Few studies have explored primary school teachers’ e-assessment practices in conditions of emergency remote teaching caused by the COVID-19 lockdowns. This study explored Hong Kong primary school teachers’ e-assessment practices during the fifth wave of the COVID-19 pandemic from late January to March 2022, when all primary schools were closed and transitioned rapidly to online teaching. 48 teachers from different schools were individually interviewed. The participants reported a variety of e-assessment practices, which were categorised into three types: e-tests/exercises, alternative e-assessments and e-teacher feedback. It was found that participants cautiously approached e-tests for summative purposes but majorly for formative purposes. It was also found that the participants less frequently used alternative e-assessments and tried out e-feedback. The participants’ e-assessment practices were influenced by their own conceptions of the usefulness of e-assessment, others’ attitudes towards its use, and perceived behavioural control. Crises such as pandemics and climate disasters will inevitably disrupt education again in the future. The findings of this study encourage policy makers, researchers and teachers to rethink the purposes and process of e-assessment in primary classrooms, thus sustaining, deepening and focusing on learning in the ‘new normal’. COVID-19 pandemic provides an opportunity to break away from content-heavy summative assessment and to make effective use of technology to enhance formative assessment. Copyright © 2023 ICLT.

Assessment is an important aspect of mathematics teaching and learning. This paper aims to explore Hong Kong mathematics teachers’ views on online assessment during the COVID-19 pandemic. The data analysed is part of a larger project comprising an online survey and semi-structured interviews. This paper presents data from the survey responses of ninety-two teachers and from interviews of three teachers. Thematic data analysis is conducted, focusing on teachers’ views on assessment during online learning. Findings show that the forms of assessment that Hong Kong mathematics teachers conducted during the pandemic were similar to those from before the pandemic. They view online assessment mainly as assessment for and of online learning. This paper also discusses suggestions for online mathematics assessment. Copyright © 2022 left to the authors.

The effect of ICT use on students’ academic achievement continues to be debated. While positive, negative, and non-significant linear relationships have been reported in the literature, few studies have examined the non-linear relationship between ICT use and academic achievement. Guided by the Opportunity-Propensity framework, this study addressed this gap by examining the non-linear relationships between four types of ICT use and students’ academic achievement. A two-level multiple indicators multiple causes model was conducted using Mplus version 8.0 on a representative sample of 15-year-old Hong Kong secondary students (N = 6,037, mean age = 15.73 years, 48.9% girls) from 152 schools. The results showed a linear, negative link between ICT use at school and ∩-shape links between ICT use for outside-of-school learning (with the peak at the 50 percentile), ICT use for leisure (with the peak at the 80 percentile), and using ICT as a topic in social interactions (with the peak at the 1 percentile) and their academic achievement. These findings suggest that stakeholders should always take caution when promoting ICT use at school and ensure that its use does not interfere with students’ learning activities outside of school. Copyright © 2022 Elsevier.

In the face of Hong Kong’s high grade-retention rates, this study aimed to investigate how Hong Kong secondary schools’ grade-retention composition is associated with student performance and socioeconomic inequality in student performance. As the research questions involved analysis at the school and student levels, this study employed hierarchical linear modelling to analyse the Programme for International Student Assessment (PISA) 2018 data. While grade retention was often suggested to have a negative impact on repeaters’ performance in studies using the same-age comparison strategy, this study found that a higher proportion of retained students at school was not associated with a reduction in students’ performance. However, greater socioeconomic inequality in student achievement was found in schools with higher retention rates. In addition to providing plausible explanations for these findings, this paper discusses the potential role of the government’s retention policies in these respects. Copyright © 2022 Informa UK Limited, trading as Taylor & Francis Group.

This demo/poster will report a web-based assessment database funded by a Teaching Development Grant given to the present researcher, who designed and maintained the database and made it freely-accessible to students, teachers, teacher educators and researchers. The purpose of the database is to improve preservice teachers’ language assessment literacy and enhance their skills to design assessment instruments with sufficient quality and variety. The database stores selected language assessment tasks innovated by cohorts of postgraduate and undergraduate TESL students enrolled in the language assessment courses taught by the present researcher in a university in Hong Kong. During the demo/poster, I will present the theoretical framework underlying the design and organization of the database, how the database is integrated into the assessment literacy courses given to pre-service teachers, and an analysis of students’ reflections on their experience of using the database to learn to adapt, design and evaluate assessment tasks, as well as to validate teacher-designed language tests. At the end, I will discuss the project’s implications for language assessment literacy education of pre-service teachers and potential areas of AL research. Copyright © 2020 LTRC.

Blended learning pedagogical practices supported by learning management systems have become an important part of higher education curricula. In most cases, these blended curricula are evaluated through multimodal formative assessments. Although assessments can strongly affect student outcomes, research on the topic is limited. In this paper, we adopted a learning analytics approach to explore student engagement with formative assessments and the power of these assessments to predict student outcomes in an English for Academic Purposes courses in a Hong Kong university. The study retrieved the data logs from 7,815 students and used the data to analyze student engagement with the formative assessments. The results suggested that the students put effort into completing the assessments. The degree to which assessments predict learning outcomes depend on students’ level of subject knowledge and their understanding of the relevance of the assessments. This study showed that learning analytics provided reliable evidence for understanding students’ engagement and identifying at-risk students. Therefore, learning analytics research has the potential to inform pedagogical practice. Copyright © 2022 The Author(s).

This sequential mixed-methods study investigates washback on learning in a high-stakes school exit examination by examining learner perceptions and reported behaviours in relation to learners' beliefs and language learning experience, the role of other stakeholders in the washback mechanism, and socio-educational forces. The focus is the graded approach of the Hong Kong Diploma of Secondary Education English Language Examination (HKDSE-English), incorporated in 2012, that allows test-takers to choose between easier and more difficult sections for reading and listening-integrated skills papers. Inductive coding of focus groups involving 12 secondary students fed into the development of the Washback on Students' Learning questionnaire, which was administered to another 150 learners. Exploratory factor analyses of identified washback effects revealed four major types straddling different settings (classrooms, tutorial schools, learners' personal environment), and seven categories of mediating variables pertaining to learners themselves, other stakeholders, and societal influences. Simultaneous multiple regressions identified influential clusters of mediating variables and showed the strongest predictors for each macro-level washback type varied. At least one intrinsic and one extrinsic factor category significantly contributed to all types, reaffirming learner washback as a socially situated, negotiated construct. Implications related to the consequences, use, and fairness of the graded approach are discussed. Copyright ©2021 SAGE Publications.

As the content knowledge of English language learners and immigrant students is assessed in their less proficient language, the validity and fairness of assessments related to those students have been widely discussed. However, such assessment issues have not received much attention in rapidly expanding bilingual education programmes, where students learn content subjects through a second/foreign/additional language (L2) and are often assessed in that language. This paper addresses this research gap by examining the mediating effect of language of testing on students’ performance in content subject assessments. 387 question items in the Biology papers of a public examination in Hong Kong were analysed according to their cognitive and linguistic demands. The performance of 480 students (half taking the test in their first language and half in their L2) on the questions with different demands was then analysed with MANOVA and multiple regression. The results show that linguistic demands, especially productive linguistic demands (e.g. writing sentences and texts), had a more significant effect on the performance of students taking the test in their L2. These results underscore the role played by language in the academic achievement of bilingual education students, which in turn illuminate valid assessment design and pedagogy in these programmes. Copyright © 2021 Informa UK Limited, trading as Taylor & Francis Group.

This paper aims to report a case study of exploring the effect of "assessment for learning" on improving student learning and facilitating teachers' professional development in the examination-oriented context of Hong Kong. By adopting Variation Theory of the Lesson Study approach, data were collected through pre- and post-tests, interviews with students and teacher participants and observation field-notes in order to help diagnose students' learning difficulties and provide evidence for teachers to refine their teaching strategies to enhance students' learning effectiveness. The students' improvement in learning performance informed the teacher participants of the usefulness of 'assessment for learning' in the classroom. Copyright © Sage Publications Ltd.