Scientific Role of AI Tools Like Chat GPT on Competitive Exam Aspirants in Visakhapatnam

Scientific Role of AI Tools Like Chat GPT on Competitive Exam Aspirants in Visakhapatnam | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Scientific Role of AI Tools Like Chat GPT on Competitive Exam Aspirants in Visakhapatnam Sashi Kumar Karri, B. Sudha Sai, Prem Kumar Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6672595/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract The application of AI resources such as ChatGPT has immensely transformed vocabulary acquisition and efficiency in learning. The present study focuses on the research question “How do competitive exam aspirants in Visakhapatnam perceive the effectiveness of ChatGPT in vocabulary acquisition and autonomous learning, and how do its AI-driven functionalities align with established language learning theories?" The mixed-methods design engages quantitative data obtained from 101 aspirants from different institutes across Visakhapatnam, a few select ELT hypotheses, video recordings from reputed official guides of GRE and GMAT, and qualitative observations from 20 language trainers for methodological triangulation (Creswell & Plano Clark, 2017). The results indicate the efficacy of ChatGPT in returning immediate explanations, customized examples, and adaptive feedback, consistent with Krashen's Input Hypothesis (1982), which emphasizes the necessity of comprehensible input for language learning. ChatGPT's function as an electronic mentor is consistent with Vygotsky's Sociocultural Theory (1978), as a More Knowledgeable Other (MKO) that scaffolds learning within the Zone of Proximal Development (ZPD). Its interactive quality enhances Long's Interaction Hypothesis (1983) by allowing better understanding through simultaneous conversations and negotiated meaning. ChatGPT also mitigates cognitive overload (Sweller, 1988) by making complicated information straightforward and improving learning efficiency. Moreover, it promotes independent learning, in accordance with Constructivist Learning Theory (Piaget, 1952; Bruner, 1966). Nonetheless, limitations such as occasional inaccuracy, the requirement for clear-cut explanations, and a lack of progress-tracking functionality were observed (Jeon, 2021 ; Shaikh et al., 2023 ). Suggestions are gamified learning tools and culturally adapted modules. This research adds to maximizing AI-based learning for India's competitive exam aspirants ChatGPT Competitive Exams Vocabulary Acquisition Autonomous Learning AI-driven tools Educational Technology Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 30 Jun, 2025 Reviews received at journal 26 Jun, 2025 Reviewers agreed at journal 26 Jun, 2025 Reviews received at journal 25 Jun, 2025 Reviewers agreed at journal 18 Jun, 2025 Reviewers invited by journal 18 Jun, 2025 Editor assigned by journal 17 Jun, 2025 Submission checks completed at journal 13 Jun, 2025 First submitted to journal 13 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6672595","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":473170604,"identity":"54fdb81d-b3a1-4fed-bbcb-a2123ab3a909","order_by":0,"name":"Sashi Kumar Karri","email":"","orcid":"","institution":"GITAM University","correspondingAuthor":false,"prefix":"","firstName":"Sashi","middleName":"Kumar","lastName":"Karri","suffix":""},{"id":473170605,"identity":"f772353f-84fb-4970-8da2-9884e43fce49","order_by":1,"name":"B. 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The present study focuses on the research question \u0026ldquo;How do competitive exam aspirants in Visakhapatnam perceive the effectiveness of ChatGPT in vocabulary acquisition and autonomous learning, and how do its AI-driven functionalities align with established language learning theories?\" The mixed-methods design engages quantitative data obtained from 101 aspirants from different institutes across Visakhapatnam, a few select ELT hypotheses, video recordings from reputed official guides of GRE and GMAT, and qualitative observations from 20 language trainers for methodological triangulation (Creswell \u0026amp; Plano Clark, 2017). The results indicate the efficacy of ChatGPT in returning immediate explanations, customized examples, and adaptive feedback, consistent with Krashen's Input Hypothesis (1982), which emphasizes the necessity of comprehensible input for language learning. ChatGPT's function as an electronic mentor is consistent with Vygotsky's Sociocultural Theory (1978), as a More Knowledgeable Other (MKO) that scaffolds learning within the Zone of Proximal Development (ZPD). Its interactive quality enhances Long's Interaction Hypothesis (1983) by allowing better understanding through simultaneous conversations and negotiated meaning. ChatGPT also mitigates cognitive overload (Sweller, 1988) by making complicated information straightforward and improving learning efficiency. 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