The codes are: 1) aim, 2) methodology, 3) sample, 4) country, and 5) outcomes. Using five codes obtained from previous systematic reviews, we performed an analysis and synthesis of these publications. Out of 87 publications found in 2020-2022, 17 were selected using exclusion and inclusion criteria from Web of Science (WoS) and Scopus.

In light of the widespread adoption and enabling power of immersive technologies and the potential applications of TELL, it is imperative that the literature be continuously investigated to identify the types and tendencies of recent studies in order to understand current practises and guide future research in the field with two research questions RQ1: What are the trends and practices of TELL in language teaching and learning? and RQ2: What are the research methodologies employed in TELL studies? This review carefully examines the overall research trends and practises in language education in order to chart the development of TELL during the past few years. Previous studies have shown that technology encourages both instructors and students to take an active role in the language learning process. Due to recent developments in the education sector, technology-enhanced language learning (TELL) has come into the spotlight. In recent years, the role of technology in language classrooms has grown in importance. It will guide you through the basic steps of setting-up and working in an NVivo project by briefly explain how to create a project, import sources, code text and create codes, identify relationships, create queries and reports, and generate visualizations of the data using tables and charts. This webinar will provide a brief introduction to the capabilities of the software including navigating the overall interface running visualizations and queries, and incorporating categorical data.

NVivo enables users to organize and analyse content from a wide range of materials such as interviews, focus group discussions, journal articles, surveys, audio, social media, videos and webpages. It is also increasingly used before the data analysis for conducting literature reviews. NVivo is a widely used qualitative data analysis software package that can shorten analysis timeframes, provide more thorough interpretation, and provide researchers with enhanced data management. Considering the complexity of managing and analysing large amounts of qualitative data, your efforts to analyse the data without utilizing a software may be more challenging and time consuming.

Qualitative data analysis with nvivo