A New Reciprocal Teaching Approach for Information Literacy Education under the Background of Big Data

Abstract

The library is an important platform for readers to acquire information, and also shoulders the responsibility to cultivate readers’ information literacy. How to enhance information literacy is a public service issue that warrants prompt solution. In this study, we establish a reciprocal teaching mode composed of four elements: teacher, student, learning content and interaction-supporting platform, based on the reciprocal teaching theory, in combination with the characteristics of information literacy training in information-based libraries, uses virtual reality (VR) technology to produce verisimilar teaching resources and build a virtual reading environment and a virtual reading community, to enable readers to discuss, read and evaluate under a dynamic reading mode. Meanwhile, a new reciprocal teaching technique of “Rain Classroom” is also introduced innovatively. We first conduct a quantitative evaluation on information literacy using fuzzy comprehensive evaluation method, then verify and correct the evaluation results using data mining technology, so that objective and accurate results can be obtained for the evaluation of readers’ information literacy. After the implementation of this library learning mode, through a questionnaire survey and analysis, it is concluded that the proposed mode can help the library spread knowledge, improve the effect of information literacy.