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The Pearson Test of English (PTE) is a well-known test that checks how well non-native English speakers are at speaking, listening, writing and reading. Nowadays there are many digital resources, like as apps, to assist test-takers because the number of test takers is increasing on a daily basis. These apps are great because they offer specific practice, timed exercises, and feedback that feels like the actual test, making it easier for people to improve their skills step by step. But as online PTE preparation gets more popular, the future is moving towards advanced web platforms that are even more personal and interactive. These new platforms will use smart tech like advanced analytics and AI to give better feedback and create custom study plans that fit each user’s needs. This means studying will be more effective and focused on what you really need to work on. The future of PTE preparation tools looks promising, with platforms that combine the ease of apps with the many features of web-based systems. These tools can be designed to meet the needs of all learners and help them succeed.
Index Terms—Machine learning, Deep learning, Speech recognition
Keywords:
Machine learning, Deep learning, Speech recognition
Cite Article:
"Innovations in English Proficiency Testing: A Focus on PTE Preparation Tools", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a713-a721, February-2025, Available :http://www.ijrti.org/papers/IJRTI2501086.pdf
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000360
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator