Significant predictors for effectiveness of blended learning in a language course

Abstract

A wide variety of technologies combined with traditional classroom methods can make learning easier in the digital age. This paper studied undergraduate students' learning performance and satisfaction after they had studied in a blended setting and investigated if variables of learner characteristics and course features would be predictors for effectiveness in a blended course. Data were gained from 149 students enrolled in a fundamental English course at a private university in Thailand, using a 5-rating scale questionnaire. The results of the study demonstrated that students were satisfied with instructor, interactivity and course design, and the mean score of performance was higher than the criterion. It was found that attitudes toward blended learning, face-to-face support and digital literacy were three variables predicting learning performance while only two variables including face-to-face support and attitudes toward blended learning were two predicting variables of satisfaction with the course. However, workload management and online learning tools quality were not predictors of learning performance and satisfaction with the course. When designing future blended courses, instructors should pay more attention to face-to-face support, attitudes toward blended learning and digital literacy since these factors may have an impact on the course success.