ITSC Group weighs AI writing against real English proficiency

ITSC Group says polished AI-assisted writing can mask gaps in employees’ independent English ability, and its new report argues employers should measure proficiency alongside workplace performance. The research is meant to help companies separate language skill from AI literacy and job knowledge when evaluating workers.

Why it matters: - Employers increasingly see polished writing produced with AI tools, but a strong draft may not show whether an employee can explain, defend or adjust that work on the job. - ITSC Group says that distinction matters when companies use written samples to judge communication readiness and workforce capability. - The report argues that English proficiency should be one part of a broader assessment, not the only proof of performance.

What happened: - ITSC Group, the organization behind G-TELP, released a research report titled Why Measuring English Proficiency Matters in the AI Era. - The report was prepared by Janna Schaeffer, PhD. - The research focuses on how AI-assisted writing affects employee assessment and development.

The details: - Generative AI can help people draft and refine English documents, but the final text may not reflect the author’s independent ability to understand and communicate. - The report uses a workplace example in which an employee prepares an English client briefing with AI support. - In that scenario, the employee may still need to explain recommendations in a meeting, interpret follow-up questions and clarify ambiguous statements. - The report says that kind of live communication reveals skills that a finished document alone may hide. - The report also notes that AI-supported work can require refined prompting, response interpretation and review of generated information. - The report separates English proficiency from AI literacy. - Difficulty completing a task may reflect language development needs, AI literacy gaps, professional knowledge gaps or a mix of all three. - G-TELP’s Speaking and Writing tests assess general English oral and written proficiency, respectively. - When used under appropriate conditions and for a defined purpose, the test results can add language evidence alongside workplace tasks. - The assessments measure English proficiency only. They do not measure AI literacy or job-specific expertise.

Between the lines: - The report reflects a broader shift in hiring and training as AI becomes a routine part of office work. - Employers may need to look past polished output and examine the underlying skills that workers bring to meetings, client interactions and problem-solving. - The report positions language testing as a way to separate communication skill from technology use and subject-matter expertise.

What's next: - Employers can combine language results with AI-assisted work samples, professional experience and evidence of job knowledge. - The report says a discussion about a client briefing can help assess professional understanding while language results identify where communication support may be needed. - ITSC Group says assessment should be aligned with actual job demands and treated as one source of evidence in workforce decisions. - More information is available on the G-TELP Speaking Test and G-TELP Writing Test product pages.

The bottom line: - AI can improve the polish of workplace writing, but employers still need separate evidence of independent English proficiency.