Collaborative Science Inquiry (CSI) is a pedagogical approach that fosters students’ scientific skills and competencies through group-based inquiry activities. However, CSI poses various challenges for teachers (i.e., recognizing the problems and needs of each group, identifying appropriate strategies to address them, and reviewing the impact of these strategies) to support students’ learning process across different contexts and social levels, especially in a Mobile Learning Environment (MLE). To address this problem, this study adopted Design-Based Research (DBR), aiming to design, develop, implement, and evaluate a theory-led LA tool on a mobile app, namely, the m-Orchestrate app to support teacher orchestration in CSI. The tool aligns with the inquiry cycle model and provides teachers with real time data and feedback on students’ inquiry progress, collaboration, and learning outcomes. The DBR lasted three years, involving four phases, including (1) Phase I: Analysis of practical problems in orchestrating CSI in an MLE, (2) Phase II: Design and development of a theory-led LA tool, (3) Phase III: Three iterative cycles of testing and refining the LA tool in practice, and (4) Phase IV: Reflection and further implementation of the LA tool. The researcher collaborated with two primary schools, four teachers, two pre-service teachers in General Studies, and around 250 students in Grade 4 in Hong Kong. The research questions focused on (1) investigating the affordances of the LA tool with theory-led and interactive design for teacher orchestration of CSI; (2) the impact of the tool on teacher orchestration in CSI; and (3) the impact of teacher orchestration supported by the tool on student performance in CSI. Data collection included log data from the LA tool and the m-Orchestrate app, teacher interviews, and students’ pre- and post-quizzes. Both qualitative and quantitative data analysis methods were adopted. The research findings show that (1) the affordances of the developed

This article reports on an exploratory study on developing and adopting a ‘Virtual Go Mode’ feature embedded in a mobile vocabulary learning app, VocabGo, to enhance students’ vocabulary learning engagement. Distinguished from other virtual reality (VR) or augmented reality (AR) applications, the Virtual Go Mode is designed for students to practice and consolidate their newly learned words via virtual location-based tasks with 360° Google Street View or pre-photographed panoramas. Google Cloud Vision, using an AI model, is embedded to identify objects and their corresponding tasks for students. A total of 15 primary students in Hong Kong participated in this exploratory study for one week. Both quantitative and qualitative data were collected and analyzed. The results showed that students’ vocabulary learning engagement was high when using the Virtual Go Mode. It is suggested that future research focus on empirical studies when designing and implementing virtual location-based tasks supported by VR technologies in class to provide opportunities for students to practice and consolidate newly learned words and enhance their learning engagement after the COVID-19 pandemic. Copyright © 2022 Informa UK Limited, trading as Taylor & Francis Group.