Analyzing Data with AI in an Interview-Based Qualitative Study on Multimodality for Polylingual Higher-Education Students

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: Division D - Section 3: Qualitative Methodologies Virtual Poster Session

Abstract

Comprehension of complex unimodal print-based texts remains a challenge for many university EAL students who come to the academe from International and Domestic polylingual backgrounds. This problem urged designing and conducting this grounded in Vygotskyan socio-cultural constructivism qualitative case study, the major purpose of which was identifying more efficient multimodal ways to assist these populations with their deeper meaning making. Data were collected from multiple sources (e.g., quizzes to 1. audio-supported and 2. video-supplemented readings, observations, notes, and reflective semi-structured focus-group interviews of 12 purposefully sampled participants at a northeastern US university). Besides Saldaña’s thematic and value coding, software was used for data analysis. This research found that all participants prevalently relied on visual mode for multimodal reading supplementation.

Author

• Olga Gould-Yakovleva, Independent Researcher