O2O Iterative Project-based Teaching Model for Literature Course

• Main Author: Yin Dai
• Format: Article
• Language: English
• Published: Kassel University Press 2020-08-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: o2o iterative project; evaluation; classification and regression tree algorithm; blended teaching
• Online Access: https://online-journals.org/index.php/i-jet/article/view/15711

As a main course of Chinese language and literature major in colleges, Literature Course is one of required courses for students majoring in journalism, hosting and broadcasting, which can cultivate students’ favorable humanistic quality and promote their specialty development. However, some problems exist in traditional teaching process, such as low interest in linguistics, insufficient interaction between teachers and students, and single evaluation system. Starting from Merrill’s chief teaching principle and aiming at teaching deficiencies of Literature Course, this study innovatively introduced O2O iterative project-based teaching model to establish an iterative teaching model based on online and offline integration. In combination of the question-based teaching method, four teaching steps including “construction, guidance, tutoring and introspection” were designed under the cooperation of O2O space environment and collaborative mechanism, and a brand-new implementation framework for linguistics teaching was tentatively constructed. To test the effect of this teaching mode, classification and regression tree (CART) algorithm of data mining technology was applied to compare and evaluate teachers’ teaching ability before and after the implementation of this teaching mode. It is found that, this teaching reform contributes to cultivating students’ critical thinking and innovation ability, and enhancing their academic research spirit and ability of language theory application.