Concerns Over Bias in English Proficiency Testing Among Indian Test-Takers

A recent survey conducted by Pearson has highlighted significant concerns among Indian English test-takers regarding the perceived impact of their accent and appearance on test scores. The findings indicate that over 62% of participants fear their Indian accent may adversely affect their speaking test results. Additionally, more than 74% believe that their physical appearance could negatively influence outcomes when assessed by human examiners, raising critical questions about the fairness of traditional assessment methods used in visa-related English proficiency tests.

The survey, which included responses from 1,000 individuals across India, revealed that 96% of test-takers had been evaluated by human examiners. Among them, 59% expressed apprehension about potential discrimination based on skin tone, suspecting an unconscious bias favoring lighter skin. Furthermore, 64% worried that their choice of attire could impact their scores, with these concerns being particularly prevalent in Maharashtra. Additionally, 70% of respondents, especially those from Maharashtra, Tamil Nadu, and Uttar Pradesh, believed that individuals with prestigious job titles or strong educational backgrounds received more favorable treatment during assessments.

Accent-related concerns also emerged as a major issue, with 64% of respondents believing that adopting a particular accent could improve their test results. Specifically, 35% felt that an American accent would be advantageous, while 21% believed a British accent would yield better scores. This sentiment was echoed by educators, such as IELTS trainer Shradha Marian, who noted that students frequently inquire about which accent might enhance their performance. These anxieties extend beyond language testing, potentially affecting career opportunities and earning potential for test-takers.

In response to these concerns, Pearson has taken proactive measures to mitigate human biases in English proficiency assessments by incorporating artificial intelligence (AI) and linguistic expertise. “The English language testing and the broader global mobility space are not immune to these challenges. However, at Pearson, we are transforming this landscape,” said Prabhul Ravindran, Director of English Language Learning at Pearson India. The AI-driven evaluation system, which recognizes over 125 accents, aims to ensure a fairer assessment process by focusing solely on language proficiency rather than external factors such as appearance or socio-economic background.

Despite these concerns, India continues to perform well in English proficiency assessments. According to Pearson’s Global English Proficiency Report, India’s average English skill score stands at 52, slightly below the global average of 57. However, its speaking score of 57 surpasses the global average of 54. Within India, Delhi leads in English proficiency, followed by Rajasthan.

These findings underscore the necessity of addressing biases in English assessments to foster a fair and inclusive evaluation environment for all candidates. By leveraging AI and objective evaluation metrics, organizations like Pearson are working towards a more equitable assessment system that upholds linguistic competency as the primary criterion for evaluation.