidad de Valladolid. ETSII Valladolid Spain

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Current parallel systems are increasingly heterogeneous, mixing devices of different types and computing capabilities. Exploiting multiple different devices for the same application continues to be a challenge that ranges from technical problems related to synchronizing and communicating diverse devices to problems of load distribution and flexibility to adjust the computation to the platform resources. In this work, we study the problem of using and extending a heterogeneous portability layer to program and adapt HSOpticalFlow to heterogeneous platforms. HSOpticalFlow is a streaming application to estimate the apparent movement of objects in a sequence of images. It is a simple but characteristic example of the structure of applications based on multilevel ILS (Iterative Loop Stencil), also known as multi-grid methods, applied to a sequence of inputs. Starting from the original CUDA reference code, we present a methodology and programming techniques based on the Controller programming model to implement it as a pipeline among multiple devices. We discuss a technique to determine a proper work partition and mapping for a set of devices. This allows for building very efficient parallel solutions, using similar devices or taking advantage of devices with lower computing power, to reduce the load and increase the productivity of more powerful ones. We present the results of an experimental study using several GPUs of different vendors, architectures, and generations, showing that this solution allows combinations of devices to be efficiently exploited to improve performance. Specifically, the results include speedups of 1.91x using two NVIDIA A100 GPUs and 1.21x using one NVIDIA V100 GPU and one AMD WX9100 GPU, which is about $3 x$ slower than the NVIDIA GPU for this application.

关键词： Productivity Performance evaluation Computational modeling Pipelines Graphics processing units Computer architecture programming Streaming media Optical flow Tuning

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programming Variational Quantum Circuits with Quantum-Train Agent

Programming Variational Quantum Circuits with Quantum-Train ...

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Quantum Communications, Networking, and Computing (QCNC), International Conference on

作者： Chen-Yu Liu Samuel Yen-Chi Chen Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Hon Hai (Foxconn) Research Institute Taipei Taiwan Wells Fargo New York NY USA Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Quantum Information Center Chung Yuan Christian University Taoyuan City Taiwan Master Program in Intelligent Computing and Big Data Chung Yuan Christian University Taoyuan City Taiwan

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

This study introduces the Quantum-Train Quantum Fast Weight Programmer (QT-QFWP) framework, enabling efficient and scalable programming of variational quantum circuits (VQCs) through quantum-driven parameter updates for the classical slow programmer controlling the fast programmer VQC. By optimizing quantum and classical parameter management, QT-QFWP significantly reduces parameters (by 70–90%) compared to Quantum Long Short-Term Memory (QLSTM) and Quantum Fast Weight Programmer (QFWP) while maintaining accuracy. Benchmarking on time-series tasks—including Damped Simple Harmonic Motion (SHM), NARMA5, and Simulated Gravitational Waves (GW)—demonstrates superior efficiency and predictive accuracy. QT-QFWP is particularly advantageous for near-term quantum systems, addressing qubit and gate fidelity constraints, enhancing VQC deployment in time-sensitive applications, and expanding quantum computing’s role in machine learning.

关键词： Quantum system Accuracy Computational modeling Qubit Neural networks programming Predictive models Quantum circuit Physics Long short term memory

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