Exploring the Role of Perceived Usefulness and AI Anxiety in Technology-driven Self-directed Learning: A Paradox Mindset Perspective
Neethu Ismail & Lishin Moothery Joshy
What the paper says
Technological advancements such as virtual teaching assistants, online courses, AI-powered learning platforms and interactive robotic teaching systems are transforming the educational landscape. These developments raise important questions regarding learners’ attitudes towards technology-driven self-learning (ATSL) and the anxiety associated with AI. While qualitative research has explored these attitudes, concerns regarding overreliance on AI and its long-term implications on traditional education systems persist. This study examines postgraduate management students’ perspectives on AI technologies’ learning environments, with a specific focus on four constructs: ATSL, AI anxiety related to learning (AIA), perceived usefulness of technology (PUT) and paradox mindset (PM). Data collected from 262 students through a structured questionnaire were analysed using IBM SPSS 23 and PROCESS macro. Findings suggest that a PM positively influences ATSL, with PUT partially mediating this relationship. However, AI anxiety moderates the connection, amplifying the positive effects of a PM when anxiety levels are high. These insights are especially relevant for educators, policymakers and developers, emphasizing the need for guidance and support to address AI-related apprehensions while promoting a positive attitudes towards technological innovations.
2 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.25 × 0.4 = 0.10 |
| M · momentum | 0.55 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.