ManuScript Details
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Paper Id:
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IJARW3124
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Title:
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RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION
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| Published in: |
International Journal Of All Research Writings |
| Publisher: |
IJARW |
| ISSN: |
2582-1008 |
| Volume / Issue: |
Volume 7 Issue 12 |
| Pages: |
6
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| Published On: |
6/19/2026 3:11:06 AM (MM/dd/yyyy) |
Main Author Details
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Name:
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Aditya Baskoro Wibowo1 |
| Institute: |
Politeknik Pratama Mulia Surakarta |
Co - Author Details
| Author Name |
Author Institute |
| Khairul Anuar Binti Megat Razali |
Politeknik Pratama Mulia Surakarta, Indonesia |
| Rizky Lestari Handayani |
Politeknik Pratama Mulia Surakarta, Indonesia |
Abstract
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Research Area:
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English language |
| KeyWord: |
Generative AI, Vocabulary Acquisition, Cognitive Load Theory, Involvement Load Hypothesis, Desirable Difficulties, Optimal Cognitive Friction |
| Abstract: |
This conceptual paper investigates the theoretical paradox of integrating Generative AI (GenAI) into L2 vocabulary acquisition. Mapping Large Language Model affordances onto the three lexical processing stages noticing, retrieval, and generation reveals a structural shift toward automated scaffolding and co-creation. Synthesizing Cognitive Load Theory and the Involvement Load Hypothesis, we argue that while GenAI minimizes extraneous load via adaptive prompting, its frictionless delivery eviscerates task-induced involvement by neutralizing critical Search and Evaluation parameters. This cognitive offloading removes desirable difficulties, trapping EFL learners within a superficial illusion of competence. To resolve this dilemma, this study introduces the AI-Mediated Cognitive Engagement Model (ACEM), a two-dimensional matrix engineered to regulate Optimal Cognitive Friction within generative digital tasks. The paper concludes with actionable prompt architectures to transition AI from a cognitive crutch to a pedagogical challenger, outlining future neurocognitive research pathways (fMRI, eye-tracking, EEG) to validate AI-mediated lexical retention depth. |
Citations
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
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IEEE
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Aditya Baskoro Wibowo1, Khairul Anuar Binti Megat Razali , Rizky Lestari Handayani, "RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION", International Journal Of All Research Writings,
vol. 7, no. 12, pp. 108-113, 2026.
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MLA
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Aditya Baskoro Wibowo1, Khairul Anuar Binti Megat Razali , Rizky Lestari Handayani "RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION." International Journal Of All Research Writings,
vol 7, no. 12, 2026, pp. 108-113.
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APA
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Aditya Baskoro Wibowo1, Khairul Anuar Binti Megat Razali , Rizky Lestari Handayani (2026). RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION. International Journal Of All Research Writings,
7(12), 108-113.
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RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION
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RECONCEPTUALIZING AI-MEDIATED VOCABULARY ACQUISITION: AFFORDANCES, COGNITIVE PARADOXES, AND THE ZONE OF OPTIMAL FRICTION
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