In the context of the development of artificial intelligence and mobile learning, it remains to be empirically verified how university English oral language teaching can restructure teachers’ behaviors and enhance students’ oral language abilities. This paper introduces a mobile learning platform with intelligent assessment and learning analysis functions into the university English oral language course, and constructs a blended teaching model based on the BOPPPS-PADD framework. It adopts a non-equivalent pre-test-post-test quasi-experiment and combines questionnaires and interviews for a mixed study. The results show that artificial intelligence empowering mobile devices promotes teachers’ behavioral changes in task design, classroom interaction, and formative evaluation, and enhances students’ participation; the total score of the experimental group students’ oral language improved compared to the pre-test, and they made significant progress in fluency, accuracy, pronunciation, and conversation dimensions, and the platform usage behavior was positively correlated with the improvement of oral language. The study shows that artificial intelligence empowering mobile devices helps optimize the blended teaching of university English oral language.
Povzetek: This study focused on the university English oral communication course and introduced artificial intelligence to empower the mobile learning platform. A BOPPPS-PADD blended teaching model was constructed. The analysis was conducted through a pre-test and post-test quasi-experiment combined with questionnaires, interviews, and platform logs. The results showed that the empowerment of AI through mobile devices enabled teachers to pay more attention to task chains and formative evaluation in their classroom designs. Students’ oral fluency, accuracy, and related indicators all showed clear improvement. Platform use was positively correlated with learning engagement and gains in academic performance.
