generative ai

Using Generative AI Before, During, and After Faculty Mentoring.

Future direction of artificial intelligence in higher education assessment: a systematic review

This systematic review examines how artificial intelligence (AI), including generative AI and explainable AI (XAI), is reshaping assessment practices in higher education. Drawing on 31 empirical, conceptual, and review-based studies published between 2015 and 2025, the review identifies major shifts in the use of AI-su...

Innovation and Integration of Artificial Intelligence in Pharmaceutical, Biotechnology, and Life Science Research: Current Advances and Future Perspectives

Artificial Intelligence (AI) has rapidly transformed pharmaceutical sciences, biotechnology, and life science research by enabling intelligent data analysis, predictive modeling, and automation of complex scientific workflows. Modern AI technologies, including machine learning, deep learning, natural language processin...

Perceived Generative AI Complementarity in Relation to Job Engagement and Job Embeddedness: The Mediating Roles of Psychological Empowerment and Psychological Safety

Perceived generative AI complementarity was positively associated with both psychological resources, and both resources were positively associated with job engagement and job embeddedness.

Multimodal GenAI for Communicative Language Teaching: Gemini Live

ABSTRACT This review explores the pedagogical affordances of Gemini Live, Google's multimodal generative AI (GenAI) chatbot, for communicative language teaching, with particular attention to task‐based interaction. Unlike earlier text‐ or voice‐based GenAI chatbots, Gemini 2.5 released in 2025 integrated live vision an...

Circumventing Non-Convex Saddle-Point Barriers via 4D Conserved Topological Charge Vector Projections: A Deterministic Computer-Assisted Proof

Non-convex optimization is notoriously bottlenecked by the ubiquity of high-dimensional saddle points and degenerate energy plateaus, where standard gradient descent, momentum methods, and stochastic Langevin dynamics suffer polynomial or exponential deceleration O(1/ε²) or spurious limit cycles. In this work, inspired...

‘Dream a little before you think’ : an open invitation to reconsider human agency and the purpose of arts and humanities higher education through the labour of radical imagination

Following the long inertia of Enlightenment influence and decades of neoliberal propaganda, generative AI is hailed as the most recent revolutionary force that is prophesied to redefine not only what education and knowledge production mean, but also what human civilization could potentially look like. This thesis criti...

What are we teaching the machine? : toward responsible AI and rigorous data science for farm animal welfare

Technology is increasingly integrated into dairy cattle management to monitor health and productivity. The rise of artificial intelligence (AI) has led to a plethora of claims that AI could improve animal welfare, yet much of this discussion lacks critical reflection. The overall aim of my thesis was to critically eval...

Dual-Fluency Teacher: From Blind-Spot Analysis to Redesign Using the IAT Model (Session 4: Synthesizing the Final Remedial Lesson Plan )

This instructional guide constitutes Session 1 of the four-part professional development course "Dual-Fluency Teacher: From Blind-Spot Analysis to Redesign Using the IAT Model" (August–September 2026). Session 1 focuses on unpacking the epistemic network of curriculum materials by transitioning from linear textual cont...

Embedding AI Capabilities into Enterprise Architecture: A Business Case for AI-Enabled Target Architecture

This paper proposes an AI-enabled target architecture for integrating generative and agentic AI capabilities into Enterprise Architecture. It combines capability modelling, governance, data and platform architecture, lifecycle controls, and investment analysis to show how organizations can move from isolated AI experim...

Technology and the future of qualitative data analysis

The entanglement between technology and methodology in qualitative research has largely been overlooked in management and organization studies (MOS). In this paper, we rectify this inattention, proposing that the way we analyze qualitative data be viewed as a socio-technical practice. Guided by social construction of t...

Creative or uncreative partner: Comparing humans and AI in collaborative creative tasks

: Creativity is fundamentally a collaborative process. As generative AI becomes increasingly integrated into creative work, understanding how it reshapes collaboration becomes critical. This pre-registered study directly compares human-human and human-AI collaboration dynamics across two creative tasks: the Alternate U...