Workshop Classroom application of CALL
Using ChatGPT to scan text and adjust the text to the student's level
While many educators are familiar with using ChatGPT or similar AI tools for basic tasks such as text revision or prompt-based content generation, fewer are aware of their broader pedagogical applications. These include extracting text from scanned documents, adjusting reading levels to align with learners’ proficiency, and generating glossaries of challenging vocabulary with explanations in learners’ first language.
This workshop demonstrates how teachers can use ChatGPT or comparable tools to extract and adapt informational texts for classroom use. Participants will see how texts can be simplified to match students’ language abilities and transformed into dialogues involving a narrator and one or more students. These dialogues can be used for group practice, role-plays, or classroom performances. If time permits, the workshop will also introduce NoteGPT, focusing on podcast-creation features not currently available in ChatGPT.
Presentation slides, accessible via QR code, will provide step-by-step guidance for later reference, along with links to additional AI-supported functions, including text extraction from two-column layouts.
Participants who bring laptops will be able to create and save a text potentially useful in their own classes.
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Thomas Robb, Ph.D., University of Hawaii, is Professor Emeritus, Kyoto Sangyo University. He is a long-time user of CALL and the Internet and has created a number of websites and applications for Extensive Reading, student projects, interactive learning, and professional exchange. He is Chair of the Extensive Reading Foundation and Editor-in-Chief of TESL-EJ;org