Improving content area reading comprehension with 4-6th grade Spanish ells using web-based structure strategy instruction

Kausalai Wijekumar, Bonnie J. Meyer, Pui-wa Lei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reading in the content areas of science, social studies, and current events is a difficult task that is even more elusive to Spanish speaking English language learners. There is a huge increase in children transitioning from their L1 (e.g., Spanish) to L2 (e.g., English) in classrooms across the US. These ELs face challenges due to a lack of fluency in decoding, vocabulary, and word, sentence, and discourse level complexities in English learning. Structure strategy instruction on the Web for English Language Learners (SWELL) is a web-based tutoring system that supports ELs in reading comprehension by teaching them about five text structures. In addition SWELL provides two adaptations for ELs - Spanish Scaffolding (where students were presented materials in both Spanish and English) and English Hybrid (where students were given the option of seeking assistance in Spanish by hovering over words, clicking on sentences, or viewing a full page in Spanish). In this paper we report on the design and pilot studies conducted within five classrooms at grades 4,5, and 6. Our results show improvements in reading comprehension measured by researcher design measures.

Original languageEnglish (US)
Title of host publication11th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2014
PublisherIADIS
Pages158-164
Number of pages7
ISBN (Electronic)9789898533234
StatePublished - Jan 1 2014
Event11th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2014 - Porto, Portugal
Duration: Oct 25 2014Oct 27 2014

Publication series

Name11th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2014

Other

Other11th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2014
CountryPortugal
CityPorto
Period10/25/1410/27/14

All Science Journal Classification (ASJC) codes

  • Education
  • Artificial Intelligence
  • Computer Science Applications

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