When discussing about CSL literary activities, most researchers focus on paper materials and theories of second or foreign language teaching are rarely applied. In order to go beyond the limitations, in this study we would like to explore the literary teaching activities when combining the digital materials and task-basking teaching method in the CSL classroom. One CSL teacher and 6 German students are invited to participate in this study. After the practice of CSL curriculum with digital materials and task-based teaching method, two results are found. First, in terms of task-based teaching method the CSL teacher spent more time on explaining than on doing and evaluating the language tasks. Second, with regard to difficulty, the CSL teacher would choose to lecture the class and skip the literary and discussion activities if the contents of digital materials were difficult. Therefore, we conclude that the CSL digital materials can provide students more literary opportunities; however, the CSL teacher may not change his/her teaching method and literary activities because of the use of digital materials.

This study examines whether the reinforcement theory would be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interact with a teaching assistant robot in a 3 (types of robots: positive reinforcement vs. negative reinforcement vs. both reinforcements) by 2 (types of participants: honor students vs. backward students), within-subject experiment. Three different types of robots, such as ‘Ching-chan-ee’ which gives ‘positive reinforcement’, ‘Um-bul-ee’ which gives ‘negative reinforcement’, and ‘Sang-bul-ee’ which gives both ‘positive and negative reinforcement’ are designed based on the reinforcement theory and the token reinforcement system. Participants’ task performance and reaction rate are measured according to the types of robots and the types of participants. In task performance, the negative reinforcement robot is more effective than the other two types, but regarding the number of stimulus, the less the stimulus is, the more effective the task performance is. Also, participants showed the highest reaction rate on the negative reinforcement robot which implies that the negative reinforcement robot is most effective to motivate students. The findings demonstrate that the participants perceive the teaching assistant robot not as a toy but as a teaching assistant and the reinforcement interaction is important and effective for teaching assistant robots to motivate students. The results of this study can be implicated as an effective guideline to interaction design of teaching assistant robots.