Cultivating Critical Thinking in Future Professionals through Advanced Information Literacy and Learning Technologies

Abstract

In an era defined by information overload, Generative AI-driven content, and sophisticated misinformation, the ability to think critically has shifted from a desirable professional attribute to an essential one. Conventional educational frameworks often reduce information literacy to a procedural skill set for finding and citing sources, inadequately preparing students for the intricate nature of the modern digital landscape. In an attempt to bridge the educational gap, this paper designs and offers support for a new conceptual framework, which we term as Synergistic Framework for Critical Information Engagement (SFCIE). The specific research objective of this study is to develop an integrated and comprehensive framework that synergizes information literacy (IL) capabilities at an advanced level with modern learning technologies in higher education. This study targets higher education curricula and programs which prepare future professionals in a spectrum of fields, including but not limited to management, law, and health science, among many others. This paper follows the research design of a review of the literature and a conceptual development. This research thus reviews the development of IL and its pedagogical tools, the underlying cognitive abilities for critical thinking (CT), and the functional affordances of learning technologies, such as Artificial Intelligence tutors and collaborative digital workspaces to support these dimensions, especially in the case of the recent rise of Generative AI and its paradoxical effect for both supporting and undermining CT. The main finding of this article is an integrative framework of building and supporting CT at the intersection of core literacies, higher-order cognitive skills such as algorithmic thinking, source analysis, and ethical integration of information, and pedagogical methods enabled by learning technologies. SFCIE thus provides teachers and instructors with a principled approach for designing learning experiences that enable and support the development of robust CT. We concluded that higher education programs must progress beyond lower-order learning skills and take an integrative approach, putting pedagogy at the center, to better prepare graduates as professionals who are insightful, analytical, and ethically aware. The article also provides a blueprint for educators and higher education leaders to support CT in a world of increasing integration of AI and AI-powered systems.