ABSTRACT
This book chapter provides an overview of Temi, an autonomous, video-oriented personal assistant robot which was deployed within the Centre for Independent Language Learning (CILL) at The Hong Kong Polytechnic University. The artificial intelligence robot was chosen principally because of its role as a Robot as a Service (RaaS). Such a service can deliver greater self-improvement and better learning strategies (e.g. Cohen, A. D. (2014). Strategies in learning and using a second language (2nd ed.). Routledge., Dörnyei et. al., 2015, Wenden, Learner strategies for learner autonomy, Prentice Hall, 1991, Yang, Frontiers in Psychology 12:600, 218–600, 218, 2021) as well as foster beneficial attitudes and skills towards the users' long-term language learning success. Through its cloud-based system, Temi offers users access to dynamic interactions and enhanced CILL services, during the COVID-19 pandemic. As a whole, it appears that the introduction of Temi has proven to be an effective strategy to augment learners' autonomy. It further allows administrators to rethink how CILL services are conducted during human resource shortages. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In the midst of COVID-19 pandemic, many university courses delivered in English are conducted entirely online. However, if we continue using traditional teaching strategies and the same set of teaching materials, it would be extremely difficult for students, regardless of age, to focus in a 2- or 3-h synchronous online class. As such, many researchers and educators are exploring different ways to engage students in today's digitally connected world. This article explores how English as a Second Language (ESL) undergraduate students come up with emergency remote learning at The Hong Kong Polytechnic University during the COVID-19 pandemic. Using exploratory research design, one hundred university students from five English for Academic Purpose (EAP) classes who experienced blended learning using Badaboom!, a Game-based Student Response System (GSRS), for one semester were recruited to participate in the research. 30 students were interviewed to collect the data. The interview aimed to detail their responses so their strategies can be mapped clearly. The data reveal that the tertiary-level learners of this study feel that game-based classroom response system is useful for assisting them in overcoming ESL academic writing difficulties. The study reflects that, most students favour the interactivity and engagement afforded by Badaboom! due to the strong instructor-student and student-student interaction as well as students' increased engagement.