Flipping the learning and teaching of reading strategies and comprehension through a cloud-based interactive big data reading platform

Abstract

This study investigates the learning approach of the designed Flipped Reading Platform (FRP) and its effects on primary school students’ general Chinese reading and comprehension capabilities. This study was undertaken as part of the Quality Education Fund project in Hong Kong, titled “Flipped Reading: Enhancing the Learning and Teaching of Reading Strategies and Comprehension in Chinese via an Interactive Cloud Platform.” This paper presents the design of the Interactive Cloud Platform FRP, which incorporates elements of both reading strategies and learning activities, and investigates the changes in students’ reading performance, applied strategies, and active learning level with the application of FRP. The results show the experimental students using the FRP in the pilot scheme generally gained more in three stages of reading comprehension, and that low-achieving students learned reading strategies better. Analysis of FRP log activities shows students’ active engagement in reading and perceived competence. Different learning outcomes were also found within the experimental group, categorized by BYOD and non-BYOD classes. Implications of the study show the effectiveness of FRP, and the design demonstrates how the reading measures integrated the assessment indicators of both international and local standards in the domain of Chinese Language reading. Further research can be developed to examine individual online reading performance and learning behaviour on FRP.