Analyzing Wooclap’s Competition Mode With AI Through Classroom Recordings

This article presents findings derived from the implementation of different modes of using an interactive response system in a Computer Engineering Degree course. The research focuses on the use of the Wooclap platform, which allows posing questions to students for real-time responses using their mobile devices. The designed experience addresses two modalities of platform use: one without competition and another with competition based on points. The methodology involves two distinct groups of students responding to the same questions, led by the same teacher in separate tests, using different platform modes. This quasi-experimental approach is based on data collection regarding student performance (correct responses to questions) and the overall level of classroom interaction during the tests. Furthermore, an audio recording analysis system supported by artificial intelligence is utilized to characterize the participation of the various actors involved.To further the analysis, transcriptions of the teacher’s oral interventions are examined, investigating the typology of these interventions and evaluating if the quantity and distribution of these types vary between the competition mode and the non-competition mode. The results reveal distinctive patterns in the level of student interaction during the tests, depending on the mode used, as well as in the type of interventions made by the teacher. Despite these variations, the results indicate that the mode of use does not have a significant influence on the performance achieved by the students.