This paper provided a systematic review of previous Augmented Reality (AR) and Virtual Reality (VR) studies on language learning. A total of 88 articles were selected and analyzed from five perspectives: their ways of integrating AR or VR tools in language learning; main users of AR and VR technologies; major research findings; why AR and VR tools are effective in promoting language learning; and the implications. It was found that (1) immersing learners into virtual worlds is the main approach to language learning in AR and VR studies; (2) university students were the main users of AR/VR technologies; (3) the major research findings concerning the benefits of AR and VR included improvement of students’ learning outcomes, enhancement of motivation, and positive perceptions towards using AR and VR; (4) AR and VR tools promoted language learning through providing immersive learning experience, enhancing motivation, creating interaction, and reducing learning anxiety; and (5) implications identified from previous research include the need of providing training for teachers, enlarging sample sizes, and exploring learner factors such as learner engagement and satisfaction.

Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the literature on AWE feedback for writing in terms of methodology, types of learners, types of feedback and its applications, learning outcomes, and implications. A total of 48 articles from Social Science Citation Index journals and four other important journals in the field of language education were collected and analyzed. The findings revealed that most previous studies on AWE applied quantitative research methods, rather than purely qualitative ones. The duration of the experiments in approximately 33% of the studies was shorter than ten weeks, and 10% of the studies were of one session only. The group size of over half of the studies had fewer than 30 participants, and 21% of the studies had medium to large group sizes (from 51 to 100). The focus of most of the articles was on L2 writers with little attention paid to L1 writers and K12 students. AWE feedback to some extent can improve students’ writing from the product-oriented aspect but is not as effective as human feedback (e.g. teacher or peer feedback). Students generally considered AWE feedback useful and were motivated when using it, although they noticed a lack of accuracy and explicitness as the feedback tended to be generic and formulaic. The results of the review have several implications for researchers, teachers, and developers of AWE systems.

The chatbot has been increasingly applied and investigated in education, along with many review studies from different aspects. However, few reviews have been conducted on chatbot-assisted learning from the pedagogical and implementational aspects, which may provide implications for future application and investigation of educational chatbots. To fill in the gaps, we reviewed relevant studies from the pedagogical and implementational aspects. Forty-six articles from Web of Science and Scopus databases were screened by predefined criteria and analysed step by step following the PRISMA framework. The finding showed diversified learning activities (i.e. exercise, instructions, role-playing activities, collaborative product design, independent writing, storytelling/book-reading, digital gameplay, and open-ended debates) that chatbots could support through presenting knowledge, facilitating practices, supervising and guiding learning activities, and providing emotional support. Chabot-assisted learning was applied in 14 disciplines, mostly in-class for one session, and had overall positive outcomes from academic and affective aspects. Based on the review results, we proposed a RAISE model of effective chatbot-assisted learning: Repetitiveness, Authenticity, Interactivity, Student-centredness, and Enjoyment. We identified eght theories that might be useful in analysing and supporting chatbot-assisted learning: constructivist theories, situated/contextualised learning theories, cognitive theories of multimedia learning, self-regulated learning theories, output hypotheses, flow theory, collaborative learning theories and motivation theories. Future studies on chatbot-assisted learning may be conducted on the use of theoretical frameworks, the application of various technological-pedagogical approaches and learning activities, and the long-term, out-of-class implementations in new areas.