Given the demands on instructors created by the COVID-19 pandemic, teachers have been compelled to integrate active learning pedagogies supported by mobile technologies to sustain students' interactive engagement. This study describes the implementation of a novel active pedagogy - the collaborative problem-based learning and peer assessment (Co-PBLa-PA) method, implemented through interactive online whiteboards (IOWBs) in junior secondary mathematics classes in Hong Kong. Data were collected from 87 Form 1 students and analysed to test three hypotheses postulating the main effects of the Co-PBLa-PA method on students' learning approaches using IOWBs. A pre-survey (SPQ) on students' learning approaches and a post-survey (SPQ) on students' learning approaches and their perceptions of technology-enabled active learning (TEAL) were administrated. Results showed the Co-PBLa-PA method, using IOWBs, increased students' learning performance and promoted significant deep learning. A significant positive correlation also emerged between deep learning approaches and students' perceptions of TEAL using IOWBs. Finally, limitations and directions for future research are discussed. Copyright © 2023 Inderscience Enterprises Ltd.

Independent language learning is paramount for those wishing to develop proficiency in a second or foreign language. Language learners often have few opportunities to communicate and interact actively in their target language. In this two-phase study, a chatbot was developed to assist second-language learners at a tertiary education institution in Hong Kong with independent language learning. I employed a questionnaire (N = 128) followed by semi-structured interviews (N = 12) to gain holistic insight into learners' experiences with the chatbot. The results suggested that the participants enjoyed interacting with the chatbot both in and out of class and perceived that it improved their English skills. These findings have implications for language teachers and the future development of chatbots. Copyright © 2023 Inderscience Enterprises Ltd.