The Realisation Path of Human-Computer Collaborative Learning in College English Teaching Based on Blended Learning Model

Abstract

Reforming and innovating the teaching mode of the university English program is crucial for cultivating students’ English literacy and skills. This paper utilizes the theory of multiple intelligences and other relevant theories, along with the fundamental requirements of college English teaching in the blended learning mode, to guide the design of an intelligent teaching platform-based human-computer collaborative learning path. Subsequently, we conducted teaching experiments and explored changes in students’ learning attitudes and other aspects of college English teaching through a questionnaire after conducting a reliability test. It was found that there was a significant difference between the experimental class’s post-test scores on college English learning and those of the control class, with a p-value of 0.029<0.05 for the post-test test of the total scores. Also, the experimental class’s learning attitudes toward college English teaching have been significantly improved, which is significantly different from those of the control class (p<0.05) and supports the effectiveness of implementing the HC collaborative learning pathway. This paper’s design for the human-computer collaborative learning implementation path can enhance the effectiveness of blended learning college English courses and better cater to students’ learning needs and interests through innovative, collaborative teaching methods.

Keywords

• human-computer collaborative learning
• intelligent teaching platform
• questionnaire
• reliability and validity test
• university english teaching.
• 68t05