Math anxiety may be stopping students from learning useful AI and data skills
Artificial intelligence is increasingly becoming part of everyday life and work. AI can generate information, summarize evidence and perform calculations. However, it does not remove the need for critical thinking and conceptual understanding.
Mathematics anxiety may be preventing university students from acquiring essential AI and data skills, according to new research. While artificial intelligence can generate information and perform calculations, it still requires human oversight for critical thinking, error detection, and decision-making. Employers seek individuals who can evaluate AI outputs, recognize mistakes, and make informed decisions based on data.
Many students, despite possessing the intellectual ability, avoid quantitative subjects due to mathematics anxiety. This fear can lead to avoidance of quantitative work, disengagement from learning opportunities, and limited career prospects. The issue is not confined to mathematics majors; students across various disciplines increasingly need to interpret data, evaluate research evidence, and make decisions based on it.
A global problem, mathematics anxiety has risen from 31% in 2012 to 39% in 2022 among OECD countries, as measured by the Programme for International Student Assessment (PISA). Addressing this anxiety is crucial, not only for improving academic performance but also for ensuring students are not excluded from quantitative subjects and careers.
Research suggests that emotionally intelligent approaches can help students overcome their anxiety, leading to increased confidence, resilience, and interest in statistics. Supportive learning environments can encourage students to challenge negative beliefs about their mathematical abilities. By fostering participation, collaboration, and confidence, universities can help students engage more positively with quantitative work and better prepare them for future careers.
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