Keyword: generative AI

ABSTRACT: ver the past decade, the growth in generative artificial intelligence (GenAI) is reshaping and changing how we interact, learn, and work and is likely to bring ongoing change in the future. However, current educational understandings, frameworks, and models concerning digital technologies and digital literacies are remaining relatively static and hierarchical and do not adequately accommodate GenAI’s unique learning capabilities, creative potential, and agency. In this conceptual article, we use critical dialogic inquiry and employ ecological thinking using the notion of symbiosis and posthuman perspectives to explore and speculate about the nature of GenAI and its potential impact on educators and learners. We offer a new way of conceptualizing human relationships with GenAI, which we call “symbi(AI)tic understandings.” Symbi(AI)tic understandings acknowledge the evolving and contextual relationships between partners: from balanced mutualism to one-sided commensalism to potentially harmful parasitism. Thus, we position human–GenAI relationships as part of change futures in which there are complex associations between technology and human endeavor. These understandings aim to foster more nuanced ways of being with and thinking about technology: ways which are vital for educators and learners as they transition into an era of education with AI.

ABSTRACT: Contemporary advances in generative AI technology have sparked considerable interest regarding its application in language education. This article explores the innovative impact that AI-powered linguistic educational tools may have, such as customized learning journeys, dynamic content, and individualized feedback mechanisms, which collectively have the potential to enhance language acquisition. At the same time, it is important to recognize the constraints associated with such technologies. Concern about maintaining precision and genuineness within AI-crafted language texts is an issue in the literature. There is also caution about AI’s current inclination to standardize language expression and to propagate limited cultural narratives, alongside the risks of overreliance on technology which may diminish analytical thought and inventiveness. This article examines the ethical considerations involving generative AI, such as the authenticity of creative work and the ownership of intellectual output. Emphasizing the necessity for clarity and conscientiousness in the application of AI, this conceptual article outlines the opportunities, limitations, and ethical concerns associated with generative AI in language instruction. This article advocates for a well-rounded strategy that
leverages the positive aspects of generative AI within language education, while also addressing possible drawbacks and championing an ethical and equitable approach to language learning in the emerging AI-centric digital landscape. A model for forging thinking in this new research and practice space is offered to synthesize many of the possibilities of generative AI in language education.

ABSTRACT: In the rapidly evolving landscape of English composition education, the integration of AI writing tools like ChatGPT and Claude 2.0 has marked a significant shift in pedagogical practices. A mixed-method study conducted in Fall 2023 across three sections, including one English Composition I and two English Composition II courses, provides insightful revelations. The study, comprising 28 student respondents, delved into the impact of AI tools through surveys, analysis of writing artifacts, and a best practices guide developed by an honors student. Initially, the study observed a notable anxiety and mistrust among students regarding the use of AI in writing. However, this apprehension gradually subsided as students increasingly integrated these tools into their writing processes, indicating a shift from skepticism to practical application. The analysis of writing artifacts, particularly early drafts, revealed distinct patterns of AI tool usage, differentiating between students utilizing the tools effectively and those attempting to shortcut the writing process. The final papers, while not overtly indicating AI usage, demonstrated nuanced integration of AI in iterative and recursive tasks like refining arguments and developing ideas at the paragraph level. This suggests a trend toward a hybrid model of writing instruction, where traditional methods are complemented by strategic use of emergent technologies. The study underscores the importance of revised instructional strategies that blend conventional writing techniques with guidance on effective and ethical AI tool usage. It highlights the potential of AI tools in supporting the writing process while also cautioning against over-reliance. The findings of this study offer valuable insights for educators and institutions aiming to develop a balanced and effective hybrid writing instruction model, catering to the needs of contemporary English composition classrooms while maintaining academic integrity.