{"id":2371,"date":"2024-09-30T09:00:00","date_gmt":"2024-09-30T09:00:00","guid":{"rendered":"https:\/\/atras-univ-saida.dz\/en\/?p=2371"},"modified":"2025-01-30T18:55:53","modified_gmt":"2025-01-30T18:55:53","slug":"artificial-intelligence-and-human-cognition-a-systematic-review-of-thought-provocation-through-ai-chatgpt-prompts","status":"publish","type":"post","link":"https:\/\/atras-univ-saida.dz\/en\/?p=2371","title":{"rendered":"Article 27 Issue 03 Vol 5 September 2024"},"content":{"rendered":"\n<div id=\"section-g058939\" class=\"wp-block-gutentor-e1 section-g058939 gutentor-element gutentor-element-advanced-text text-align-center-desktop text-align-center-tablet text-align-justify-mobile\"><div class=\"gutentor-text-wrap\"><h1 class=\"gutentor-text\"><strong>Artificial Intelligence and Human Cognition: A Systematic Review of Thought Provocation through AI ChatGPT Prompts<\/strong><\/h1><\/div><\/div>\n\n\n\n<div id=\"section-gcaaf61\" class=\"wp-block-gutentor-e1 section-gcaaf61 gutentor-element gutentor-element-advanced-text text-align-center-desktop\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\"><strong>Akram Shebani Ahmad Klella<\/strong><br>Zawia University, College of&nbsp; Education, Abi-Isa, English department, Zawia, Libya<br><a href=\"mailto:a.klella@zu.edu.ly\">a.klella@zu.edu.ly<\/a><br>https:\/\/orcid.org\/0009-0009-7064-8228<br><strong>Zakria Mohammed Omar Mrghem<\/strong><br>Zawia University, College of&nbsp; Education, Abi-Isa, Computer Science Department, Zawia, Libya<br><a href=\"mailto:z.mrghem@zu.edu.ly\">z.mrghem@zu.edu.ly<\/a><br><a href=\"https:\/\/orcid.org\/0009-0005-4986-6520\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/orcid.org\/0009-0005-4986-6520<\/a><\/p><\/div><\/div>\n\n\n\n<div id=\"section-gb144bb\" class=\"wp-block-gutentor-e0 section-gb144bb gutentor-element gutentor-element-advanced-text\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\"><strong>Abstract<\/strong><\/p><\/div><\/div>\n\n\n\n<div id=\"section-g6ab228\" class=\"wp-block-gutentor-e1 section-g6ab228 gutentor-element gutentor-element-advanced-text text-align-justify-desktop\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\">This paper aims to provide a conceptual investigation over exploring the emergent processes and explanations formulated by a capacity to think, especially when extending reasoning abilities over an AI prompt, such as ChatGPT. These emergencies conceptualize special pathways, forcing human-like frameworks and processes of thought to be instanced, often covering personal qualifiers, in addition to motivations and other personal and emotional idiosyncrasies. Investigating and calling such processes thought whilst pulling for this instance human-like cognitive and behavioral articulation can provide us not only with an interesting standpoint counter to standard platonic maneuvers in cognitive science and AI but can also be utilised and reappraising to more useful and socio-culturally molar notions of optimization, embeddedness, intelligence, soft consciousness, and learning processes.<\/p><\/div><\/div>\n\n\n\n<div id=\"section-g101d01\" class=\"wp-block-gutentor-e0 section-g101d01 gutentor-element gutentor-element-advanced-text\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\"><strong>Keywords:<\/strong>  Artificial Intelligence, ChatGPT prompts, human cognition, learning Processes, thought provocation<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><a href=\"https:\/\/atras-univ-saida.dz\/archive\/index.php\/files\/article\/view\/94\/74\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"278\" src=\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2.png\" alt=\"\" class=\"wp-image-1136\" style=\"width:183px;height:auto\" srcset=\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2.png 1000w, https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2-300x83.png 300w, https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/06\/image-2-768x214.png 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/a><\/figure>\n<\/div>\n\n\n<div id=\"section-g-f1j5110\" class=\"wp-block-gutentor-e1 section-g-f1j5110 gutentor-element gutentor-element-advanced-text text-align-left-desktop text-align-center-tablet text-align-justify-mobile\"><div class=\"gutentor-text-wrap\"><h1 class=\"gutentor-text\"><strong>DOI:<\/strong><br><strong>https:\/\/doi.org\/10.70091\/atras\/AI.27<\/strong><\/h1><\/div><\/div>\n\n\n\n<div id=\"section-g014a7a\" class=\"wp-block-gutentor-e0 section-g014a7a gutentor-element gutentor-element-advanced-text\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\"><strong><strong>How to Cite this Paper&nbsp;:<\/strong><\/strong> <\/p><\/div><\/div>\n\n\n\n<div id=\"section-g-21kwssw\" class=\"wp-block-gutentor-e0 section-g-21kwssw gutentor-element gutentor-element-advanced-text\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\">Klella, A., &amp; Mrghem, Z. (2024). Artificial intelligence and human cognition: A systematic review of thought provocation through AI ChatGPT prompts. <em>Atras Journal<\/em>, <em>5 <\/em>(Special Issue), 432-444.<\/p><\/div><\/div>\n\n\n\n<div id=\"section-ga61cc2\" class=\"wp-block-gutentor-e0 section-ga61cc2 gutentor-element gutentor-element-advanced-text\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\"><strong>References<\/strong>:<\/p><\/div><\/div>\n\n\n\n<div id=\"section-g6ce608\" class=\"wp-block-gutentor-e1 section-g6ce608 gutentor-element gutentor-element-advanced-text text-align-justify-desktop text-align-justify-tablet text-align-justify-mobile\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\">Alto, V. (2023). <em>Modern generative AI with ChatGPT and OpenAI models: Leverage the capabilities of OpenAI&#8217;s LLM for productivity and innovation with GPT-3 and GPT-4. Packt Publications.<\/em> Birmingham, United Kingdom<br>Bender, E. 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B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., &amp; Zhao, S. (2021). Advances and open problems in federated learning. <em>Foundations and Trends in Machine Learning, 14<\/em> (1\u20132), 1-210. <a href=\"https:\/\/doi.org\/10.1561\/2200000083\">https:\/\/doi.org\/10.1561\/2200000083<\/a><br>Lin, C. C., Huang, A. Y. Q., &amp; Yang, S. J. H. (2023). A review of AI-driven conversational chatbot implementation methodologies and challenges (1999\u20132022). <em>Sustainability, 15<\/em> (5), 4012. <a href=\"https:\/\/doi.org\/10.3390\/su15054012\">https:\/\/doi.org\/10.3390\/su15054012<\/a><br>Lucci, S., Kopec, D., &amp; Musa, S. M. (2022). <em>Artificial intelligence in the 21st century<\/em>. Mercury Learning and Information Publishing.<br>Marcus, G., &amp; Davis, E. (2019). <em>Rebooting AI: Building artificial intelligence we can trust<\/em>. Pantheon. New York. United States of America<br>McCosker, A., &amp; Wilken, R. (2020). 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ELIZA\u2014a computer program for the study of natural language communication between man and machine. <em>Communications of the ACM, 9<\/em> (1), 36-45. <a href=\"https:\/\/doi.org\/10.1145\/365153.365168\">https:\/\/doi.org\/10.1145\/365153.365168<\/a><br>Wu, X., Duan, R., &amp; Ni, J. (2024). Unveiling security, privacy, and ethical concerns of ChatGPT. J<em>ournal of Information and Intelligence, 2<\/em> (2), 102-115&nbsp; <a href=\"https:\/\/arxiv.org\/abs\/2307.14192\">https:\/\/arxiv.org\/abs\/2307.14192<\/a><\/p><\/div><\/div>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"145\" height=\"50\" src=\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2025\/01\/image.png\" alt=\"\" class=\"wp-image-2538\" style=\"width:119px;height:auto\"\/><\/figure>\n\n\n\n<div id=\"section-g-6264hl4\" class=\"wp-block-gutentor-e1 section-g-6264hl4 gutentor-element gutentor-element-advanced-text text-align-justify-desktop\"><div class=\"gutentor-text-wrap\"><p class=\"gutentor-text\">Copyright for all articles published in&nbsp;<strong>ATRAS&nbsp;<\/strong>belongs to the author. The authors also grant permission to the publisher to publish, reproduce, distribute, and transmit the articles.&nbsp;<strong>ATRAS&nbsp;<\/strong>publishes accepted papers under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. Authors submitting papers for publication in&nbsp;<strong>ATRAS&nbsp;<\/strong>agree to apply the CC BY-NC 4.0 license to their work. For non-commercial purposes, anyone may copy, redistribute material, remix, transform, and construct material in any media or format, provided that the terms of the license are observed and the original source is properly cited.<\/p><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":2246,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[408],"tags":[419,503,505,504,506],"class_list":["post-2371","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-vol-05-n03-2024","tag-artificial-intelligence","tag-chatgpt-prompts","tag-human-cognition","tag-learning-processes","tag-thought-provocation"],"gutentor_comment":0,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Article 27 Issue 03 Vol 5 September 2024 - ATRAS journal<\/title>\n<meta name=\"description\" content=\"Artificial Intelligence and Human Cognition: A Systematic Review of Thought Provocation through AI ChatGPT Prompts Akram Shebani Ahmad KlellaZawia This paper aims to provide a conceptual investigation over exploring the emergent processes and explanations formulated by a capacity to think, especially when extending reasoning abilities over an AI prompt, such as ChatGPT. These emergencies conceptualize special pathways, forcing human-like frameworks and processes of thought to be instanced, often covering personal qualifiers, in addition to motivations and other personal and emotional idiosyncrasies. Investigating and calling such processes thought whilst pulling for this instance human-like cognitive and behavioral articulation can provide us not only with an interesting standpoint counter to standard platonic maneuvers in cognitive science and AI but can also be utilised and reappraising to more useful and socio-culturally molar notions of optimization, embeddedness, intelligence, soft consciousness, and learning processes.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atras-univ-saida.dz\/en\/?p=2371\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence and Human Cognition: A Systematic Review of Thought Provocation through AI ChatGPT Prompts\" \/>\n<meta property=\"og:description\" content=\"This paper aims to provide a conceptual investigation over exploring the emergent processes and explanations formulated by a capacity to think, especially when extending reasoning abilities over an AI prompt, such as ChatGPT. These emergencies conceptualize special pathways, forcing human-like frameworks and processes of thought to be instanced, often covering personal qualifiers, in addition to motivations and other personal and emotional idiosyncrasies. Investigating and calling such processes thought whilst pulling for this instance human-like cognitive and behavioral articulation can provide us not only with an interesting standpoint counter to standard platonic maneuvers in cognitive science and AI but can also be utilised and reappraising to more useful and socio-culturally molar notions of optimization, embeddedness, intelligence, soft consciousness, and learning processes.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atras-univ-saida.dz\/en\/?p=2371\" \/>\n<meta property=\"og:site_name\" content=\"ATRAS journal\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/p\/ATRAS-journal-100083161450894\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-30T09:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-30T18:55:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png\" \/>\n\t<meta property=\"og:image:width\" content=\"437\" \/>\n\t<meta property=\"og:image:height\" content=\"565\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"atras\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Artificial Intelligence and Human Cognition: A Systematic Review of Thought Provocation through AI ChatGPT Prompts\" \/>\n<meta name=\"twitter:description\" content=\"This paper aims to provide a conceptual investigation over exploring the emergent processes and explanations formulated by a capacity to think, especially when extending reasoning abilities over an AI prompt, such as ChatGPT. These emergencies conceptualize special pathways, forcing human-like frameworks and processes of thought to be instanced, often covering personal qualifiers, in addition to motivations and other personal and emotional idiosyncrasies. 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