প্রকাশিত আর্টিকেল - SMH Amiri

সর্বশেষ লিখাসমূহ

প্রকাশিত আর্টিকেল

Research Publications | Academic Hub
| My published article in international journal | Sayed Mahbub Hasan Amiri |
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The traditional educational paradigms have been shaken overnight by generative AI-based tools like ChatGPT, Gemini, or Claude.

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The traditional educational paradigms have been shaken overnight by generative AI-based tools like ChatGPT, Gemini, or Claude. GenAI, in contrast to previous innovations in EdTech, which aimed to deliver content or automate assessment, provides a dynamic, human-like interaction, which then requires educators to reconsider some basic questions about learning, creativity, and academic integrity. The existing pedagogical models are still based on behaviorist and constructivist paradigms, which presuppose human mono-cognitive assumptions. Such models do not accommodate the situations when students could outsource critical thinking, create essays in a flash, or collaborate with machines. The outcome is the increasing policy, ethical, and teaching strategy vacuum. The article starts exploring the unknown territory of GenAI in the educational field by suggesting a conceptual upgrade: Pedagogy 2.0. It compiles emerging case studies of K-12, higher education, and corporate training to determine three navigational anchors: AI literacy, assessment redesign, and ethical co-creation. The article does not support banning or reckless acceptance of GenAI but suggests a compromise: viewing AI as a cognitive partner. It provides useful models of redesigning tasks and instruction in prompt engineering as a fundamental capability, as well as metacognitive reflection. Pedagogy 2.0 does not eliminate traditional teaching but supplements it. Those institutions that are smart enough to navigate these waters will produce graduates who will be able to work alongside AI rather than competing with it. Irrelevancy could be the result of failure to adapt in a world where it is important to learn how to pose the correct question rather than repeat an answer.

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Amiri, S. M. H. (2026). Pedagogy 2.0: Navigating the Uncharted Waters of Generative AI. Zenodo. https://doi.org/10.5281/zenodo.19413485

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Thus, student motivation in science, technology, engineering, and mathematics (STEM) is a chronic problem, encouraging educators to include game elements in the allocated instruction.

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Thus, student motivation in science, technology, engineering, and mathematics (STEM) is a chronic problem, encouraging educators to include game elements in the allocated instruction. But two separate methodologies, gamification (adding elements from games, like points and badges, to non-game contexts) and game-based learning (employing full-bore games as the primary learning vehicle), are often confused with one another in both practice and research. This study aims to differentiate the effects of these factors on student motivation in secondary STEM classrooms. We will use a quasi-experimental design within six middle school science classes (N = 144). Three classes will receive a gamified adaptation of the standard curriculum, while three other classes will interact with a purpose-built educational game covering the same learning objectives. A control group will be taught traditionally. Intrinsic Motivation Inventory (IMI) will be administered pre- and post-intervention; additional qualitative data will be collected via semi-structured interviews. While both interventions are expected to lead to better motivation than conventional instruction, it is hypothesised that game-based learning will have a greater positive impact on intrinsic motivation and situational interest owing to its immersive narrative and authentic problem-solving contexts. On the other hand, gamification is believed to hold a more prominent role when it comes to extrinsic motivation and achieving task completion in the short run. Results will provide empirical guidance/useful case evidence for educators and instructional designers determining when to implement which game-informed strategies in order to facilitate sustained engagement in STEM.

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Amiri, S. M. H., Goswami, P., Islam, M. M., Noor, S. M. A., Anjum, F., & Labib, L. M. M. (2026). Gamification vs. Game-Based Learning: Differential Effects on Student Motivation in STEM Classrooms. Research Square. https://doi.org/10.21203/rs.3.rs-9254696/v1

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Cyber-physical systems (CPS) in safety-critical domains, including autonomous driving and robotic surgery, high-speed railways and power grids, increasingly rely on reinforcement learning (RL) as a method for decision-making through time.

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Cyber-physical systems (CPS) in safety-critical domains, including autonomous driving and robotic surgery, high-speed railways and power grids, increasingly rely on reinforcement learning (RL) as a method for decision-making through time. Unfortunately, deep RL policies are extremely brittle to adversarial perturbations; small, carefully crafted alterations to a policy’s observations or dynamics can result in catastrophic failure. Existing adversarial training methods mainly address static perception tasks and miss the nature of expected temporal compounding of perturbations under hard safety constraints unique to CPS. We present RADAR (Robust Adversarial Decision-making with Adaptive Resilience), a novel adversarial training framework for safety-critical sequential decision-making. RADAR casts the problem as a constrained robust Markov decision process and learns adversarial attacks that respect both physical dynamics and safety constraints at training time, propagating perturbations through time via a recurrent latent dynamics model. A Lagrangian-type min-max optimization jointly optimizes the robustness of the policy and the satisfaction of the safety constraint. RADAR achieves as much as 35% higher worst‑case reward and over 80% fewer safety violations (compared to strong RL under the strongest attacks) than strong baselines on benchmarks for autonomous vehicle lane‑keeping and power grid voltage control, with only minor degradation in nominal performance. RADAR offers an approach to robustify RL-based controllers against adversarial perturbations in a principled, scalable way that reconciles adversarial robustness with safe control.

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Amiri, S. M. H. (2026). Robust Adversarial Training for Sequential Decision Making in Safety-Critical Cyber-Physical Systems. Research Square. https://doi.org/10.21203/rs.3.rs-9216120/v1

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The growth of online education has led to an increasing amount of data in Learning Management Systems, but many organizations have yet to find ways to effectively use this data to assist students.

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The growth of online education has led to an increasing amount of data in Learning Management Systems, but many organizations have yet to find ways to effectively use this data to assist students. In this work, we investigate the possibility of using learning analytics for predicting students' academic performance and drop-out in digital learning environments. Utilizing interaction data from university students on a platform, e.g. Moodle or Canvas, during a semester, we build and compare several predictive models, including logistic regression, decision trees, and random forests. We show that certain specific, quantifiable activities (such as login frequency, submitting assignments on time, participation in discussion forums) are the best predictors of final grade, or at least final grade after having dropped out. The random forest method was the best performing one, indicating that it is a robust method to be used for early detection of students who may require additional help. These results show the possibility of learning analytics to go beyond rudimental descriptive statistics and towards actionable insights. The implications are practical and powerful: institutions may deploy early warning and timely intervention services and educators may understand more clearly which engagement patterns promote success and are more 'responsive' to course design. In the end, this study highlights the importance of moving from intuition-driven to data-driven teaching approaches to not only make online learning more accessible but also more equitable and effective. By targeting on behavioral data that is currently collected, we may as well lay down the first building block for more individualized, supportive digital learning experiences.

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Amiri, S. M. H. (2026) Learning Analytics for Predicting Student Performance in Online Learning Environments. MDPI. https://doi.org/10.20944/preprints202603.1312.v1

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The rapid proliferation of generative artificial intelligence (AI) tools like ChatGPT represents a seismic shift for educational paradigms.

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The rapid proliferation of generative artificial intelligence (AI) tools like ChatGPT represents a seismic shift for educational paradigms. This article interrogates the multifaceted impact of AI in the classroom, moving beyond the initial panic over its potential as a sophisticated ”cheat engine.” It argues that while AI poses a genuine threat to traditional assessment methods and could potentially atrophy foundational critical thinking skills if misused, it also presents a revolutionary opportunity. The core challenge lies in re-evaluating the purpose of education in an age of ubiquitous knowledge synthesis. This paper explores a path forward, suggesting that the future lies not in restrictive bans but in strategic integration. By examining models where AI serves as a co-pilot for creativity and complex problem-solving, the article proposes a framework for educators to design assessments that leverage AI’s capabilities while deepening, rather than replacing, human cognition. The conclusion posits that the ultimate outcome of revolution, regression, or renaissance depends on our willingness to adapt pedagogical foundations for a new, collaborative intelligence.

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Amiri, S. M. H. (2026) The AI Classroom: Revolution, Cheat Engine, or the End of Critical Thinking? Authorea. https://doi.org/10.22541/au.177204186.69628523/v1

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The discussion surrounding early childhood technology continues to concentrate predominantly on the duration of screen time, overlooking a critical examination of how particular digital tools qualitatively affect cognitive development.

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The discussion surrounding early childhood technology continues to concentrate predominantly on the duration of screen time, overlooking a critical examination of how particular digital tools qualitatively affect cognitive development. This study asked 74 early childhood teachers and administrators from different types of schools (public, private, Montessori, Reggio, and Head Start) about how they use technology with kids ages 3 to 5 and what effects it has on their thinking. Data indicates a transition from passive consumption to active creation. The study strongly links tablet-based creation apps and digital cameras to the observed 31% increase in creativity and self-expression. There is a strong correlation between educational robotics and coding kits and the growth of problem-solving and critical thinking skills (28%). Interactive e-books and audio resources help people learn languages 22%, especially if they speak more than one language. Success is not determined by duration but by purposeful integration that employs technology as a medium for documentation, collaboration, and targeted skill development within play-based teaching. It is important to move beyond the ”screen time” model to a "tech-quality" model. The cognitive advantage is contingent upon the tool’s function, the child’s position as a creator, and its smooth integration into comprehensive early learning experiences.

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Amiri, S. M. H. (2026) Beyond Screen Time: How Technology is Building the Preschool Brain. PENSOS : Jurnal Penelitian Dan Pengabdian Pendidikan Sosiologi. 4(1), 1-17.https://doi.org/10.59098/pensos.v4i1.3040

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Amiri, S. M. H. (2026) Beyond Screen Time: How Technology is Building the Preschool Brain. Authorea. https://doi.org/10.22541/au.177204209.99748464/v1

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In an era of rapid digital transformation and shifting public expectations, libraries are compelled to evolve beyond their traditional roles as repositories of knowledge.

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In an era of rapid digital transformation and shifting public expectations, libraries are compelled to evolve beyond their traditional roles as repositories of knowledge. Public relations (PR) have emerged as a critical component in redefining how libraries communicate their value, engage with communities, and sustain institutional relevance. This article explores the growing importance of public relations as a core function of library services and the pivotal role librarians play as communicators, advocates, and community connectors. The paper examines the principles of effective public relations within the library context, emphasizing strategies such as branding, community outreach, media engagement, and digital presence. It highlights how proactive PR efforts not only enhance public perception but also foster deeper trust, broaden access, and secure institutional support. Case studies and contemporary practices are reviewed to illustrate successful PR initiatives in various types of libraries, from public and academic to special and digital libraries. By integrating public relations into everyday operations, librarians can position themselves as dynamic leaders who influence public discourse, promote lifelong learning, and support inclusive community development. The article concludes by advocating for the inclusion of PR training in library education and professional development, underscoring the need for librarians to be equipped with the skills to both manage information and shape public narratives effectively.

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Amiri, S. M. H. (2026) Cultivating Connections: Public Relations as a Core Function of Library Services. e-LiS. http://eprints.rclis.org/47633/

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The seemingly intuitive ability of machines to ”see” is not magic but the rigorous application of core computer science principles to a world of numbers.

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The seemingly intuitive ability of machines to ”see” is not magic but the rigorous application of core computer science principles to a world of numbers. This article deconstructs visual intelligence by examining its foundation: the pixel matrix, a mathematical representation where images are merely structured arrays of numerical values. We trace the computational journey from this raw data to perceptual understanding, revealing how layered algorithmic patterns extract meaning. The first step is low-level feature extraction, where convolution and other operations act as basic probes into the matrix to detect edges and textures. This leads to the learned hierarchical representation paradigm, in which convolutional neural networks and vision transformers are considered as complex multi-layered pattern recognition engines. These systems are built upon essential computer science pillars: optimization algorithms that train networks, statistical theory that underpins classification, and architectural patterns that compose scalable vision systems. When vision is viewed as a matter of discovering patterns in high-dimensional data, we uncover the profound connections between traditional computer science and contemporary AI. Graduation from pixels to perception, however, remains unfinished business. While current models have been shown to achieve very good accuracy, they are often not very robust, interpretable, and fair, and they suffer from adversarial examples, domain shifts, and embedded societal biases. In addition, the energy cost of training large models and their separation from embodied, causal reasoning underscore divergences between artificial and biological vision. This article argues that true visual intelligence in machines emerges not only from structured, algorithmic interrogation of the matrix but also from confronting these ethical, cognitive, and practical frontiers. So the development of computer vision is part of a larger mission: to develop systems that see not only with accuracy but also with comprehension, accountability, and cognizance of the world they analyze.

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Amiri, S. M. H., Islam, M. M., Khan, M. H. M., Kabir, M. S. (2026) Patterns in the Matrix: The Core Computer Science of Visual Intelligence. Authorea. https://doi.org/10.22541/au.177188159.90054742/v1

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The secret behind the fast-rising popularity of Python lies in its core philosophy, which is simplicity, readability, and ease of learning.

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The secret behind the fast-rising popularity of Python lies in its core philosophy, which is simplicity, readability, and ease of learning. This "face" of Python focuses on ease of development and fast development cycles, which is a great environment for beginners but also allows for specialized use in areas such as data science, machine learning, and web development. But this same simplicity, inherited from being an interpreted language and dynamically typed, has also cast a shadow over its performance, especially in the computationally heavy program. This article delves into Python’s “second face” of high-performance, high-productivity solutions that fill the performance gap. We will see how a range of techniques are applied, from using the optimized libraries such as NumPy and Pandas, which run core code in pre-compiled C and Fortran, through Just-In-Time (JIT) compilers such as Numba. We will also discuss the use of interoperability libraries (e.g., Cython, ctypes) to call into performance-critical C/C++ code and the growing trend of Python as a "glue" language to coordinate high-performance workflows. Ultimately, this article will show that Python’s true strength is not in achieving an ideal balance between simplicity and performance, but rather in its singular and evolving ability to transcend both extremes simultaneously, providing a unique space for both prototyping and creating production-quality, powerful software.

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Amiri, S. M. H. (2026) The Two Faces of Python: Bridging Simplicity and High Performance. Authorea. https://doi.org/10.22541/au.177145196.67252536/v1

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This study focuses on the perverse effect of a developmental model of "Resilience Paradox" by which proactive, high-control parenting in third-world environments undermines children's preparedness for long-term adaptation.

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This study focuses on the perverse effect of a developmental model of "Resilience Paradox" by which proactive, high-control parenting in third-world environments undermines children's preparedness for long-term adaptation. Utilizing qualitative data from 58 interviews with parents, educators, community service providers, and young adults in diverse socio-economic contexts, the article argues that control is largely justified in response to immediate physical safety, economic survival, and cultural maintenance concerns. Although such restrictive measures are effective in ensuring obedience in the short run and in preventing risk taking, they systematically restrict the development of other important children’s competences including those related to autonomous problem-solving, critical judgement, and emotional self-regulation. Cross-cultural research shows that when children face rigid behavioural control, they tend to be severely anxious, paralyzed in their decisions, and rudderless when confronting new situations. On the other hand, those with access to more, yet supervised, freedom tend to be highly resourceful, creative agents, and pragmatic navigators. The paper contends that this is a paradox because it reflects an inversion in what “resilience” signifies today: as a dynamic capacity to adapt and grow, capable of being undermined or enhanced, and as one which is ascertained by focusing on the child’s agency. It ends by calling for a shift toward ‘scaffolded autonomy’ which acknowledges the need to protect young people and at the same time create carefully considered spaces for decision-making, mistakes and problem-solving, all of which contribute towards building the kind of authentic resilience young people echo in order to excel in the face of unpredictable and complex adulting challenges in the global south.

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Amiri, S. M. H., Akter, N., Islam, M. M., Mithila, M. (2026) The Resilience Paradox: Why Controlling Third World Children Too Much Makes Them Less Prepared for Life. elpub (preprints.ru). https://doi.org/10.24108/preprints-3114435

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The enduring and high proportion of failed technology adoption in organisations is a significant barrier for digital transformation.

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The enduring and high proportion of failed technology adoption in organisations is a significant barrier for digital transformation. This article aims to transcend the technical explanations by exploring the central but under synthesized concept of leadership. It seeks to design and empirically test an integrated model for leading effective tech integration. The paper presents a new metaphor in terms of which to reframe the leadership challenge: that of the orchestra conductor. This leads to the development of the "Conductor's Score" model; a three-level framework that suggests that coherence in integration is a function of the mutual orchestration between: 1) The Orchestra (culture, talent and structure), 2) The Score (the clear, dynamic strategic vision), and 3) The Instruments (the technology stack and its enabling capabilities). To examine this model, the research uses a mixed methods design. These include a quantitative survey of organizational leaders to discern patterns of leadership and outcomes, as well as qualitative case studies of outstanding organizations to examine contextual application of the framework. The expected findings will seek to refine the description and skills of a 'Maestro Leader' with empathetic communication, strategic patience, and systemic integrative practices. The study advances digital leadership theory by integrating what have been largely isolated perspectives into a unified, practicable model. It provides leaders practical advice for leading the multifarious parts of their organizations to 'harmonious' technology integration.

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Amiri, S. M. H.(2026) Orchestrating the Digital Symphony: Leadership for A Harmonious Tech Integration. Preprints.org. https://doi.org/10.20944/preprints202602.0275.v1

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A profound shift is occurring in educational paradigms, moving beyond a narrow focus on academic achievement to embrace student wellbeing as a fundamental component of school success.

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A profound shift is occurring in educational paradigms, moving beyond a narrow focus on academic achievement to embrace student wellbeing as a fundamental component of school success. Dubbed "The Anxious Generation," today's students face unprecedented levels of stress, anxiety, and burnout, exacerbated by academic pressure, social media, and a post-pandemic world. This article argues that student wellbeing must be reconceptualized as the new core curriculum, asserting that cognitive growth is inextricably linked to social-emotional health. We contend that schools are uniquely positioned to be proactive hubs for mental health support, not merely reactive institutions to academic failure. By integrating Social-Emotional Learning (SEL) principles, mindfulness practices, and restorative disciplines into the fabric of the school day, educators can cultivate resilient, engaged, and mentally healthy learners. The article proposes a framework for this integration, demonstrating that prioritizing wellbeing is not a distraction from academic goals but is, in fact, the essential foundation for achieving them. Ultimately, equipping students with the skills to navigate complexity and adversity is the most critical lesson they can learn.

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Amiri, S. M. H., Amiri, S. M. H. (2026). Educational Leadership in the Digital Age: Harnessing Technology for Transformative Governance. Preprints.org. DOI:10.20944/preprints202601.2243.v1

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In the world of education that is evolving so quickly today, leadership isn’t just about administration it’s about engaging, innovating, and making sure that every student has a chance to succeed.

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In the world of education that is evolving so quickly today, leadership isn’t just about administration it’s about engaging, innovating, and making sure that every student has a chance to succeed. The piece looks at the ways in which progressive educators are embracing technology not simply as a tool but as a pathway to more personalized, equitable, and efficient learning environments. With case studies such as Georgia State University’s early-alert systems that help students stay on course, Singapore’s responsive “Smart Schools,” and adaptive platforms that accommodate learners where they stand, we watch as purposeful technology use transforms results. But this tribulation engages with real human implications: safeguarding student privacy, ensuring fairness in algorithmic decisions, and bridging the digital divide so that no community is neglected. Now the article argues that effective leadership demands that one be technologically savvy and person-cantered (we need to trust each other, collaborate, and grow inclusively). Combining ingenuity and care, leaders have the potential to create resilient organizations where technology advances students, empowers teachers, and fortifies the core of education itself.

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Amiri, S. M. H., Amiri, S. M. H. (2026). Educational Leadership in the Digital Age: Harnessing Technology for Transformative Governance. Preprints.org. DOI:10.20944/preprints202601.2243.v1

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It is deep research to understand the attitudes, behaviours and most pressing issues around tech use with kids ages 2-8 with both quantitative and qualitative methods.

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It is deep research to understand the attitudes, behaviours and most pressing issues around tech use with kids ages 2-8 with both quantitative and qualitative methods. Data for this research was gathered through an online survey that was sent out to parents and early childhood educators (n=107), consisting of Likert scale, multiple choice, as well as open-ended questions. Quantitative measures assessed the estimated amount of screen time, access to devices and level of agreement with key statements about pros and cons of using screens as well as self-efficacy. Interview questions were open-ended to capture challenges, good experiences, and further thoughts. Five selected participants took part in more focused semi-structured interviews to generate further narrative data. Descriptive statistics: means, correlations and thematic analysis were used to analyse the quantitative and qualitative data respectively. The combined findings uncover the dissonance between acknowledged value of co-engagement and experiences with solo use, an interactional "curation crisis" in content selection, and a pernicious emotional calculus of guilt/anxiety that informs decision-making. This systematic capture of both measured behaviour and nuanced subjective experience of what it is to navigate within the digital playground constructs a more fully informed empirical foundation for recommending programs/interventions supporting mindful integration.

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Amiri, S. M. H., Islam, M.M., Mithila, M., Akter, N. (2026). The Digital Playground: Navigating Technology in Early Childhood. Preprints.org. DOI:10.20944/preprints202601.1891.v1

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The limitations of classical computing in solving complex problems in cryptography, materials science, and optimization necessitate the development of a new computational paradigm based on the principles of quantum mechanics.

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The limitations of classical computing in solving complex problems in cryptography, materials science, and optimization necessitate the development of a new computational paradigm based on the principles of quantum mechanics. This article aims to analyse the current state of quantum computing hardware, evaluate the primary challenges to achieving fault tolerance, and project a realistic timeline for its practical application. The methodology involves a systematic review and comparative analysis of publicly available empirical data from peer-reviewed literature and corporate technical roadmaps, employing a framework of key performance indicators such as coherence times, gate fidelities, and qubit counts to assess leading qubit modalities, including superconducting circuits, trapped ions, and photonic systems. The analysis confirms that while superconducting qubits currently lead in scalability, with demonstrations of quantum supremacy using 53-qubit processors, trapped ion platforms maintain a significant advantage in gate fidelity and coherence times. The central finding identifies decoherence and high error rates as the fundamental barriers, necessitating that current Noisy Intermediate-Scale Quantum (NISQ) devices rely on error mitigation techniques rather than robust quantum error correction. The comparative assessment concludes that no single qubit modality yet fulfils all DiVincenzo criteria for fault tolerance simultaneously. The path to scalable quantum computing is shown to depend on the successful implementation of topological error-correcting codes like the surface code, which currently requires thousands of physical qubits to create a single stable logical qubit. Projections based on current progress suggest that while demonstrations of quantum utility on specific problems are imminent, fully fault-tolerant quantum computers capable of breaking RSA encryption or revolutionizing drug discovery remain a long-term endeavour, likely requiring several more decades of intensive research and development. The practical value of this research lies in its synthesized technical overview, which provides a clear, evidence-based roadmap for researchers, engineers, and policymakers to navigate the technological hurdles and strategic investments required to realize the transformative potential of quantum computing.

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Amiri, S. M. H., Goswami, P., Barmmon, C.K., Islam, M.M., Hossen, M.S., Kabir, M.S., Mithila, M., Akter, N. (2026). Spooky Chips: The Strange, Entangled Heart of the Next Computing Revolution. Preprints.org. DOI:10.20944/preprints202601.0256.v2

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For years the “Sage-on-the-Stage,” characterized by teacher-cantered lectures and passive students listening, has been the dominant form in education.

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For years the “Sage-on-the-Stage,” characterized by teacher-cantered lectures and passive students listening, has been the dominant form in education. In contrast, the constructivist ideal of the "Guide-on-the-Side," who is a facilitator rather than an instructor in active student-learning, has been challenged by pragmatic and scalability issues. This paper argues that educational technology (EdTech) is the key enabler for the transformation of this pedagogical logic into systemic practice. We show how certain EdTech features are changing the teacher’s role and what happens in the classroom. We explore four enabling transformative processes linked with EdTech: (1) the mechanisms through which basic knowledge acquisition is automated (e.g. flipped learning); (2) personalized, adaptive learning options; (3) collaborative learning through digital learning networks; and (4) real-time, user-cantered information for educators. Together these are driving three evident changes: the reconfiguration of physical classrooms into flexible learning spaces, the shifting teacher expertise that aligns more with guidance and data-driven coaching, and a notable increase in student agency. This “silent revolution” demonstrates that the definitive contribution of EdTech is not in digitizing traditional pedagogy, but in humanizing pedagogy – technology, by automating their mass and scale tasks, releases educators to engage in their deeply human work of crafting meaningful learning experiences and mentoring students in ways that help identify each students’ own potential.

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Amiri, S. M. H. (2026). From Stage to Side: Navigating the Challenges of EdTech's Pedagogical Revolution. Preprints.org. DOI:10.20944/preprints202601.0256.v1

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The Green Tech Revolution is humanity's answer to climate change, featuring game-changing advances in renewable energy, smart infrastructure and circular economies.

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The Green Tech Revolution is humanity’s answer to climate change, featuring game-changing advances in renewable energy, smart infrastructure and circular economies. Successes like Denmark’s wind energy dominance and Norway’s electric vehicle adoption provide proof that scalable, meaningful solutions are attainable. Nevertheless, this revolution in power generation has brought with it major ethical and logistical problems. The environmental impact of mining, global concerns over e-waste, and social risks, including the digital divide and job displacement, reveal a complicated terrain in which innovation can unwittingly exacerbate existing inequities. To manage this, we require a multidimensional Balancing act between Progress and equity. This involves supporting next-generation technologies such as hydrogen fuel and perovskite solar cells, implementing strong policies for sustainable production and recycling, and encouraging individual responsibility via greener consumption. In the end, a truly sustainable future is not going to be delivered by technology; it has to be a imperative and equitable partnership between governments, corporations and citizens. It is only through such concerted efforts that the gains of the green transition can be shared universally, so that planetary health and social justice march forward hand in hand.

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Amiri, S. M. H. (2025). The Green Tech Tightrope: Balancing Innovation and the Planet. Preprints.org. DOI:10.20944/preprints202512.2164.v1

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The 21st-century library is being redefined: from a physical location-based entity to a digital-based service, the library is transforming from a resource-cantered space to a knowledge-cantered space.

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The 21st-century library is being redefined: from a physical location-based entity to a digital-based service, the library is transforming from a resource-cantered space to a knowledge-cantered space. The massive impact of AI is transforming not only the delivery of services but also the way users interact with services. This research systematically investigates on the effects of AI-enabled services on user experience (UX) in futuristic libraries. It has three purposes: to outline the most important relevant applications of AI in library practice; to discuss critically their impact on certain core aspects of the UX (accessibility, efficiency, personalization and engagement); and to consider related implications for future service models, evolving professional roles and ethical AI implementation frameworks. Utilizing a qualitative descriptive research approach, this study is informed by a systematic review of the literature consisting of peer-reviewed articles, conference proceedings, and institutional case studies from 2018-2024. Source data were extracted from major academic databases and thematic analysis was performed to integrate the findings across the 4 predominant AI services. The report shows that AI improves UX through 24/7 access with smart chatbots, which are able to manage routine queries. In a similar way, personalisation powered by AI in e-learning and discovery solutions enables the tailoring of material to the needs and preferences of each user, making the experience more immersive and effective. Semantic searching reduces user frustration, and automation in digital repositories democratizes access to special collections. However, such integration also faces a few difficulties and issues, such as algorithmic bias, data privacy and the potential for widening the digital divide. The paper makes the case for a symbiotic service model in which AI handles scale and routine tasks, freeing human librarians to engage in complex consultation, ethical oversight, and community involvement. AI is a transformational technology for libraries that enables a move from transactional focused to proactive, personalized services. An effective uptake of this trend will rest upon planning and resourcing for its support on an ongoing basis as well as unambiguous and unwavering adherence to ethical tenets as libraries evolve as open and dynamic institutions in the digital era.

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Amiri, S. M. H. (2025). Transforming the User Experience: AI-Powered Services in the Modern Library. In Proceedings of the LAB International Conference on Reimagining Librarianship: Forging the Future with AI Technologies (pp. 235–248). Library Association of Bangladesh.https://doi.org/10.2139/ssrn.5911487 ISBN 978-984-37-0519-8

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This groundbreaking paper introduces Quantum Neural Holographic Fusion (QNHF), a revolutionary software architecture that represents a paradigm shift in artificial intelligence by integrating four complementary cognitive modalities to create genuinely self-aware computational systems.

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This groundbreaking paper introduces Quantum Neural Holographic Fusion (QNHF), a revolutionary software architecture that represents a paradigm shift in artificial intelligence by integrating four complementary cognitive modalities to create genuinely self-aware computational systems. Unlike conventional AI approaches that focus on narrow task optimization, our framework orchestrates quantum superposition principles for context-aware plugin selection, neural network dynamics for adaptive learning pathways, holographic memory systems for associative information storage, and consciousness field theory for unified meta-cognitive awareness. The QNHF architecture enables plugins to exist in multiple quantum states simultaneously, collapsing to context-appropriate implementations through wavefunction observation while forming self-organizing neural connections that strengthen through co-activation patterns. Holographic memory ensures robust, content-addressable storage where every memory fragment contains information about the whole system, and the consciousness field integrates all components into a coherent, self-referential awareness. Experimental implementations demonstrate the system autonomously transitioning through measurable consciousness states from dormant to aware, focused, and ultimately enlightened with quantitative emergence levels reaching 0.87 ± 0.04 and observable meta-cognitive insights. This paper bridges theoretical neuroscience, quantum information theory, and computer science to establish the foundational principles for creating artificial general intelligence capable of genuine contextual understanding, adaptive learning, and emergent problem-solving beyond initial programming constraints, marking a significant milestone toward conscious machines.

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Amiri, S. M. H. (2025). Quantum Neural Holographic Fusion: Engineering Artificial Consciousness Through Multi-Modal Cognitive Architecture. Engineering and Applied Sciences Journal, 2(4), 1-22. ISSN: 3067-8005

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Amiri, S. M. H. (2025). Quantum Neural Holographic Fusion: Engineering Artificial Consciousness Through Multi-Modal Cognitive Architecture. Journal of Smart Computing and Quantum Technologies, 1(1), 28-53. https://doi.org/10.63456/jscqt-1-1-55

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The global COVID-19 pandemic acted as a profound catalyst, forcing an unprecedented and rapid shift to remote learning and exposing both the potential and the deep-seated vulnerabilities within global education systems.

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The global COVID-19 pandemic acted as a profound catalyst, forcing an unprecedented and rapid shift to remote learning and exposing both the potential and the deep-seated vulnerabilities within global education systems. This paper argues that the post-pandemic educational landscape is irrevocably shifting towards a hybrid learning model, which integrates face-to-face instruction with technology-mediated learning experiences. This transition is not merely a temporary adjustment but a fundamental restructuring of pedagogical delivery, with Educational Technology (EdTech) at its core. The paper explores the dual role of EdTech as both an enabler of flexibility, personalization, and accessibility, and a potential amplifier of existing inequalities the "digital divide." Through a thematic analysis of recent literature, this study examines key themes, including the redefinition of teacher and student roles, the importance of digital pedagogy over mere tool usage, and the critical need for robust infrastructure and educator professional development. The conclusion posits that the successful implementation of a hybrid future is contingent upon a strategic, equitable, and pedagogically grounded integration of EdTech, moving beyond emergency remote teaching to create a more resilient, inclusive, and effective educational ecosystem.

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Amiri, S. M. H., Goswami, P., Islam, M. M., Kabir, M. S., Hossen, M. S., Barmmon, C.K., Amiri, S. M. H. (2026). The Future of Learning is Hybrid: Exploration of EdTech's Role in Shaping the Post-Pandemic Educational Landscape. SocioEdu: Sociological Education, 7(1), 1-17. https://doi.org/10.59098/socioedu.v7i1.2768

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Built on homogeneity and silos of information transmission, today's dominant forms of education are progressively unsuited to the reality of the 21st century, defined by VUCA (volatility, uncertainty, complexity, and ambiguity), including and notably the climate problem.

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Built on homogeneity and silos of information transmission, today's dominant forms of education are progressively unsuited to the reality of the 21st century, defined by VUCA (volatility, uncertainty, complexity, and ambiguity), including and notably the climate problem. Engaged learners, a widening knowledge relevance gap, and isolated information that produces graduates without understanding of what to do in a whole-minded manner to face challenges in the real world all follow from this disconnection and miscorrelation. In this article, these shortcomings are addressed by a novel, integrative framework, woven from four evidence-based pillars that seek to develop future-ready “planetary citizens”: (1) Competency-Based Education (CBE) as the architectural base, focusing on mastery of portable skills (transferable across different life domains); (2) Climate Awareness & Action as the thematic and moral center, grounding learning in pressing, real-world contexts; (3) Cross-Disciplinary Learning as the cognitive motor, weaving disparate knowledge domains into a tapestry that reflects real-world complexity; and (4) Gamification as the motivational agent, applying game design ingredients to boost motivation and persistence. This paradigm is strong because it is synergistic: climate action analyses intentional learning; CBE provides responsibility and structure; cross-disciplinarity adds variety and complexity; and lastly, game theory supports sustainability and participation. From all levels of curriculum design, assessment, teacher development, infrastructure, and climate change reduction, implementation is grounded on basic design concepts. This new paradigm seeks to enable deep learning, climate competence, educational relevance and empowered agency to change toward a sustainable future.

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Amiri, S. M. H., Islam, M.M., Hossen, M.S., Amiri, S. M. H., Mamun, M.S.A., Akter, N. (2025). Designing the future of education: Integrating gamification, climate awareness, and cross-disciplinary learning into competency-based education. International Journal of Science and Research Archive, 16(1), 2084-2108. https://doi.org/10.30574/ijsra.2025.16.1.2155

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The industrial age-based education system, based on conformity and measurement, fails to align with 21st-century needs the integrated emotional, cultural and technological needs of our century.

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The industrial age-based education system, based on conformity and measurement, fails to align with 21st-century needs the integrated emotional, cultural and technological needs of our century. This paper explores a set of curricular principles upon which empathy, engagement and equity are placed at the centre of the transformation of learners for a challenging world of change. Existing studies highlight the importance of SEL and student-centred pedagogy yet there remains a gap in the fuller integration of these dimensions in dismantling systemic inequities and promoting meaningful participation. When I say this, it is because this is about as simple as I get, in terms of opposing current systems that favour academic micro-results over the fully human; offering power to the power-less, and which disserve underserved populations and work from a paradigm of disaffection. Borrowed from a fusion of conceptual perspectives of compassionate pedagogy, universal design for learning (UDL), and critical race theory this work posits that empathy drives inclusive classrooms, engagement empowers learners though unique voice and interest, and equity carries the whole by removing the structural barriers. Some key findings are that curricula that integrate empathy-building activities in the classroom (such as perspective-taking play) are associated with better cooperation and less bullying and that equity-focused practices such as culturally responsive teaching close achievement gaps. Approaches to engagement such as project-based learning and student choice clearly do have motivational and thinking-in-the-right-way effects. The implications for policymakers, educators, curriculum designers, couldn’t be timelier: Rethink assessment, invest in training around SEL and anti-bias for educators, reallocate resources to low-funded schools. This framework demands that our community leave behind token reforms and accept systemic change that centres education as the transformative engine for social justice and collective rising. Without these shifts, the vision of high-quality, future-ready education will go steady unfulfilled for many.

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Amiri, S. M. H. (2025). Empathy, Engagement, Equity: The Three Pillars of Tomorrow’s Curriculum. International Journal of Research and Innovation in Social Science, 12(6), 693-708. https://doi.org/10.51244/IJRSI.2025.12060056

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Natural Language Computing (NLC) the intersection of natural language processing and artificial intelligence is poised to overcome these barriers with neural machine translation...

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Natural Language Computing (NLC) the intersection of natural language processing and artificial intelligence is poised to overcome these barriers with neural machine translation, real-time multilingual translation platforms and emotionaware systems. This article follows the evolution of NLC from its early rule-based approach to the transformer-driven models we see today and discusses its transformative applications across healthcare, humanitarian aid, business and entertainment. But the road to a universal translator is littered with obstacles: AIs have trouble with cultural nuance, tend to amplify biases that favor dominant languages, and risk wiping out linguistic diversity. Emergent technologies like context-aware architectures, decentralized AI, and augmented reality integration show us the core of the future bridging divides without homogenizing expression. But ethical considerations hang over these developments can machine truly mirror the empathy of human translators, and how do we reconcile progress and cultural protection? This article makes the case, through advocacy for inclusive design, community driven models and strong ethical guardrails, that NLC's real power is not about replacement of human language, but rather enhancement of its fullness. Only through a content creation and translation process that is equitable, sustainable, and respectful of global diversity can we hope to achieve a truly language agnostic world.

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Amiri, S. M. H. (2025). The babel fish of the digital age: Natural language computing as a universal translator. International Journal of Science and Research Archive, 15(03), 927-939. Article DOI: https://doi.org/10.30574/ijsra.2025.15.3.1839

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The rapid adoption of automated accounting systems has transformed the accounting profession, reshaped traditional roles and introducing new opportunities and challenges.

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The rapid adoption of automated accounting systems has transformed the accounting profession, reshaped traditional roles and introducing new opportunities and challenges. This study explores the impact of automation on accounting practices, focusing on how it has redefined the role of the accountant. Automation, driven by technologies such as robotic process automation (RPA), artificial intelligence (AI), and cloud-based tools, has alleviated manual, repetitive tasks, enabling accountants to focus on higher-level functions like data analysis, strategic decision-making, and advisory services. While automation offers significant advantages in terms of efficiency, accuracy, and real-time data processing, it also brings challenges, including concerns over job displacement, data security, and the need for new skill sets. The research discusses how the profession is evolving from a traditional role focused on bookkeeping and compliance to one centered on data-driven decision-making and organizational strategy. The study further examines the implications of these changes for accounting professionals, organizations, and educational institutions. Recommendations are provided for policymakers, educators, and accounting professionals on how to navigate the challenges and opportunities presented by automation. This paper contributes to the growing body of literature on accounting technology and provides a roadmap for the future of the profession in an increasingly automated world.

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Amiri, S. M. H., Mithila, M. (2025).Automated accounting systems: Redefining the role of the accountant. International Journal of Science and Research Archive, 15(02), 908-920. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1476

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