B
Barley Mak
Researcher at The Chinese University of Hong Kong
Publications - 28
Citations - 864
Barley Mak is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Professional development & Curriculum. The author has an hindex of 9, co-authored 28 publications receiving 761 citations.
Papers
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Journal ArticleDOI
Using wikis to enhance and develop writing skills among secondary school students in Hong Kong
Barley Mak,David Coniam +1 more
TL;DR: The place of authentic writing, situated within the domains of creativity and task-based learning, in a school’s ESL programme is discussed, as an integral part of their ESL homework.
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An exploration of speaking-in-class anxiety with Chinese ESL learners
TL;DR: In this paper, the authors investigated factors contributing to the speaking-in-class anxiety of a group of 313 Chinese ESL first-year university students in Hong Kong and revealed five factors leading to the group's anxiety.
Proceedings ArticleDOI
Analyzing and predicting question quality in community question answering services
TL;DR: A Mutual Reinforcement-based Label Propagation (MRLP) algorithm is proposed to predict question quality in CQA and it is found that the interaction between askers and topics results in the differences of question quality.
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Cultivating a teacher community of practice for sustainable professional development: beyond planned efforts
Barley Mak,Shuk Han Pun +1 more
TL;DR: In this article, an ethnographic study-cum-action research document the cultivation of a community of practice for sustainable professional development among a group of 18 teachers of English as second language in Hong Kong through a series of planned efforts over 10 months.
Journal ArticleDOI
Distinguishing features in scoring L2 Chinese speaking performance: How do they work?:
Tan Jin,Barley Mak +1 more
TL;DR: This paper investigated the relationship between the distinguishing features of L2 Chinese spoken performances and the scores awarded by raters to the performances using holistic scoring, and found that each of the seven distinguishing features was significant.