Saturday, August 01, 2026

Scale can measure university students' confidence in using AI - Koc University, Phys.org

Artificial intelligence technologies are becoming increasingly prominent in higher education. Adaptive learning platforms, intelligent tutoring systems and automated feedback tools are now widely used in university education. Alongside this transformation, attention has shifted not only to students' use of AI tools but also to their confidence in their ability to interact effectively with these systems. AI self-efficacy refers to students' confidence in their ability to use and adapt to artificial intelligence technologies effectively. The researchers note that although several scale adaptation studies have been conducted in Türkiye in areas such as AI literacy, AI anxiety and AI acceptance, validated AI self-efficacy scales focusing specifically on university students and educational settings remain limited. The study therefore aimed to provide a reliable and valid Turkish measurement tool for assessing AI self-efficacy among university students.

From adoption to impact: Three horizons of AI transformation - McKinsey

AI is now the top technology spending priority for many organizations, as leaders put powerful tools into employees’ hands, automate parts of existing workflows, and urge people to experiment. Yet results are still falling short of leaders’ ambitions. The reason is becoming clearer: AI does not create enterprise value simply because more people use it. Individual productivity gains matter, but they rarely translate into lasting advantage when the organization around them stays the same. Companies moving furthest ahead do two crucial things differently. First, they focus on areas where AI can create the most value, redesigning and rewiring workflows around what the technology makes possible, rather than spreading pilots across the organization or simply automating existing processes. Second, they treat AI transformation as an organizational change effort, not just a technology deployment, by investing in the workflows, behaviors, skills, leadership practices, and change management needed to make new ways of working stick.