Mark Brierley
Shinshu University
About
Advocate of Extensive Reading and Low energy building.Sessions
College and University Reading Around Graded Readers more
Sun, Sep 7, 18:15-19:00 Asia/Tokyo
Despite the variety of graded-reader (GR) titles in the major European languages, in their search for a “genuine” reading experience many curious learners and teachers peek beyond these GR at authentic literature. Although “authentic” books might seem incomprehensible for Japanese low-to-intermediate-level learners of German, this search is worthwhile because there are few truly low-level GR available. A previous book analysis of the Gruffalo and the positive feedback from students concerning the enjoyability of such a challenging book further fuel prospects of authentic texts. Considering the Japanese setting this study analyses Manga and children's books for their suitability as extensive reading materials. Keeping an eye on the balance between supporting factors such as pictures, familiarity and shorter idea-units on the one hand, and the challenging grammar and vocabulary on the other, we will present book analyses trying to map out strategies to identify appropriate reading material.
College and University AI supporting ER: Empowering Students as Content Creators more
Sun, Sep 7, 10:50-11:35 Asia/Tokyo
This presentation introduces an AI-powered platform, currently in development, that transforms students from passive consumers to active creators of reading material. Learners generate personalized stories with AI assistance, creating a dynamic library of student-led content that can be shared within the learning community. The system incorporates adaptive difficulty scaling to align texts with proficiency levels while maintaining coherence. Real-time tracking of student interactions offers insights into engagement and language challenges, with the potential to reveal patterns in content generation, learning trajectories, and attitudes toward reading. Features such as vocabulary support, AI-generated audio narration, and optional comprehension activities may further enhance autonomous learning. We will focus on how AI-driven analysis of student feedback informs refinements to both the system and pedagogical approaches in general. This presentation will showcase how the integration of AI technology can create an engaging, personalized, and data-informed learning environment while maintaining the core principles of extensive reading.
The Big ER Debate more
Sat, Sep 6, 15:10-16:50 Asia/Tokyo
Two teams will debate a controversial topic in the field of Extensive Reading. Watch this space for the topic and to find the members of each team.