Doctoral Dissertation: Integrating Artificial Intelligence into Freshman Composition Pedagogy: Challenges and Solutions for ENGL 1101 and 1102

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Description: This dissertation explores the integration of Artificial Intelligence (AI) into freshman composition courses (ENGL 1101 and 1102), focusing on the challenges and solutions related to AI's ethical use and its impact on student writing.

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Plan/Agenda:

1. Introduction: Overview of the growing role of AI in freshmen composition class and its potential applications in composition pedagogy.

2. Literature Review: Analysis of existing research on AI tools in education, focusing on composition instruction and AI-related challenges.

3. Methodology: Development of strategies for incorporating AI in writing classes, balancing ethical concerns with pedagogical goals.

4. Discussion: Exploration of AI tools like ChatGPT in writing tasks, including their benefits and ethical implications.

5. Evaluation: Assessment of the effectiveness of AI integration strategies in promoting academic integrity and student writing improvement.

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What I've Done:

1. Reviewed literature on AI in education and freshmen composition pedagogy.

2. Identified key challenges (e.g., academic dishonesty, over-reliance on AI) in integrating AI into writing courses.

3. Developed and tested strategies for ethical AI use in ENGL 1101 and 1102, focusing on in-class discussions and AI-assisted writing tasks.

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Research Statement: This research addresses the need for effective integration of AI into freshman composition courses, focusing on solutions to ethical challenges. The dissertation proposes a framework for using AI tools responsibly in the classroom, ensuring students enhance their writing skills while maintaining academic integrity. Through strategies like awareness-building discussions and AI-assisted writing tasks, I aim to guide students in leveraging AI as a tool to improve their writing, rather than as a shortcut, fostering long-term intellectual growth and ethical academic practices.