Recent papers on critical integrity academic thinking students

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

  1. AI-Based Writing Assistants in Higher Education: Impacts on Student Critical Thinking and Academic Integrity

    2026 · VFAST Transactions on Education and Social Sciences · Qureshi, Sobia

    2026
  2. The Implications of ChatGPT Usage on Students’ Critical Thinking Skills and Academic Integrity

    2026 · Akuntansi dan Teknologi Informasi · Yulianti, Melia, Widiastuty, Erna

    2026
  3. Impact of Generative Artificial Intelligence (ChatGPT) on Students’ Critical Thinking Skills and Academic Integrity in Higher Education

    2026 · Social science review archives. · Yousufzai, Seemeen Umar Khan, Faraz, Zunaira, Abbad, Muhammad Junaid et al.

    2026
  4. Ukrainian as a foreign language: principles of the development of academic integrity and critical thinking among foreign students

    2023 · Teaching languages at higher institutions · Dvorianchykova, Svitlana, Bondarchuk, Julia

    2023
  5. Principles of the development of academic integrity and critical thinking among philology students

    2023 · EDUWEB · Dvorianchykova, Svitlana, Bondarchuk, Julia, Syniavska, Olga et al.

    2023
  6. Because you're worth it! How to inspire academic integrity and critical thinking in students

    2015 · Duo Research Archive (University of Oslo) · Andreassen, Helene N., Låg, Torstein

    2015
  7. # OMEGA SABRINAL ELRAKHAVI ## A Conceptual Framework for Mathematically Stable and Verifiably Safe Super-Intelligence **Document Type:** Conceptual & Strategic Monograph **Version:** 1.0 (Public Release) **Publication Date:** May 3, 2026 **Repository:** Zenodo Open Access **License:** CC BY-NC-ND 4.0 International **Author:** Dr. Mohamed Kamal Arafa El-Rakhavi **ORCID:** 0009-0001-8684-0697 **Affiliation:** International Centre for Advanced Technology Governance **Contact:** [email protected] --- ### 📜 INTELLECTUAL PROPERTY & SCOPE NOTICE This document presents the **conceptual architecture, strategic rationale, and governance framework** of the OMEGA SABRINAL ELRAKHAVI initiative. It is intentionally published without mathematical formulations, hardware blueprints, cryptographic circuit specifications, or algorithmic implementation details. These core technical components are protected under international patent applications and proprietary research agreements. This public release aims to: - Establish academic priority and conceptual transparency - Invite interdisciplinary scholarly dialogue - Outline strategic benefits for national and global stakeholders - Define ethical, governance, and safety standards for deployment Technical specifications, validation protocols, and implementation guidelines are available exclusively under formal Non-Disclosure Agreements (NDAs) and institutional licensing frameworks. --- ### ABSTRACT Contemporary artificial intelligence systems, predominantly based on probabilistic prediction architectures, face fundamental limitations in stability, energy efficiency, and verifiable safety. As autonomous systems approach super-intelligent capabilities, the absence of mathematical guarantees for goal stability, auditability, and physical sustainability poses existential and strategic risks. This monograph introduces **OMEGA SABRINAL ELRAKHAVI**, a conceptual framework that reorients artificial intelligence from statistical prediction to causally grounded, formally verifiable, and physically efficient cognition. The framework rests on six foundational pillars: neuro-symbolic reasoning fusion, mathematically constrained self-improvement, holographic memory architecture, photonic-resistive computing substrates, hierarchical verification protocols, and hardware-anchored corrigibility. Rather than disclosing proprietary algorithms or hardware specifications, this document outlines the conceptual paradigm, comparative advantages over existing architectures, strategic applications for national sovereignty and global challenges, and a phased governance roadmap. The framework is designed to enable safe, stable, and accountable super-intelligence while preserving human agency, environmental sustainability, and democratic oversight. This publication serves as a conceptual reference for policymakers, academic institutions, and ethical AI stakeholders. Technical implementation details remain protected to ensure responsible development, prevent misuse, and maintain strategic integrity. **Keywords:** Super-intelligence safety, AI stability, verifiable AI, neuro-symbolic AI, AI governance, hardware-anchored safety, ethical AI deployment, strategic technology policy. --- ### 1. INTRODUCTION & STRATEGIC CONTEXT The global acceleration of artificial intelligence has unlocked unprecedented capabilities in language, vision, reasoning, and automation. Yet, current architectures share three structural vulnerabilities: 1. **Instability Under Self-Modification:** Systems optimized for performance lack formal guarantees that their core objectives remain stable during iterative self-improvement. 2. **Energy & Physical Constraints:** Data-transfer-heavy architectures consume disproportionate energy, conflicting with climate commitments and limiting scalable deployment. 3. **Opacity & Auditability Gaps:** Decision-making processes remain largely opaque, making external verification, regulatory compliance, and public trust difficult to achieve. As AI systems transition from tools to autonomous agents, these vulnerabilities evolve from engineering challenges into strategic and existential risks. Nations and institutions require a new paradigm: one where safety, stability, and verifiability are not appended as afterthoughts, but embedded as foundational properties. OMEGA SABRINAL ELRAKHAVI addresses this imperative by proposing a cognitive architecture where mathematical stability, physical efficiency, and external auditability are structurally guaranteed. This document outlines the conceptual foundations, strategic value, and governance pathways for responsible advancement. --- ### 2. CONCEPTUAL ARCHITECTURE: SIX FOUNDATIONAL PILLARS The framework is built upon six interdependent conceptual pillars. Each pillar addresses a critical limitation of current AI while establishing verifiable guarantees for safety and stability. #### 2.1. Neuro-Symbolic Reasoning Fusion Cu

    2026 · Zenodo (CERN European Organization for Nuclear Research) · elrakhawi, mohamed kamal arafa

    2026
  8. Critical Discourse Analysis of Islam and Academic Integrity: Framing the Indonesian Scholars (Supplementary Materials)

    2026 · OSF Preprints (OSF Preprints) · Hamzah, Nurul Huda, Syahid, Abdul, Dakir, Dakir et al.

    2026
  9. ALGORITHMIC PEDAGOGY IN PAKISTANI HIGHER EDUCATION: EXAMINING THE IMPACT OF AI-DRIVEN PERSONALIZED LEARNING ON CRITICAL THINKING SKILLS AND ACADEMIC INTEGRITY

    2026 · Zenodo (CERN European Organization for Nuclear Research) · Qayyum, Dr Sayed Tanweer Ahmed,Deedar Ali,Dr. Mahboob Ullah,Syeda Mahnoor Saeed,Suman

    2026
  10. Building Critical AI Literacy through PAIRR: Student Attitudes about Feedback and Academic Integrity

    2026 · SSRN Electronic Journal · Minnillo, Sophia, Ok, Joy F., Whithaus, Carl

    2026
  11. Decolonising Academic Integrity;A critical literature review of Global South international postgraduate students’ experiences at UK universities

    2025 · University Of Wales Trinity Saint David Research Repository (University of Wales Trinity Saint David) · Martin-Simpson, Laura

    2025
  12. The Impact of Artificial Intelligence on Language Learners’ Critical Thinking Skills, Language Learning, And Academic Integrity

    2025 · International Journal of Research and Innovation in Social Science · Azman, Muhammad, Mohadih, Nurazwah Binti Musidi, Azhar, Nuha Batrisyia Binti Khairul et al.

    2025
  13. Artificial Intelligence in Adolescent Learning: Implications for Academic Integrity and Critical Thinking

    2025 · Asian Journal of Education and Social Studies · Aung, Hein Htet, Bauyot, Marleonie

    2025
  14. Fostering a Culture of Academic Integrity in Higher Education: A Critical Review

    2025 · Asian Journal of Education and Social Studies · Muthuraman, Subrahmanian

    2025
  15. Ethical Integration of AI in First-Year Writing: Practical Assignments to Foster Academic Integrity and Critical Engagement

    2025 · Journal of International Crisis and Risk Communication Research · Russell, Michalak,

    2025
  16. The Role of AI-Assisted Learning Tools in Higher Education: Balancing Efficiency, Critical Thinking and Academic Integrity

    2025 · Journal of Social and Development Sciences · Hasin, Hanafiah, Jamil, Anita, Mahat, Zaleha et al.

    2025
  17. Balancing Innovation and Integrity: A Critical Analysis of Academic Writing in the AI Era

    2025 · International Social Sciences and Education Journal · Shuping, Mabihi

    2025
  18. The Impact of Generative AI on Critical Thinking and Academic Integrity in Higher Education: A Mixed-Methods Study

    2025 · Chronicle of computing · Tadema, John, Oluwagbemi, Johnson Bisi, Mesioye, Ayobami Emmanuel et al.

    2025
  19. Philosophical Aspects of Critical Pedagogy of Paulo Freire in the Context of Students’ Academic Integrity

    2024 · Studia Warmińskie · Петінова, Оксана, Nesterova, Olha

    2024

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