English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students’ original writings in helping to improve their writing abilities. Therefore, we developed Smart RoamLingo app to help writing meaningful content in authentic contexts with sample sentences based on texts generated by recognition technologies named as AI-Sample Sentences (AI-SS) and writing qualities with revision suggestions based on personal original writings named as AI-Writing Feedback (AI-WF). 104 undergraduate students were assigned into an experimental group (EG) and two control groups. EG significantly outperformed the other groups in the post-test. In EG, AI-SS can help the contextualization to produce comprehensive content actively while AI-WF can help the personalization to improve the writing quality through several revisions. Hence, the cohesion and consistency of their writing can be enhanced. Further, the total number of revisions in practices and the assignment score can significantly predict the post-test. Moreover, EG students revealed that Smart RoamLingo was useful for EFL writing. Therefore, it is strongly suggested to use Smart RoamLingo with AI-SS and AI-WF for EFL writing in authentic contexts.

This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into ‘designed talk’ and ‘free talk’, based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic descriptions, respectively. The mechanisms in Smart UEnglish were designed in consideration of flexible, sustainable and adaptive conversations to improve English-speaking and lexical resources. Statistical analysis results show that the learning achievement of the experimental group is significantly higher than that of the control group. Moreover, both ‘designed talk’ and ‘free talk’ have significant positive correlations with learning achievement. Further analysis with stepwise multiple regression found that ‘designed talk’ plays the most important role and can significantly influence learning achievement. This is because ‘designed talk’ can motivate them to practice what they learned in class during their daily conversations and consolidate the understanding and applying of English vocabularies and sentence patterns through ‘designed talk’. According to interview records, participants also perceived that using Smart UEnglish for conversation practice in authentic contexts can stimulate their interests and ideas to think and practice more useful English conversation. Hence, Smart UEnglish can effectively help English-speaking and conversation in authentic contexts anytime and anywhere.

This study investigated three aspects: how project-based collaborative learning facilitates cross-cultural understanding; how students perceive project-based collaborative learning implementation in a collaborative cyber community (3C) online environment; and what types of communication among students are used. A qualitative case study approach was applied to explore these aspects using a variety of data sources. First, students’ reflections were evaluated to determine their level of cross-cultural understanding. Second, students’ messages on the discussion board were analysed to explore their cross-cultural learning process and types of communication. Third, interviews were conducted with the students and their instructor to investigate their experiences and perceptions with respect to project-based cross-cultural learning. Results of this study show that cross-cultural learning took place in the 3C online environment. Folk games, learning activities, were interesting, drew students’ attention, and stimulated their motivation. The students and the instructor positively perceived the 3C online environment as it created an authentic learning environment by connecting students from different cultures. Educational, technical, and communicative types of communication in the 3C environment were derived; however, only communication of the educational type could facilitate cross-cultural understanding. Based on the results, this study provides implications and suggestions for the teaching and research community in the field.