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Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
Luzhen Tang; Kejie Shen; Huixiao Le; Yuan Shen; Shufang Tan; Yueying Zhao; Torsten Juelich; Xinyu Li; Dragan Gaševic; Yizhou Fan – Journal of Computer Assisted Learning, 2024
Background: Learners' writing skills are critical to their academic and professional development. Previous studies have shown that learners' self-assessment during writing is essential for assessing their writing products and monitoring their writing processes. However, conducting practical self-assessments of writing remains challenging for…
Descriptors: Self Evaluation (Individuals), Formative Evaluation, Writing Assignments, Writing Skills
Julianna Lopez Kershen; Brianne Johnson – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This conceptual article makes the argument that the fields of English language arts and composition studies require a more robustly elaborated theoretical perspective on the identity development of preservice teachers as teachers of writing due to the rapid proliferation of AI-assisted technologies in learning spaces. Thus, the authors utilized…
Descriptors: Writing Teachers, Artificial Intelligence, Theories, Technology Uses in Education
Shiyi Liu; Juan Zheng; Tingting Wang; Zeda Xu; Jie Chao; Shiyan Jiang – AERA Online Paper Repository, 2024
This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Language Arts
Matthew Christopher Myers – ProQuest LLC, 2024
This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…
Descriptors: Language Arts, Teacher Attitudes, English Teachers, Automation
Julia H. Kaufman; Ashley Woo; Joshua Eagan; Sabrina Lee; Emma B. Kassan – RAND Corporation, 2025
Using survey data from the RAND American Educator Panels, the authors examine the use of artificial intelligence (AI) tools and products among teachers and principals in kindergarten through grade 12 (K-12) and the provision of school guidance on the use of AI during the 2023-2024 school year. The results indicate that 25 percent of surveyed…
Descriptors: Technology Uses in Education, Technology Integration, Artificial Intelligence, Elementary School Teachers
Paul Riser – English in Education, 2025
This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…
Descriptors: Ethics, English Instruction, Teaching Methods, Artificial Intelligence
Alexandra Thrall; T. Philip Nichols; Kevin R. Magill – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this study is to examine how young people imagine civic futures through speculative fiction writing about artificial intelligence (AI) technologies. The authors argue that young people's speculative fiction writing about AI not only helps make visible the ways they imagine the impacts of emerging technologies and the modes…
Descriptors: Artificial Intelligence, Information Technology, Futures (of Society), Fiction
Kathleen J. Kennedy; Jill M. Castek – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Empowerment, Elementary Secondary Education
Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
Ahmet Baytak – Research in Social Sciences and Technology, 2024
Following the emergence of chatbots, especially ChatGPT, researchers have begun to examine their capabilities, credibility, and reliability in educational context. In this study, ChatGPT and Google Gemini are used as technological tools to create 7th-grade lesson plans for mathematics, science, literature, and social studies classes. Using…
Descriptors: Lesson Plans, Content Analysis, Artificial Intelligence, Synchronous Communication
Brady L. Nash; Merideth Garcia; Carl A. Young; Kristen Hawley Turner; Mary Rice; Amy Piotrowski; W. Ian O’Byrne; Cherise McBride; Ewa McGrail; Clarice Moran; Troy Hicks; William Fassbender; Stefani Boutelier; Donna Alvermann – National Council of Teachers of English, 2024
As English language arts (ELA) teacher educators committed to growing students' passion for reading, writing, and thinking critically, the authors acknowledge the impact that emerging digital technologies have on educational practices. Generative artificial intelligence (GenAI) is one such technology that has sparked both excitement and concern.…
Descriptors: Artificial Intelligence, Teacher Education Programs, English Teachers, Language Arts
Cansu Tatar – ProQuest LLC, 2023
Artificial Intelligence (AI) literacy skills have become essential to prepare youths for 21st- century needs. Despite the efforts to broaden AI education in K-12 classrooms, teaching AI concepts is mostly limited to Computer Science classrooms. Nonetheless, approximately half of U.S. high school students cannot access any Computer Science classes.…
Descriptors: English Instruction, Language Arts, English Teachers, Teacher Attitudes
Ken Lindblom; Alexandra Rivera; Michael Radice – English Journal, 2020
The science of artificial intelligence, or AI, is leaping ahead as more resources are focused on its promise. In this article, the authors discuss the ways in which we have explored significant, critical questions about AI in a college literature course through reading young adult (YA) novels. Although it's improving, AI or machine intelligence is…
Descriptors: Artificial Intelligence, Adolescent Literature, Language Arts, Discussion (Teaching Technique)
Blanchard, Jay S.; And Others – 1987
Intended as a reference for researchers, teachers, and administrators, this book chronicles research, programs, and uses of computers in reading. Chapter 1 provides a broad view of computer applications in education, while Chapter 2 provides annotated references for computer based reading and language arts programs for children and adults in…
Descriptors: American Indian Education, Artificial Intelligence, Authoring Aids (Programing), Cloze Procedure
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