generative ai

Reconceptualizing Assessment in Higher Education

The chapter discusses artificial intelligence (AI) and generative AI, in particular, as it transforms the way assessments are conducted in higher education. The AI systems that have the ability to formulate questions and assess answers as well as give feedback are challenging the traditional assessment methods which la...

Between gatekeeping and coping: Iranian EFL students’ lived experience of AI-mediated writing assessment

The study investigates the lived experience of Iranian EFL university students navigating high-stakes academic writing assessment in a context where GenAI tools are widely available yet institutionally unregulated and proposes three principles for human-centered assessment design—transparency, integration, and relation...

Whose voices count? Multilingualism, AI policy, and equity at Hispanic-Serving institutions

Universities have been rapidly developing generative AI policies to govern teaching, learning, research, and administration. Although these policies are typically framed around innovation, academic integrity, and risk management, they also shape language practices and participation in multilingual institutional context...

The generative rearchitecture of antibody engineering shifts empirical discovery into intentional design

Abstract Generative AI is reshaping antibody engineering by transitioning from empirical screening toward more specification-driven design, potentially expanding the accessible target landscape. While front-loading developability criteria helps streamline discovery timelines, data constraints still introduce risks of i...

Adaptive and Personalized Assessment Pathways Enabled by GenAI

Assessment in higher education is no longer confined to fixed tests, uniform rubrics, or end-point measurement. With the rise of Generative AI, assessment can become more adaptive, dialogic, and responsive to the diverse ways students learn, struggle, and demonstrate understanding. This chapter explores how GenAI can s...

A Comparative Analysis of Lecturer and Student Attitudes Toward Generative AI Policies in Higher Education

AI DEPENDENCY IN HIGHER EDUCATION: ARE STUDENTS BECOMING OVER-RELIANT?

The results of the study show the impact of AI on learning, academic integrity, self-perceived dependency, and risks, as well as how AI has changed the way students’ study.

AI Voice-based Chatbots as a Conversational Partner in Practicing English Speaking: A Systematic Literature Review and the Ways Forward

A consistent trend in research design in this field with the predominance of quasi-experimental mixed-methods research is revealed, particularly in EFL contexts where the need to be proficient in speaking skills is substantial, yet the opportunities to communicate with a competent interlocutor are limited.

Academic vocabulary use in research publications in the AI era: human-authored vs AI-mediated texts

This study addresses an underexplored dimension of computer-assisted language learning (CALL) by developing the ChatGPT-Mediated Academic Word List for Research Publication (CAWL-RP), an exploratory, corpus-specific lexical profile rather than a general-purpose academic word list, and by examining how AI-mediated rewri...

Prompt-to-fabrication: a proposed multimodal process for the automated fabrication of facade elements

A prompt-to-fabricate workflow that couples text-to-image diffusion, AI-based 2D-to-3D mesh generation, and algorithmic geometry processing in Rhino/Grasshopper to convert visual intent into fabrication-ready panel geometry is proposed.

A dual-path trust-risk model of GenAI continuance: Conversational attributes, psychological evaluations, and configurational patterns.

It is suggested that supporting sustained GenAI use may require attention not only to system performance and conversational quality but also to calibrated trust, risk governance, and user satisfaction.

Methodological Aspects of Using Neural Networks in Visual Content Production

The article examines a methodology for evaluating the effectiveness of visual production involving generative neural networks. It presents the results of a SWOT analysis of approaches to image creation and provides a comparative analysis of generative image-creation platforms. Quantitative and qualitative metrics for e...