Are We Facing an Algorithmic Renaissance or Apocalypse? - Generative AI, ChatBots, and Emerging Human-Machine Interaction in the Educational Landscape

Oct 15, 2026

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This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human–GenAI collaboration. Through data mining and analytical review of related literature, the paper identifies three core research themes: GenAI-powered chatbots in educational interactions, their role in enriching social learning, and their dual function as support and assistance in educational settings. It highlights human–GenAI interaction from social, psychological, and cultural perspectives, centering social presence as essential for teaching and learning.

LanguageEnglish

CategoryResearch & Report

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Pages12

Reading Time30 min

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Introduction: Teaching and Learning with Non-Human Agencies

Human-GenAI Interaction: The Emerging Fourth Type

Are We Facing an Algorithmic Renaissance or Apocalypse? Generative AI, ChatBots, and Emerging Human-Machine Interaction in the Educational Landscape Aras Bozkurt, Ramesh C Sharma Abstract: This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human-GenAI collaboration. By examining the related literature through data mining and analytical methods, the paper identifies three main research themes: the revolutionary role of GenAI-powered ChatBots in educational interactions, their capability to enrich social learning, and their dual role as both support and assistance within educational settings. This research further highlights the impact of human-GenAI interaction in education from social, psychological, and cultural perspectives, focusing on social presence as a fundamental component of the teaching and learning process. It discusses the integration of GenAI and ChatBots into education and considers whether this marks the dawn of an algorithmic renaissance that elevates educational experiences or an apocalypse that threatens the very essence of human learning and interaction. Keywords: Generative artificial intelligence, AI, GenAI, ChatBots, bots, conversational agents, natural language processing, machine learning, deep learning, interaction, human-GenAI interaction, communication, transactional distance, online learning, open and distance learning, distance education . Highlights What is already known about this topic: • Interaction and communication are one of the most important elements of social learning and interaction can also be achieved with non-living entities. • Generative AI can process, contextualize, interpret, and use human language better than generic AI. What this paper contributes: • This paper explores GenAI-powered ChatBots revolutionizing educational interaction. • This research examines conversational agents' role in enriching social learning. • This study highlights GenAI's dual role as support and assistant in educational processes . Implications for theory, practice and/or policy: • Because GenAI can mimic human language, there is a need to uncover new types of humanGenAI interactions. • As an entity capable of interacting and communicating effectively, GenAI's emergent roles in social teaching and learning processes can be explored. • Policies are needed to regulate the responsible use of GenAI-powered ChatBots in educational settings. Introduction: Teaching and Learning with Non-Human Agencies In educational ecosystems, teaching and learning processes involve various stakeholders, including non-living entities (Downes, 2022) . Connectivism, a theory proposed by Siemens (2004), argues that learning may reside in non-human appliances. This perspective is being credited with advancements in the field of artificial intelligence (AI), particularly with the emergence of generative AI technologies. The development of the first computer, ENIAC, marked a significant milestone in AI research, suggesting that humanity's millennia-long quest might finally be realized: AI could embody its soul through a computer and evolve independently (Bozkurt, 2023a; Şenocak et al. , 2023, 2024) . Subsequent advancements in computing technologies and educational technology (Bozkurt, 2024a) and AI have led to the introduction of generative AI by the end of 2022 (OpenAI, 2022), signaling a new era in this domain. Generative AI holds particular importance in the educational landscape by introducing novel forms of interaction. In digital and online learning environments, Moore (1989) identified three key types of interaction: learner-learner, learner-teacher, and learner-content. This framework has significantly influenced online distance education (Bozkurt, 2019), highlighting the dynamics and impact of these interactions. However, the digital transformation of education and the widespr

FAQs

What does the study examine about Generative AI and ChatBots in education?

The study examines how GenAI and ChatBots can transform educational interaction and communication, and what they imply for human–GenAI collaboration.

What research themes does the paper identify?

It identifies three themes: the revolutionary role of GenAI-powered chatbots in educational interactions, their capability to enrich social learning, and their dual role as support and assistance in educational settings.

How does the paper connect human–GenAI interaction to learning theory?

It frames interaction in education using perspectives such as transaction and highlights social presence as a fundamental component of teaching and learning, discussing impacts through social, psychological, and cultural lenses.

Oct 15, 2026

Upload by Mabel