Analyse the growth of AI usage among students. Identify the most common ways students use AI for learning and study support. Explore the benefits of AI in education, such as improved efficiency and confidence. Examine concerns related to AI use, including dependency and academic integrity risks. Investigate the skills future graduates need to succeed in an AI-driven world.
The data is based on survey findings and may not represent all students. AI technologies and usage patterns are changing rapidly. Responses may contain self-reporting bias. The analysis identifies trends and patterns but does not prove causation.
Dataset Description: The dataset contains information on student AI adoption, learning activities, perceived benefits, concerns, and future workforce skills.
Dataset Summary: Focus: AI and student learning Time Period: 2020–2025 Key Variables: Year, Percentage, Category, Risk Level, and Source
Purpose: The dataset is used to understand how AI is transforming education, influencing student behaviour, and shaping the skills required for future graduates.