Exploring Instructors' Practices And Perceptions Towards Artificial Intelligence Integration In Postsecondary Literacy Classrooms
Location
Universal Center
Start Date
29-5-2025 4:00 PM
End Date
29-5-2025 5:00 PM
Description
The integration of Artificial Intelligence (AI) in post-secondary literacy is seeing increasing prevalence in the classroom. However, there is a gap in the literature in which specifically studies have been done regarding teachers practices and perceptions towards AI in the post-secondary literacy spaces, specifically integrated reading and writing spaces at the post-secondary level. This dissertation will examine the various practices and perceptions of instructors toward AI-driven tools in integrated reading and writing classrooms. In integrated reading and writing classrooms, cultivating students' literacy skills is fundamental for developing critical thinkers and empowered learners. With AI becoming increasingly integrated into literacy instruction, there have been studies conducted specifically addressing AI's role in college writing within and English language learners (Aljuaid, 2024; Wang, 2024; Wang et al., 2024) however there is a gap in research specifically addressing AI's role in integrated reading and writing classrooms at the post-secondary level. Instructors' perceptions and practices significantly influence how AI can enhance students' literacy outcomes. While previous studies have explored AI in broader educational contexts (AlDhaen, 2022; Bearman et al., 2022; Bond et al., 2024; Crompton & Burke, 2023), focused research on AI's application in integrated reading and writing remains limited. This qualitative case study will examine how developmental literacy instructors perceive and utilize AI tools in their classrooms, as well as their experiences with this integration. Grounded in the Artificial Intelligence -Technological Pedagogical Content Knowledge (AI-TPACK) framework proposed by Celik (2023), along with Gee's (1999) discourse theory and Rosenblatt's (1994) transactional theory, this study will analyze how developmental literacy instructors' knowledge and discourse about AI shape their pedagogical approaches. This study will aim to address the limited research on AI integration in integrated reading and writing classrooms at the post-secondary level by exploring developmental literary instructors' perceptions and practices. It will further aim to provide instructors with insights into the potential role of AI in literacy development. Finally, this study will explore how professional development and prior AI knowledge impact instructors' ability to integrate AI tools effectively.
Recommended Citation
Edizer, Ayse Melodi, "Exploring Instructors' Practices And Perceptions Towards Artificial Intelligence Integration In Postsecondary Literacy Classrooms" (2025). Teaching and Learning with AI Conference Presentations. 153.
https://stars.library.ucf.edu/teachwithai/2025/thursday/153
Exploring Instructors' Practices And Perceptions Towards Artificial Intelligence Integration In Postsecondary Literacy Classrooms
Universal Center
The integration of Artificial Intelligence (AI) in post-secondary literacy is seeing increasing prevalence in the classroom. However, there is a gap in the literature in which specifically studies have been done regarding teachers practices and perceptions towards AI in the post-secondary literacy spaces, specifically integrated reading and writing spaces at the post-secondary level. This dissertation will examine the various practices and perceptions of instructors toward AI-driven tools in integrated reading and writing classrooms. In integrated reading and writing classrooms, cultivating students' literacy skills is fundamental for developing critical thinkers and empowered learners. With AI becoming increasingly integrated into literacy instruction, there have been studies conducted specifically addressing AI's role in college writing within and English language learners (Aljuaid, 2024; Wang, 2024; Wang et al., 2024) however there is a gap in research specifically addressing AI's role in integrated reading and writing classrooms at the post-secondary level. Instructors' perceptions and practices significantly influence how AI can enhance students' literacy outcomes. While previous studies have explored AI in broader educational contexts (AlDhaen, 2022; Bearman et al., 2022; Bond et al., 2024; Crompton & Burke, 2023), focused research on AI's application in integrated reading and writing remains limited. This qualitative case study will examine how developmental literacy instructors perceive and utilize AI tools in their classrooms, as well as their experiences with this integration. Grounded in the Artificial Intelligence -Technological Pedagogical Content Knowledge (AI-TPACK) framework proposed by Celik (2023), along with Gee's (1999) discourse theory and Rosenblatt's (1994) transactional theory, this study will analyze how developmental literacy instructors' knowledge and discourse about AI shape their pedagogical approaches. This study will aim to address the limited research on AI integration in integrated reading and writing classrooms at the post-secondary level by exploring developmental literary instructors' perceptions and practices. It will further aim to provide instructors with insights into the potential role of AI in literacy development. Finally, this study will explore how professional development and prior AI knowledge impact instructors' ability to integrate AI tools effectively.