Although the relationship between the classroom learning environment and academic achievement has been explored in subject-free and disciplinary subject contexts, research into this relationship is still lacking in the context of interdisciplinary subjects. This study investigated the relationship between the classroom learning environment and student achievement in an interdisciplinary subject (i.e. liberal studies) in Hong Kong secondary schools. The mediating role of critical thinking was also explored. The participants were 410 Hong Kong secondary school graduates. The structural equation modelling analyses indicated that (1) the Content aspect of the classroom learning environment had an effect on the achievement in liberal studies, and this effect was not mediated by critical thinking; (2) the Pedagogy aspect predicted critical thinking skills, which in turn predicted the achievement in liberal studies; (3) the Relation aspect had no significant effects on critical thinking skills and student achievement in liberal studies. Suggestions on enhancing students' high-order thinking skills and achievement in interdisciplinary subjects were provided.
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In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a university in Hong Kong. This study aims to (1) explore the completion pattern of use of the online learning package by students in a generic undergraduate academic skills course; and (2) predict student outcomes based on their online behaviour patterns. Over three academic years, the study examined usage logs for 7000+ students that were available on the university's learning management system. Student assessment component scores, online activity completion rates, and online behavioural patterns were identified and examined using descriptive analysis, bivariate correlation analysis, and multiple regression analysis. The findings reveal insights into different online learning behavioural patterns that would benefit blended course designers. For instance, some students started using the online learning package early in the semester but fulfilled only the minimum required online work, whereas others greatly exceeded the basic requirement and continued doing activities in the online package even after the semester had finished. The relationship between learning activities in the online package and assessment component grades was found to be weak but meaningful. A regression model was developed drawing on the completion rates to predict overall student scores, and this model successfully identified several specific factors, such as total number of attempts and performance in individual online learning activities, as predictors of the final course grade.
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This paper focuses on peer feedback in relation to assessment processes. It examines the rationale for peer feedback, emphasizing its potential for enhanced student learning. We draw on relevant literature to argue that the dominance of peer assessment processes using grades can undermine the potential of peer feedback for improving student learning. The paper throws further light on the issue by drawing on a large-scale questionnaire survey of tertiary students (1740) and academics (460) in Hong Kong, supplemented by interview data. The findings indicate that a significant number of academics and students resist peer assessment using grades and that the majority report that students never or rarely grade each other in assessment activities. This paper explores why there is resistance, in particular, by academics to peer assessment and argues the case for a peer feedback process as an end in itself or as a precursor to peer assessment insolving the awarding of marks, It also recommends some strategies for promoting peer feedback, through engaging students with criteria and for embedding peer involvement within normal course processes.
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http://dx.doi.org/10.1080/13562510600680582]