The present study reports on the effects of a self-regulated (SRL) writing strategy-based intervention supported with e-learning tools on SRL strategy use in English writing with 468 Hong Kong primary school students. The changes to the students’ motivation in English writing, and their e-learning acceptance were also measured. The study adopted a pretest and posttest design and the data was collected through a questionnaire, which consisted of three measures, i.e. SRL writing strategy use, motivation in English writing, and e-learning acceptance. The SRL writing strategy use measure included four types of strategies, i.e. planning, text-generating, monitoring, and revising. The motivation measure had two scales, i.e. interest and self-efficacy, and the e-learning acceptance measure included four scales, i.e. perceived usefulness, perceived ease of use, attitude and continuance intention. The intervention saw significant improvements on the students’ use of all four types of SRL writing strategies. Positive changes also took place to one scale of motivation, i.e. interest, and three scales of e-learning acceptance, i.e. perceived usefulness, attitude and continuance intention. There was no significant improvement to self-efficacy and perceived ease of use. Additionally, the correlations between all the scales became stronger after the intervention. Important implications for teaching ESL/EFL writing through e-learning are drawn. Copyright © 2022 Taylor & Francis.

There has been an increasing concern on teachers’ adoption of information and communication technology (ICT) in their teaching practices. However, little has been explored about English as a second language (ESL) teachers’ ICT adoption. This study synthesizes the technology acceptance model (TAM), the value-expectancy theory, and a learning perspective to propose a model -for investigating ESL teachers’ continuance intention to use ICT in teaching. In the proposed model, motivational beliefs, ICT learning behaviors, facilitating conditions, and perceptions towards ICT use were put together to see how they worked together to influence continuance intention. Participants were 156 primary school ESL teachers in Hong Kong, who attended a teacher professional development program. Structural equation modeling showed that ICT self-efficacy and facilitating conditions were positively associated with continuance intention through perceptions (i.e. perceived ease of use and perceived usefulness). ICT anxiety had a negative effect, whereas interest had a positive effect on continuance intention. Growth mindset had a positive effect on continuance intention through learning of ICT (i.e. adaptive help seeking). Implications for teachers’ professional development programs are discussed. Copyright © 2021 Taylor & Francis Ltd.

This paper reports on a blended-learning project that aims to develop a web-based library of interpreting practice resources built on the course management system Blackboard for Hong Kong interpretation students to practise outside the classroom. It also evaluates the library's effectiveness for learning, based on a case study that uses it to assist in-class instruction of a first-year undergraduate interpretation course. Future improvements and modification of the library design and contents, and the implications of this case study for course design in blended learning and computer assisted interpreter training are also discussed.
[Copyright of Computer Assisted Language Learning is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/09588221.2013.770034]

The development of adequate collocational knowledge is important for foreign language learners; nonetheless, learners often have difficulties in producing proper collocations in the target language. Among the various ways of learning collocations, the DDL (data-driven learning) approach encourages independent learning of collocations and allows learners to directly use corpora and tools to search for proper collocations. Concordancers have been one of the key tools in the DDL approach. However, based on the findings of empirical studies, many existing web concordancers have not been very helpful in retrieving collocations. To help EFL students and teachers quickly locate proper collocates, this article introduces a web-based collocation retrieval tool, WebCollocate, which is based on a large part of speech-tagged Gutenberg corpus. To determine if the new tool can facilitate the searching of collocations, this tool and the Hong Kong Polytechnic web concordancer were used by two groups of college EFL students to find proper collocates in a translation task. The results showed that the students who used the WebCollocate tool found more proper English collocates. In addition, a group of 35 pre-service English teachers were also invited to evaluate the effectiveness of this collocation tool. These EFL teachers indicated that they could easily find proper English collocates with the help of WebCollocate. However, they also suggested that the search options and the presentation of search outcomes of this tool can be further improved. It seems that a more dedicated collocation retrieval tool can facilitate collocation teaching and learning, but the functions of this tool can be further enhanced. The findings of this study can be useful for language teachers, researchers, and developers of corpus-based tools.
[Copyright of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/09588221.2010.526945]

This article adds to computer-assisted language learning by extending a study on an essay critiquing system (ECS) feedback to secondary school language learners' writing. The study compared two groups of participants' performance, namely the treatment group which received both the system feedback and teacher feedback (i.e., blended learning mode), and the control group which received teacher feedback only. The study was conducted in a secondary school in Hong Kong in the form of an extra-curricular activity after school. Fifty-three students from the ages of 16 to 17 with different argumentative writing experience participated in a series of five writing workshops once a month voluntarily. The participants were assigned to a treatment and a control group based on the stratification approach. Their scores were compared and an interview with the treatment group was conducted. Analysing the total and content and organisation scores of the two groups, it was found that both groups demonstrated statistical significant gains. Nevertheless, the treatment group's gain appears to be more meaningful than the control group's in view of its group composition. The blended learning mode contributes to the encouraging results as revealed through the treatment group's scores, high rating and positive comments on both system and teacher feedback in the survey and interviews. The analysis also implies the need to improve the system feedback on paragraph coherence, workshop design and grading criteria.
[Copyright of Computer Assisted Language Learning is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/09588221.2011.630672]

Current computer-assisted language learning (CALL) research has identified various potentials of technology for language learning. To realize and maximize these potentials, engaging students in self-initiated use of technology for language learning is a must. This study investigated Hong Kong university students' use of technology outside the classroom to self-regulate their language learning. It showed that these students were actively engaged in the use of technology, but there were variations both among the students and in the aspects of language learning that they opted to support using technology. More importantly, this study unraveled the factors that influenced their selective use of technology in language learning.
[Copyright of Roeper Review is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/09588221.2011.568417]