Artificial Intelligence and Scholarly Research

Proposes concrete examples of how educational stakeholders can be empowered in their AI literacy to foster creativity, inspire critical thinking, and promote problem-solving.

Develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implementation at institutional levels and addressing the conundrum of using GenAI in higher education.

Explores the necessity of AI literacy tailored to professional contexts, assesses the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delves into the transformation of assessment methods in the GenAI era.

Covers implications for teaching methods and insight into the impact of generative AI usage on student learning experiences as well as offering practical guidelines and warnings about uncritical use of generative AI in scientific research.

Equips readers with the knowledge to answer pressing questions about AI including how can we ensure these systems respect our ethical principals.

Covers AI theory to practice, unravelling power dynamics, social structures, and ChatGPT's profound influence.

Explores how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases.

Provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI's current advances, hurdles, and potential.

Includes research results, authoritative overview articles, high quality analysis on trends, comparative studies, and analysis of cases that focus on issues including ethical issues and risks for applying AI in higher education, policies to introduce AI in curricula, and applications in teaching and learning.