Higher Degree by Research (HDR) students in language and education disciplines, particularly those enrolled in thesis-only programmes, are increasingly expected to interpret complex statistical data. However, many lack the analytical skills required for independent statistical analysis, posing challenges to their research competence. This study investigated the pedagogical potential of ChatGPT-4o feedback and peer feedback in supporting students’ evaluative judgement during a 14-week doctoral-level statistical analysis course at a research-intensive university. Thirty-two doctoral students were assigned to receive either ChatGPT feedback or peer feedback on a mid-term assignment. They were then required to complete written reflections. Follow-up interviews with six selected participants revealed that each feedback modality influenced their evaluative judgement differently across three dimensions: hard (accuracy-based), soft (value-based), and dynamic (process-based). While ChatGPT provided timely and detailed guidance, it offered limited support for students’ confidence in verifying accuracy. Peer feedback promoted critical reflection and collaboration but varied in quality. We therefore argue that strategically combining ChatGPT feedback and peer feedback may better support novice researchers in developing statistical competence in hybrid human–AI learning environments.

The New Zealand education system is recognised internationally for its overall high quality. At the same time, there is a persistent gap in achievement between students in low socio‐economic status (SES) schools in which there is an over‐representation of Māori and Pasifika students, and students in more affluent communities. In this paper, we present the findings of a study that explored the participation and achievement rates of secondary school students in selected literacy standards, and used classroom observations to record practices and resources used in literacy teaching. Our findings show the extent to which unequal opportunities to learn (OTLs) for Māori and Pasifika and other students from low SES communities exist at the systems level as well as at the level of classroom instructional offerings. We discuss the factors specific to the New Zealand curriculum and assessment systems that contribute to the current situation and suggest possible ways to achieve a more equitable outcome for all students.

Background: Since 1990, health policy in England has stressed the importance of user involvement in shaping and delivering services. Aims: To explore mental health service user-led organisations (ULOs) in England, as they interact with decision-makers to bring about change desired by them with a focus on institutional norms behaviour and specialised knowledge impacting service users’ relationships with services. Method: An ethnography of five ULOs in two provider organisations (NHS Trusts) including observing their meetings and interactions with decision-makers, conducting in-depth interviews and collecting reflective diaries kept by two members of each group. Results: During the study, one group ceased to operate. This was a group which refused to adopt the institutional rules and norms of managerial discourse. The other four groups survived by navigating the changing environment which existed at the time of the study, although often at some cost. Themes of autonomy and leadership were also identified. Conclusion: The current environment is one of the organisational complexity and change and the place of ULOs is an ambiguous one as they strive to maintain autonomy whilst at the same time being an acceptable voice to managers.

This book provides a theoretical and practical account of a successful design-based research-practice partnership, the Learning Schools Model. The Model has built school capability and improved valued student outcomes for primarily indigenous and ethnic minority students for over 15 years and across five countries.

Despite the salience of monitoring in self-regulated learning (SRL) and foreign and/or second language (L2) speech production in non-testing conditions, little is known about the metacognitive construct in testing contexts and its effects on learner performance. Given the reciprocal effects between L2 testing and L2 learning, a research effort in monitoring working in speaking tests, in particular computer-delivered integrated speaking tests, a testing format that has been advocated as an internal part of L2 classroom instruction and represents the future direction of L2 testing, is warranted. This study, therefore, serves as such an effort through investigating the use of monitoring by 95 Chinese English as foreign language (EFL) learners on a self-reported questionnaire after they performed three computer-delivered integrated speaking test tasks. Descriptive analysis followed by Hierarchical Linear Modelling (HLM) testing reveals that monitoring was used in a high-frequency manner, but it exerted no substantial effects on learner performance. Primarily, the results are expected to provide pedagogical implications for SRL: while fostering self-regulating learners, especially self-monitoring L2 speakers, it is necessary for L2 teachers to purposefully reduplicate testing conditions in their classroom instructions for helping the self-regulating learners be equally self-regulating test-takers. Moreover, the results are hoped to offer some insights into L2 testing through the perspective of self-monitoring, one proposed component of strategic competence, a construct that has been extensively acknowledged to reflect the essence of L2 testing.