Generative artificial intelligence (AI) powered conversational educational agents - The inevitable paradigm shift

Oct 15, 2026

Uploaded by Aran

Generative artificial intelligence, especially ChatGPT, is presented as a major advancement in NLP large language models with significant implications for education. The paper examines how generative AI can use language to function as a conversational agent, stressing that its understanding is pattern- and structure-based from training data and may produce imperfect outputs. Prompt engineering is identified as an emerging form of digital literacy. The study emphasizes vigilance, prudence, and human responsibility, and concludes that education will require new thinking and preparedness for AI-dominated teaching and learning.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages7

Reading Time18 min

AccessFree to download

Highlights

What is already known about this topic

What this paper contributes

Implications for theory, practice and/or policy

Introduction

Generative AI and the next big thing (!)

Generative AI and Reflections from the Scholarly Domains

Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift Aras Bozkurt Abstract: Generative AI, specifically ChatGPT, represents a significant technological advancement in natural language processing (NLP) large language models (LLM) with far-reaching implications in many dimensions of our lives, including education. This paper discusses the prospects of generative AI in utilizing language and its potential role as a conversational agent within the educational realm. Emulating the most advanced human technology, language, generative AI’s success relies on understanding and generating human-like text. However, its comprehension is solely based on patterns and structures it learns from its training data. With the advent of AI-driven conversational agents, prompt engineering emerges as a vital form of digital literacy. The convergence of general and educational technologies necessitates preparedness for a future dominated by AI. This paper highlights the importance of vigilance and prudence in harnessing the potential of generative AI technologies, emphasizing the responsibility of humans, as creators, in mitigating any potential mishaps. In conclusion, this paper suggests that preparedness for a future dominated by AI is essential, as generative AI technologies have the potential to profoundly impact teaching and learning methods, and necessitate new ways of thinking. Keywords: ChatGPT, generative artificial intelligence (AI), machine and deep learning, natural language processing (NLP) , artificial intelligence in education (AIEd), education, teaching and learning. Highlights What is already known about this topic: • AI has been used in many dimensions of our lives, including teaching and learning processes. • Generative AI is capable of mastering one of the most sophisticated soft human technologies, that is, language. • Generative AI's comprehension is limited to patterns and structures learned from training data, which may result in imperfect outputs. • While humans learn and reason, machines are indeed trained, and they predict. What this paper contributes: • This paper explores generative AI’s success in understanding and generating human-like text relies on analyzing complex patterns and structures of human language. • This paper provides a critical approach to human-computer interaction enabled by generative AI. Implications for theory, practice and/or policy: • The ability to effectively communicate with generative AI is critical and thus prompt engineering emerges as new digital literacy. • Research on responsible AI can be prioritized to balance the rising concerns and to better benefit from generative AI. • The distinction between human and artificial intelligence may become subtle in the future, with the nuances lying in the difference between human creativity and algorithmic generation. • Generative AI is poised to have a profound impact on teaching and learning methods and requires preparedness for a future dominated by generative AI. Introduction: Generative AI and the next big thing (!) The real technology-behind all our other technologies-is language. It actually creates the world our consciousness lives in.—Andrei Codrescu Throughout history, technologies utilizing language have been major turning points. These include the invention of writing, which enabled the symbolic processing of language; the printing press, which facilitated the dissemination of knowledge more widely and rapidly ; and the creation of computers, which were capable of processing binary language. In the age of digital information and technology, ChatGPT, a generative AI model developed by OpenAI (2022) using natural language processing (NLP), represents one of the most significant technological advancements. ChatGPT is specifically designed to excel in NLP applications such as chatbots, virtual assistants, language translation, and text generation.

FAQs

How does the paper describe the role of ChatGPT in education?

It discusses generative AI as a conversational agent that can leverage language capabilities within the educational realm, influencing teaching and learning methods.

Why is prompt engineering considered important?

Prompt engineering is framed as a vital digital literacy skill for effectively communicating with generative AI systems.

What limitation of generative AI is highlighted in the paper?

Its comprehension is based on patterns and structures learned from training data, which can lead to imperfect outputs.

Oct 15, 2026

Uploaded by Aran