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This chapter shows how to use meetings and feedback as core tools for making steady progress in a PhD. It explains how to structure advisor meetings so they create continuity, clarify priorities, and turn discussions into concrete next steps. It then reframes feedback as a collaborative process: asking targeted questions, seeking clarification, and responding thoughtfully across revisions. The chapter also encourages building additional feedback channels beyond the advisor, while learning to weigh comments critically. Common pitfalls such as hiding problems, passivity, defensiveness, and isolation are discussed, with practical ways to avoid them.
This chapter shows how to approach AI conferences as a deliberate investment. It explains how to prepare by scanning the program, setting goals, and arranging a few targeted conversations in advance. It then gives practical guidance for presenting your work, emphasizing clear slides, careful pacing, and rehearsal for talks, and simple, visually driven design for posters. The chapter also highlights the value of a short elevator pitch and of using informal moments to exchange ideas and gather feedback. The aim is to turn conferences into catalysts for learning, visibility, and collaborations that outlast the event.
This chapter distills practical lessons from real PhD journeys. Each story follows a simple arc: a common pitfall, the adjustment that helped, and the lesson that emerged. Themes include honest communication when you are struggling, engaging seriously with feedback, avoiding burnout through sustainable habits, and taking ownership of research direction. Other stories highlight the trade-off between exploration and commitment, the risks of overextending through side projects, how perfectionism can stall progress, and why resilience matters when publication timelines and reviews go badly. The goal is to make hidden struggles visible and turn them into actionable guidance.
Digging or soil-foraging vertebrates, such as the eastern bettong (Bettongia gaimardi), are important ecosystem engineers because of their role in bioturbation. We aimed to identify the structural, abiotic and biotic effects of the eastern bettong following their reintroduction, as well as the feedback and interactions between trophic and engineering effects. Each individual eastern bettong was estimated to dig approximately 218 pits per night and turn over 2,849 kg of soil in a year. This was more than any other digging species present (e.g., European rabbit, echidna and birds). Bettong diggings appear to facilitate seedling germination by creating small gaps in the grass sward, which are important for many native forbs. On the other hand, eastern bettongs were observed to selectively consume particular geophyte species, resulting in a significant decline in the early nancy (Wurmbea dioica) population at sites where bettongs were present. While eastern bettongs play an important role as ecosystem engineers, their effects on ecosystem function are complex and unpredictable.
Although prior studies have examined the role of artificial intelligence (AI) in supporting second language (L2) speaking development, limited attention has been paid to how feedback modes (i.e., dialogic vs. monologic) and delivery media (i.e., AI vs. non-AI) differentially shape learners’ oral performance and feedback literacy. Addressing this gap, the present study investigated a total of 120 intermediate learners of English who were recruited from language institutes and randomly assigned to four equal groups: AI-dialogic (ChatGPT), AI-monologic (ELSA Speak), non-AI-dialogic (Zoom), and non-AI-monologic (Audacity). Data were collected through a pretest–posttest speaking assessment, a feedback literacy questionnaire, semi-structured interviews, and analysis of recorded dialogic interactions. Quantitative findings revealed that the AI-dialogic group outperformed the other groups in both speaking proficiency and feedback literacy, followed by the non-AI-dialogic group, whereas the monologic groups made comparatively weaker gains. Qualitative analysis revealed that dialogic conditions facilitated clarification requests, confirmation checks, and self-repair, whereas monologic conditions hindered learner uptake and interaction. These findings demonstrate that the mode of feedback and its medium of delivery play a crucial role in oral development, carrying both theoretical and pedagogical implications for designing hybrid feedback practices that integrate AI’s precision with the co-constructive power of dialogue.
We here give a narrative account of Signs of Safety implementation in M, a poorly rated children’s social care department, overseen by a new director. This director worked hard to gain support from parties including department staff, partner agencies and local politicians for the reforms. Staff participated in many meetings about the reform plans and provided feedback, eliciting generally positive comments especially about the value base, but also concerns about Signs of Safety’s emphasis on relying on family networks. Implementation was undertaken using the Signs of Safety’s organisational Theory of Change, involving interconnecting strands of learning, leadership and organisational alignment of policies and procedures, working with partner agencies and oversight mechanisms to monitor use. We detail work undertaken as part of each of these strands, noting that, for illustration, we will apply our detailed evaluation method to some of these causal pathways in later chapters.
The new science of complex systems explains why Zelinsky’s cube is a good model of culture. It works well with economic markets–and also language in use. We can see the evidence that a complex system has operated in American English by looking at evidence from the Linguistic Atlas Project. Linguistic variants all show the same patterns of distribution, both overall in a population and in subset populations. These frequency profiles provide a challenge to traditional ways of thinking about language with grammars and dictionaries.
This chapter introduces learning methods – the essential phase that transforms action into growth. After trying out a prototype, it’s tempting to move on quickly. But real progress happens when we pause to reflect, extract insights, and adapt. The Growth Journey Map is the Core Method, guiding you to make sense of your experience – what you did, what you learned, and what that means for your next step. Two additional methods enrich this reflection: PPCO Hollywood Star, a constructive feedback tool adapted from screenwriting, and Start–Stop–Continue, a simple framework to clarify what to keep, let go, or try anew. Whether your prototype felt like a success, a flop, or something in between, these tools help you close the loop with clarity, deepen your self-awareness, and fuel your momentum with a growth mindset.
Chapter 6 explores different types of emissions and non-emissions (socio-economic) outcomes of mitigation policies and their relationship to reformulations of the politics of mitigation from 2008 to 2018. Here, social interaction is particularly important, as it is at this stage that social responses to policies can be better identified and accounted for in policymaking debates. Conceptually, this chapter leans quite heavily on public policy scholarship on how policy decisions, once made, can shape the politics of further rounds of policymaking – but with a greater degree of emphasis on the place of policy outcomes in these processes. Mitigation policy outcomes have had greater levels of impact on other policy goals, have been increasingly varied, and are contingent upon policy design. In this phase, then, mitigation policy became politicised in a number of ways – but with some emphasis on new constituents and on higher degrees of social interaction.
Feedback is integral to second language (L2) writing instruction. However, large class sizes and limited teacher time often challenge the delivery of personalized feedback, prompting interest in AI-powered solutions such as ChatGPT (Escalante et al., 2023; Huete-García & Tarp, 2024; Steiss et al., 2024; Yoon et al., 2023; Zhang, 2024). This study evaluates a task-customized GPT model, “Belinda,” trained to assess A1-level Spanish learners’ writing and provide feedback. Two research questions guided the investigation: (1) Can Belinda accurately score beginner Spanish writing using a provided rubric? (2) Can Belinda deliver constructive qualitative feedback? Human and GPT-generated scores were compared for inter- and intrarater reliability, and qualitative analyses categorized the feedback for usability in the classroom. Results revealed moderate alignment between Belinda’s scores and human raters, though reliability of the GPT fell short of calibration benchmarks. Feedback quality varied, with Belinda often providing vague, incomplete, or inaccurate suggestions. Despite iterative training, the GPT struggled to balance error correction with encouragement, a critical need for novice learners. Additionally, inconsistencies in identical GPT versions raised concerns about reliability. While Belinda showed potential in automating feedback, its limitations in accuracy, contextual understanding, and positivity suggest it is not yet a viable substitute for human evaluation by itself. These findings emphasize the challenges of integrating AI into L2 instruction and call for the need for extensive datasets, robust training, and human–AI collaboration to achieve pedagogically sound outcomes. Future research should explore hybrid feedback models and scalable solutions to enhance AI’s role in language education without compromising learner progress or confidence.
The provision of high-quality feedback is crucial to student experience, but it is increasingly challenging for academic staff to fully meet student expectations. One response is to use simple, freely available screen capture technology to offer individual video assessment feedback at no extra cost to staff time. This article will outline exactly how this relatively new technology can be harnessed and how students have responded to feedback delivery in this form at the University of Reading. The article will argue that screen capture software has significant potential to enhance the student experience of feedback provision but is currently highly underutilised in UK Higher Education.
Existing literature has focused on the influence of organizational settings on volunteers’ intention to remain but failed to explore the effects of external feedback. From an integrated perspective of task design and feedback, this study, based on the affective events theory, explored the influencing mechanism of illegitimate tasks, recipients’ feedback, and emotional exhaustion on volunteers’ intention to remain. This study collected 649 cases from poverty alleviation volunteers. Results showed that illegitimate tasks have had a negative impact on their intention to remain with emotional exhaustion taking a certain mediating effect. It has also been noted that the moderating effect of recipients’ feedback is significant, which can alleviate the negative impact of emotional exhaustion on the intention to remain. This study indicated the positive effects of positive and negative feedback, enriched the research on the influencing factors of volunteers’ intention to remain, and provided suggestions for organizations to retain volunteers from an integrated perspective of task design and feedback.
The use of simulations in European Studies is becoming more widespread, given the possibilities of immersing students in complex issues and building substantive knowledge and affective understanding. We identify a number of barriers to the full realisation of this potential. Drawing on observations from various games, it is suggested that for a successful simulation there must be: learning objectives clear to all participants; alignment between those objectives, game play and assessment; and a meaningful feedback process.
There is now a rich pedagogical literature that attests to the absolute centrality of assessment and feedback in effective student learning at undergraduate and postgraduate levels. And yet – despite this consensus in the pedagogical literature over the crucial importance of assessment and feedback – they are not, it seems, fulfilling their purpose or potential for students or lecturers alike. This symposium starts from the premise that assessment and feedback matter, that they are not working at present and that we need to find ways to do them differently. The symposium brings together five original articles from contributors who all want to explore alternative ways of thinking about, and doing, assessment and/or feedback so that they work better both for our students and for us as their lecturers.
This article evaluates the use of audio feedback on assignments through the case study of a politics course and argues that audio feedback provides a more personal feel to feedback. Criticism, it appears, is easier to accept in the spoken word. In addition, the article highlights the chief practical benefit of audio feedback, namely that it reduces the overall time spent by lecturers in providing comments. But while the article is positive in favour of audio feedback, it also discusses some potential challenges that include anonymous marking and the fact that one size does not fit all, with different students preferring different types of feedback. Finally, the article identifies a number of practical tips that relate to the adoption of this method of feedback.
Research undertaken on student feedback has pointed to the difficulties that students have in understanding written feedback. However, little attention has been given to understanding student views on verbal feedback. This article aims to fill this gap by reporting on the findings of verbal feedback practices among 114 History, Politics and International Relations students obtained from a questionnaire survey. These findings were supported by five in-depth semi-structured interviews. The findings show variance in student views with regard to different aspects of verbal feedback. The research outlines a number of suggestions that assist in developing verbal feedback opportunities further. It is argued that ‘feedback-dialogues’ provide a mechanism for improving student understanding of feedback.
Despite attempts by higher education institutions to improve the quality of feedback on assessed work, dissatisfaction expressed by students remains visible. This article draws upon the preliminary findings of a Higher Education Academy Collaborative Research Project on assessment feedback within two large political science and international relations departments. It offers a critical review of current feedback practices and processes and identifies four key issues – negativity, transferability, intelligibility, and consistency – that require attention in order to deliver more effective assessment feedback. The article also suggests practical ways forward in addressing these issues, highlighting in particular the importance of both structure and timing in helping to produce high-quality feedback efficiently.
Empirically demonstrating the association of metal-line absorber lines with galaxies has a long, rich history from the earliest theoretical predictions in the mid 1960s to observational confirmation in the 1990s. From that point onward, quasar absorption line studies became a powerful tool for characterizing the gaseous halos of galaxies. Countless works have provided valuable insights into the chemical, ionization, and kinematic conditions of what is now called the circumgalactic medium. A new concept called the baryon cycle was birthed in which the balance of accretion modes, stellar feedback, gas recycling, and outflow dynamics of galactic gas was found to be closely linked to how baryons respond to dark matter halos of a given mass. Modern theory known as halo abundance matching has helped us empirically connect the average stellar mass to dark matter halos of a given mass. Powerful hydrodynamics simulations tell a story in which the average baryon cycle processes in a galaxy are closely linked to dark matter halo mass. In this chapter, we discuss how synthesizing both the observational data and theoretical insights has yielded a simple composite model of the baryon cycle.
The bipolar junction transistor is introduced and its operation is explained. DC and switching applications are given. The need for DC biasing for AC amplification is illustrated and then satisfied by the Universal DC bias circuit. The thermal stability of this circuit is discussed and resulting constraints on resistor selection are developed. Amplifier gain, input impedance, and output impedance are defined and their usefulness is explained. The AC equivalents for the bipolar transistor are developed and then used to derive the properties of the common-emitter, common-collector, and common-base amplifiers. The concepts of distortion and feedback are introduced.