Purpose: This study aimed to predict the achievement of pre-service teachers majoring in education through some learner characteristics like gender, self-directed learning readiness dimensions, and course context (being in the flipped learning class and traditional teaching classes). Research Methods: This study employed a relational survey research design and involved 271 pre-service teachers who were selected according to the purposive sampling method. Data were collected by implementing an achievement test and Self-directed Learning Readiness Scale and analyzed through the Hierarchical Multiple Linear Regression procedure. Findings: The findings of the study showed that in the first model, gender and desire for learning predicted the achievement of pre-service teachers. The second model revealed that being in a flipped learning class predicted the academic achievement of pre-service teachers than being in any other classes taught according to traditional teaching principles. Implications for Research and Practice: It is suggested that pre-service teachers are provided with opportunities to apply what they have learned theoretically. Also, it may be suggested that instructors include various computer applications, software, games, and videos from YouTube to increase the pre-service teachers' desire to learn. Lastly, for further studies, it may be suggested to include different variables in predicting the achievement of pre-service teachers.