Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era - A Case Study of ChatGPT

Oct 15, 2026

Uploaded by Mabel

ChatGPT’s emergence as an OpenAI conversational AI has accelerated debate about its transformative impact, especially in education. This study investigates emotional and cognitive drivers behind ChatGPT’s popularity and its role in shifting toward Learning 3.0, a technology-driven, student-centered paradigm. It analyzes how human-AI interaction fulfills functional and social-emotional demands using CASA, relationships motivation, and TAM. Results suggest personal AI trainers may strengthen self-regulated learning, while highlighting ethical risks requiring balanced educator use.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages10

Reading Time25 min

AccessFree to download

Abstract

Highlights

What this paper contributes

Implications for theory, practice and/or policy

Introduction

Literature

Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID- 19 and Learning 3.0 Era: A Case Study of ChatGPT Lingfei Luan, Xi Lin, Yan Dai, Shu Hu, Qianlu Sun Abstract: The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift towards a technology-driven, student-centered educational paradigm known as Learning 3.0. This study examines how ChatGPT accomplishes functional needs through human-AI interaction, such as effective task performance and social and emotional demands. This is achieved by integrating theories like the Computers Are Social Actors (CASA) paradigm, Relationships Motivation Theory, and Technology Acceptance Model (TAM) . The study claims that personal AI trainers like ChatGPT could reinforce self-regulated learning strategies, responding to an increasing need for remote education due to the COVID-19 pandemic. This paper establishes ChatGPT as a personification of the concepts of 3.0 learning, which center on advancing abilities, customization, and customization using technological advancement to create study experiences suited to the student's needs. While acknowledging limitations in the concept and the need to produce statistical facts through research, the researchers underline its potential for transforming education systems and enhancing human understanding. In addition, this paper brings up important ethical issues that must be considered for generative AI technologies to be widely used in education and academia. Educators must choose how to achieve an appropriate balance: leveraging technology to enhance learning while safeguarding the students they teach from potential risks. Keywords: Artificial Intelligence (AI), ChatGPT, Learning 3.0, Online Education, COVID-19, SelfRegulated Learning, Human-Computer Interaction, Technology Acceptance, Educational Technology, Generative AI Highlights What is already known about this topic: ● Conversational AI systems like chatbots are increasingly used in education, but their implications are not fully understood. ● Self-regulated online learning became increasingly important during the COVID-19 pandemic. ● Concepts like Learning 3.0 describe a shift towards skills-based, personalized education enabled by technology. What this paper contributes: ● Analysis of ChatGPT's psychological appeal in terms of emotional needs and technology acceptance model. ● Discussion of ChatGPT's potential to transform online education towards the Learning 3.0 paradigm. ● Perspective on AI advances enabling co-evolution between human capabilities and education systems. Implications for theory, practice and/or policy: ● Advances understanding of human-AI interaction and effects on learning. ● Informs educators on effectively leveraging AI for customized student support. ● Suggests proactively designing education policy and systems around emerging technologies like ChatGPT. ● Raises need to study the impacts of AI on human cognition and the labor market. Introduction The rise of AI systems such as ChatGPT has prompted extensive discussions and debates worldwide in many areas, particularly in education. ChatGPT, an AI developed by OpenAI, is a conversational AI based on the GPT-3 language model with a massive 175 billion parameters to process ( Brown et al. , 2020; Floridi & Chiriatti, 2020) . The utilization of a word-driven dialogue system offers assistance in cross-domain problem resolution and the generation of content to answer users' inquiries. Within one week of its introduction to the public, one million consumers had signed up for the platform (Haque et al. , 2022) . This has spurred a discussion over the implications of ChatGPT in various fie

FAQs

What does the study examine about ChatGPT’s role in education?

It examines emotional and cognitive factors behind ChatGPT’s popularity and how human-AI interaction supports functional performance and social-emotional needs in Learning 3.0 contexts.

Which theories are used to explain ChatGPT’s effectiveness?

The study integrates CASA (Computers Are Social Actors), Relationships Motivation Theory, and the Technology Acceptance Model (TAM).

What practical and ethical implications does the paper emphasize?

It suggests educators can leverage AI for customized student support while maintaining a balance that protects students from potential risks of generative AI use in education and academia.

Oct 15, 2026

Uploaded by Mabel