Page - 244 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

4. Team-based Mobile Learning (TML) Model Drawing from the aforementioned models, here we propose a new and innovative model to guide team-based mobile learning in large-size classes. In the Team-based Mobile Learning (hereafter, TBML) model (Figure 5), mobile learning is integral to both formal classroom teaching and informal out-of-class learning through team-based projects. The projects may take on a variety of forms, such as slide presentation, art show, video and so on. There are two goals in conducting a team-based mobile learning project, specifically, the learning goal and performance goal. The former refers to students’ personal aim of mastery of the subject content. For instance, in an English as a foreign language course, students’ individual goal is to improve speaking, reading, writing, and translating abilities. Differently, the latter goal focuses on the enhancement of students’ collaboration and teamwork. Both the learning and performance goals work together to improve students’ self-efficacy and team potency. Figure 5. Team-based Mobile Learning (TBML) Model from Our Research 4.1 Intelligent Teaching Platforms Intelligent teaching platforms are teaching and learning tools dedicated to both learners and teachers. Similar with the traditional ones like Moodle and Blackboard, they can not only create accessible repository, but also provide interactive learning environment through synchronous and asynchronous class activities. More importantly, as intelligent learner-centered platforms, they integrate learning analytics, cloud computing, and adaptive technology. Moso Tech (hereafter, MT) in the study conducted by Zhu and Wang [4] is a typical example of an intelligent teaching platform. This platform becomes an integral part of the TBML model in Figure 5. On this intelligent teaching platform, instructors create team-based activities, facilitate mobile learning, and collect analytics on students’ learning status. Q.Zhuetal. /Team-BasedMobileLearning: AFramework forSupporting InteractiveLearning244