generative ai

Integrating generative AI into librarian-led data literacy instruction for science and engineering students

Corporate attention to generative AI and earnings management: evidence from China

From disclosure to accountability under generative and agentic AI in tourism research

HARF: A human-AI collaborative framework for cultural heritage reconstruction with expert-guided multi-platform generative AI and systematic prompt engineering

Analyzing climate risk disclosures in the banking sector using transformer models and generative AI

The Impact of Generative AI on Sketching and Design Thinking Skills for Product Design Students

Navigating the future of Malaysian Education: A Paradigm Shift towards sustainable competencies and holistic development in the 2027 Curricular reform

The rapid onset of the Fourth Industrial Revolution and increasing global environmental volatility have necessitated a fundamental reimagining of national educational frameworks. This study examines the systemic paradigm shift represented by the Malaysia New Curriculum 2027, a landmark reform aimed at moving the nation from a traditional, performance-centric model to a fluid, competency-based ecosystem. Using an Integrative Conceptual Synthesis methodology, the research triangulates Malaysian national policy foundations with authoritative global benchmarks, including the OECD Learning Compass 2030 and UNESCO’s ESD 2030 roadmap, to bridge the persistent gap between theoretical policy aspirations and practical classroom realities. The analysis identifies critical systemic tensions currently hindering national progress, specifically the “content-density paradox” and the “readiness deficit” regarding digital ethics in the emerging era of generative AI. The primary finding is the proposal of the Sustainable-Holistic Synergy Model (SHSM), which posits that genuine future-readiness is a synergistic outcome of three interdependent pillars: adaptive cognitive flexibility, ethical digital humanism, and stewardship-driven sustainability. The study concludes that the ultimate success of the 2027 reform depends on a radical redefinition of national assessment tools and the empowerment of teachers as facilitators of synergy. Future research should empirically validate these SHSM pillars through longitudinal pilot testing across Malaysia’s diverse urban and rural school landscapes to ensure an equitable and inclusive national transformation

New Developments in Dental Education, Research, and Clinical Practice Opened by Generative AI - Evaluation of Large Language

Adaptive Repayment Optimisation for SME Lending: A Stochastic Programming Framework with Generative AI Explanation

The Adaptive Repayment Optimisation Engine is introduced, a novel framework that applies constrained stochastic optimisation to the design of loan repayment schedules for small and medium-sized enterprises (SMEs) and contributes to the operations research literature by bridging stochastic programming, explainable AI, and financial regulation in a novel application domain.

DECODING SOMATIC COMMUNICATION: A TRIADIC HUMAN-AI CO-CREATION FRAMEWORK FOR POST-CANCER PATIENT AUTONOMY

This paper outlines a systematic framework designed to integrate generative AI modalities into the field of restorative tattoo art, specifically targeting psychological and somatic rehabilitation post-oncological disease.

An Innovative Framework for Analyzing the Impact of Generative AI on Supply Chain Transformation: A Text Analytics Approach

Beyond Deterministic Design: Engineering Education for AI-Enabled Heterogeneous Systems

This constructive position paper proposes the “vibe-designer”—a new professional paradigm that strategically compresses the traditional middle phase of the engineering curriculum to focus on high-level specification, adversarial evaluation, and systemic contextualization.