Implementation Of Feedback Research Articles

Processes and approaches to perioperative pain management in patients undergoing major lower extremity amputations secondary to vascular disease: a multi-specialty modified Delphi consensus study protocol

IntroductionPain surrounding major lower extremity amputations (MLEAs) in the vascular surgical patient can be severe, conferring significant debilitation from the preoperative stage through to the chronic rehabilitation phase. Although there...

Speaking Naturally and Confidently: Shadowing as a Speaking Practice Tool for Intermediate Korean Learners

ABSTRACT Shadowing, a language learning technique, involves learners’ immediate repetition of spoken language, aiming to mimic nativelike speech. This article demonstrates how the shadowing technique can be utilized as a semester-long project in intermediate Korean classes in order to provide extensive pronunciation and speaking practice. The article presents weekly schedules and discusses the implementation of feedback and assessments. This study found that integrating the Shadowing Project fostered students’ agency, confidence, and motivation in speaking while requiring minimal modifications to the curriculum. These findings strongly suggest that shadowing assignments can be implemented as an effective pedagogical tool in a wide range of institutions with diverse student populations.

Design, implementation, and evaluation of peer feedback to develop students’ critical thinking: A systematic review from 2010 to 2023

Peer feedback, as one of the assessment techniques to develop critical thinking is now receiving more attention. Due to different instruction design factors in peer feedback, it is not that widely used. This systematic review analyzed studies using peer feedback to develop critical thinking from Web of Science and Scopus within the duration of 2010 to 2023. Through a systematic process of paper selection, the study selected 44 empirical studies in practical teaching. Generally, most studies used existing definitions of critical thinking in general knowledge, whereas most studies used multiple scaffolding to help learners understand and develop critical thinking in specific disciplines. The cooperative nature of peer feedback with the provision and reception of feedback between learners brings significant improvement in thinking. The review thus proposed an operational framework of critical thinking, as well as an instructional design of peer feedback to promote the development of critical thinking in global teaching.

English language Teachers’ and EFL Students’ perceptions of oral errors and corrective feedback in a rural institution

This study explores the perception that English language teachers and students hold of errors and corrective feedback in oral communication. To collect data for this qualitative study semi-structured interviews were conducted with two English language teachers and five beginner English language students. The findings in this study provide evidence that teachers hold general knowledge about error correction and know how to provide corrective feedback. However, there may be factors that limit the implementation of corrective feedback in the workplace. As regards the decision-making process about corrective feedback, students and teachers keep different perspectives

Reduction of Noise Levels During Caesarean Births Through Audiovisual Feedback is Associated With Lower Stress Levels for Patients.

Noise reduction during surgical procedures leads to improved surgical performance and results. The caesarean birth (CB) is an exceptional operation and a life changing experience. Through the introduction of staff education and implementation of audiovisual feedback, we intended to reduce noise, and subsequently reduce surgical complications and increase the well-being of patients and staff. During Phase I, blinded baseline measurements of noise were conducted. Phase II started after staff education and structured questionnaires on subjective noise and stress were added, and in Phase III audiovisual feedback was introduced. Mean and peak noise levels over the time of the procedure were obtained in A-weighted decibels (dB(A)). Kruskal-Wallis H tests were performed to evaluate the impact of interventions on noise levels. Questionnaires were evaluated using descriptive statistics; stress-scores were compared using independent sample t-tests. Ninety planned CBs were included. Median noise levels were 62.85 dB(A) at baseline. They decreased significantly to 60.60 dB(A) (Phase II) and 59.25 dB(A) (Phase III), respectively. This reduction of 3.6 dB(A) leads to a subjective noise reduction of around 20%. Significant differences for A-weighted and peak noise levels during actual surgery were found after combining staff education with audiovisual feedback. In Phase III, staff reported less stressful noise. Stress also decreased significantly in the patient group. Beeping machines and telephones were identified as the most stressful sources of noise. We show that noise reduction during CB is both necessary and possible. Diminished subjective perception of noise and stress are positive impacts of this intervention. Staff education and audiovisual feedback can help to provide a calm and lower stress environment for patients and staff during caesarean births.

Iterative Optimization of Image Design by Big Data of User Feedback and CAD Implementation

Iterative Optimization of Image Design by Big Data of User Feedback and CAD Implementation

RIGEL: Simulating dwarf galaxies at solar mass resolution with radiative transfer and feedback from individual massive stars

Context. Feedback from stars in the form of radiation, stellar winds, and supernovae is crucial to regulating the star formation activity of galaxies. Dwarf galaxies are especially susceptible to these processes, making them an ideal test bed for studying the effects of stellar feedback in detail. Recent numerical models have aimed to resolve the interstellar medium (ISM) in dwarf galaxies with a very high resolution of several solar masses. However, when it comes to modeling the radiative feedback from stars, many models opt for simplified approaches instead of explicitly solving radiative transfer (RT) because of the computational complexity involved. Aims. We introduce the Realistic ISM modeling in Galaxy Evolution and Lifecycles (RIGEL) model, a novel framework to self-consistently model the effects of stellar feedback in the multiphase ISM of dwarf galaxies with explicit RT on a star-by-star basis. Methods. The RIGEL model integrates detailed implementations of feedback from individual massive stars into the state-of-the-art radiation-hydrodynamics code, AREPO-RT. It forms individual massive stars from the resolved multiphase ISM by sampling the initial mass function and tracks their evolution individually. The lifetimes, photon production rates, mass-loss rates, and wind velocities of these stars are determined by their initial masses and metallicities based on a library that incorporates a variety of stellar models. The RT equations are solved explicitly in seven spectral bins accounting for the infrared to He II ionizing bands, using a moment-base scheme with the M1 closure relation. The thermochemistry model tracks the nonequilibrium H, He chemistry as well as the equilibrium abundance of C I, C II, O I, O II, and CO in the irradiated ISM to capture the thermodynamics of all ISM phases, from cold molecular gas to hot ionized gas. Results. We evaluated the performance of the RIGEL model using 1 M⊙ resolution simulations of isolated dwarf galaxies. We found that the star formation rate (SFR) and interstellar radiation field (ISRF) show strong positive correlations with the metallicity of the galaxy. Photoionization and photoheating can reduce the SFR by an order of magnitude by removing the available cold, dense gas fuel for star formation. The presence of ISRF also significantly changes the thermal structure of the ISM. Radiative feedback occurs immediately after the birth of massive stars and rapidly disperses the molecular clouds within 1 Myr. As a consequence, radiative feedback reduces the age spread of star clusters to less than 2 Myr, prohibits the formation of massive star clusters, and shapes the cluster initial mass function to a steep power-law form with a slope of ∼ − 2. The mass-loading factor (measured at z = 1 kpc) of the fiducial galaxy has a median of ηM ∼ 50, while turning off radiative feedback reduces this factor by an order of magnitude. Conclusions. We demonstrate that RIGEL effectively captures the nonlinear coupling of early radiative feedback and supernova feedback in the multiphase ISM of dwarf galaxies. This novel framework enables the utilization of a comprehensive stellar feedback and ISM model in cosmological simulations of dwarf galaxies and various galactic environments spanning a wide dynamic range in both space and time.

The SRG/eROSITA All-Sky Survey

Context. Galaxy groups lying between galaxies and galaxy clusters in the mass spectrum of dark matter halos play a crucial role in the evolution and formation of the large-scale structure. Their shallower potential wells compared to clusters of galaxies make them excellent sources to constrain non-gravitational processes such as feedback from the central active galactic nuclei (AGN). Aims. We investigate the impact of feedback, particularly from AGN, on the entropy and characteristic temperature measurements of galaxy groups detected in the SRG/eROSITA’s first All-Sky Survey (eRASS1) to shed light on the characteristics of the feedback mechanisms and help guide future AGN feedback implementations in numerical simulations. Methods. We analyzed the deeper eROSITA observations of 1178 galaxy groups detected in the eRASS1. We divided the sample into 271 subsamples based on their physical and statistical properties and extracted average thermodynamic properties, including the electron number density, temperature, and entropy, at three characteristic radii from cores to outskirts along with the integrated temperature by jointly analyzing X-ray images and spectra following a Bayesian approach. Results. We present the tightest constraints with unprecedented statistical precision on the impact of AGN feedback through our average entropy and characteristic temperature measurements of the largest group sample used in X-ray studies, incorporating major systematics in our analysis. We find that entropy shows an increasing trend with temperature in the form of a power-law-like relation at the higher intra-group medium (IGrM) temperatures, while for the low-mass groups with cooler (T < 1.44 keV) IGrM temperatures, a slight flattening is observed on the average entropy. Overall, the observed entropy measurements agree well with the earlier measurements in the literature. Additionally, comparisons with the state-of-the-art cosmological hydrodynamic simulations (MillenniumTNG, Magneticum, OWL) after applying the selection function calibrated for our galaxy groups reveal that observed entropy profiles in the cores are below the predictions of simulations. At the mid-region, the entropy measurements agree well with the Magneticum simulations, whereas the predictions of MillenniumTNG and OWL simulations fall below observations. At the outskirts, the overall agreement between the observations and simulations improves, with Magneticum simulations reproducing the observations the best. Conclusions. These measurements will pave the way for achieving more realistic AGN feedback implementations in numerical simulations. The future eROSITA Surveys will enable the extension of the entropy measurements in even cooler IGrM temperatures below 0. 5 keV, allowing for the testing of the AGN feedback models in this regime.

Do You Dare to Speak Up at Work? A Study on Organizational Conditions Enabling or Discouraging Employee Voice

ABSTRACT Employee voice is part of internal communication, and this study extends current knowledge concerning the organizational conditions conducive to employee voice, namely: participation in decision making, consultation, information sharing, sensemaking and interactive communication, voice systems, formal policies regulating employees’ freedom of speech, solicitation of informal voice, implementation of corrective actions and feedback to employees voicing concerns. This study specifically examines the organizational and environmental characteristics that shape these organizational conditions that promote employee voice. A SEM analysis shows: the positive influence of the organizational and environmental characteristics of business strategy, organizational model, labor market conditions and company size. In addition, the mediating role of managers’ implicit beliefs that employees are self-interested, that management knows best and that dissent is undesirable was clearly emphasized.

Routine outcome monitoring and feedback in alcohol and other drug treatment: A qualitative study of client perspectives on implementation.

Routine outcome monitoring (ROM) and feedback is an evidence-supported strategy for evaluating alcohol and other drug (AOD) treatment outcomes. However, the implementation of ROM and feedback into AOD services remains a significant challenge. Research aimed at understanding client perspectives on ROM and feedback is needed to facilitate successful implementation. This study examined experiences with and perceptions of ROM and feedback in a sample of clients receiving AOD treatment. Interviews and online surveys were conducted with N = 26 people (13 male; Mage = 36.12 years, SD = 10.29) enrolled in an AOD treatment program in Australia. Data analysis of the transcripts was guided by thematic analysis, while descriptive statistics were used to analyse quantitative survey data. Four major themes were identified in the qualitative data: (i) ROM and feedback is valuable to AOD treatment; (ii) clear and concise outcome measures with an integrated feedback loop are vital to reliable ROM; (iii) desire for visual and verbal feedback that highlights progress; and (iv) ROM and feedback can be emotionally challenging. Participants valued ROM when it was clearly integrated within AOD treatment and they received feedback on their responses. Potential facilitators to implementing and improving the provision of ROM and feedback in AOD treatment include: (i) a clear, treatment-based rationale to foster client buy-in for ROM and maximise AOD treatment benefit; (ii) brief outcome measure surveys; and (iii) graphical visualisations of ROM feedback.

Automated feedback on fluency and complexity measures for L2 academic paragraphs: Student perspectives and impacts on human-rater scores

While complexity, accuracy, and fluency (CAF) measures are known to correlate with L2 writers’ scores, less is known about the effectiveness of providing automated feedback based on these measures for improving writing performance. Furthermore, it remains unclear if improvements in specific CAF measures correspond to improvements in human-rater scores. Finally, the trade-off hypothesis predicts that all three components of CAF cannot be improved at once, so providing multiple CAF measures to students at the same time might cause cognitive overload and overwhelm students, reducing their ability to uptake the feedback. To examine these issues, a simple paragraph feedback tool was developed to provide input on number of words, vocabulary variety, supporting detail markers, and sentence length. The tool was implemented repeatedly in L2 academic paragraph writing lessons with 124 students. Improvement was assessed through complexity, accuracy, and fluency (CAF) measures and human-rater scores, while also gathering student opinions. Results showed significant improvements in number of words, sentence length, and supporting detail marker usage from pre- to post-treatment with improvements in number of words and vocabulary variety found to be the strongest predictors of improvements in human-rater scores. Students reported finding vocabulary variety feedback most helpful, while supporting detail marker feedback was perceived as most confusing. Notably, students reported very low cognitive load overall. This article also discusses pedagogical implications of these findings for L2 writing instruction and automated feedback implementation.

Enhancing writing ability of Iranian EFL learners through learning-oriented assessment: peer and teacher feedback implementation

Despite the widespread use of Learner-Oriented Assessment (LOA) in (English as a Foreign Language EFL classes, concerns persist regarding its suitability for contexts such as Iran. Drawing on Carless’s (SHE, 31:219-233, 2006) criteria for LOA, the present study examined the effectiveness of peer and teacher feedback in an academic writing course. To this aim, a total of 124 intermediate language learners who were homogenized in terms of language proficiency, based on the Common European Framework of Reference for Languages (CEFR), were randomly assigned to an experimental and a control group. A 12-session writing instruction course with specific writing tasks was developed. One group received feedback from peers, while the other group received feedback from the teacher. Findings revealed that peer feedback resulted in better writing in terms of language, content, and organization. It was also found that the peer feedback group could retain their learning in the long run. These findings underscore the effectiveness of peer feedback within the framework of LOA, particularly in teacher-directed settings.

Barriers to Progress Feedback Adoption in Outpatient Geriatric Mental Healthcare: Exploring Age-Related Factors - A Qualitative Study.

Monitoring treatment progress through progress feedback is recognized for its efficacy and demonstrated value. However, its integration and utilization within treatments still need to be improved. Insufficient understanding exists regarding the factors within geriatric mental healthcare influencing the adoption of progress feedback. This study aimed to explore the determinants impacting the utilization of progress feedback within outpatient geriatric mental healthcare, specifically focusing on age-related perspectives and patient group characteristics. This qualitative investigation employed semi-structured interviews involving clinicians (N = 14) selected from four outpatient geriatric teams. The findings revealed both inhibiting and facilitating perspectives concerning progress feedback. Clinicians preferred user-friendly, specific, and tailored measures. Challenges included organizational support, integration in work processes, training, and the digital progress feedback system. Age-related perspectives such as older adults' diverse issues, limited digital skills, and cognitive problems hindered implementation, particularly in the oldest generation of older patients. In outpatient geriatric mental healthcare, many factors and attitudes influencing progress feedback align with those observed in adult psychiatry literature. Moreover, this study highlights specific age-related factors that impede the adoption and implementation of progress feedback, shedding light on the specific barriers within this context.

Testing the incremental effectiveness of pay-for-performance to improve implementation of a motivational interviewing brief intervention for substance use disorders in HIV settings: Results of a parallel cluster-randomized type 3 hybrid trial.

Substance use disorders (SUDs) have a serious adverse impact on the physical and mental well-being of people with HIV. Previously, using a 39-site dual-randomized type 2 hybrid trial design, findings from the Substance Abuse Treatment to HIV Care Project supported the Implementation and Sustainment Facilitation (ISF) strategy to improve implementation and effectiveness of a motivational interviewing brief intervention (MIBI) for SUD within HIV service settings across the United States (US). Building on this trial, this parallel cluster-randomized type 3 hybrid trial aimed to test the incremental effectiveness of a pay-for-performance (P4P), a form of the "alter incentive/allowance structures" strategy. Twenty-six HIV service organizations, their staff participants (N=87), and their client participants (N=341) were cluster-randomized to one of two implementation conditions. The control condition included staff-focused training, feedback, and consultation (TFC) and team-focused implementation and sustainment (ISF). The experimental condition included TFC+ISF as well as P4P (TFC+ISF+P4P). P4P used financial incentives to reward MIBI implementation (US$10 per MIBI delivered) and MIBI implementation at or above a pre-defined level of quality (US$10 per demonstration). In addition to these outcomes, past 4-week changes/reductions in client participant's days of primary substance use and anxiety symptoms were examined. The addition of P4P had a large and significant effect on the number of MIBIs implemented (d=1.30, p<.05) and reduction in anxiety (d=-1.54), but there was no impact on days of substance use. P4P had large effects on MIBI quality (d=1.24) and MIBI implementation effectiveness (d=1.28), but these were not significant (p<.10). P4P is a form of the "alter incentive/allowance structures" strategy. Its function is to reward the implementation of a clinical innovation. Rewarding implementation is consistent with the theory of implementation effectiveness, which suggests implementation climate (i.e., the extent to which implementation is expected, supported, and rewarded) is a key antecedent of implementation effectiveness (i.e., the consistency and quality of implementation). We found that P4P had a significant, positive impact on MIBI implementation in HIV service settings, but client-level outcomes were mixed. Future research should examine the effectiveness of the P4P strategy to improve implementation and sustainment of other evidence-based innovations. ClinicalTrials.gov: NCT04687917. Registered 12/18/2020.

Using expansive learning to design and implement video-annotated peer feedback in an undergraduate general education module

AbstractExisting studies have measured the effect of video-based feedback on student performance or satisfaction. Other issues are underacknowledged or merit further investigation. These include sociocultural aspects which may shape the design and implementation of video-based feedback, the ways students use technology to engage in feedback, and the processes through technology may transform learning. This study investigates the design and implementation of a video-annotated peer feedback activity to develop students’ presentation skills and knowledge of climate science. It explores how their use of a video annotation tool re-mediated established feedback practices and how the systematic analysis of contradictions in emerging practices informed the subsequent redesign and reimplementation of the approach. Employing a formative intervention design, the researchers intervened in the activity system of a first-year undergraduate education module to facilitate two cycles of expansive learning with an instructor and two groups of Hong Kong Chinese students (n = 97, n = 94) across two semesters. Instructor interviews, student surveys, and video annotation and system data were analysed using Activity Theory-derived criteria to highlight contradictions in each system and suggest how these could be overcome. The findings highlight the critical importance of active instructor facilitation; building student motivation by embedding social-affective support and positioning peer feedback as an integrated, formative process; and supporting students’ use of appropriate cognitive scaffolding to encourage their interactive, efficient use of the annotation tool. Conclusions: In a field dominated by experimental and quasi-experimental studies, this study reveals how an Activity Theory-derived research design and framework can be used to systemically analyse cycles of design and implementation of video-annotated peer feedback. It also suggests how the new activity system might be consolidated and generalised.

The Research of the Disparity Between the Provision of Feedback Opportunities and the Clarity of Feedback Implementation for Business and Management Students at the University of Sussex and the University of Brighton

This research delves into the disparity between the provision of feedback opportunities and the clarity of feedback implementation for business and management students at the University of Sussex and the University of Brighton. Employing a qualitative constructivist approach, the study aims to uncover the barriers to student feedback integration and propose solutions for enhancing university responsiveness. The investigation reveals significant differences in feedback implementation rates and the perceived value of student opinions, with implications for teaching quality and student satisfaction. The study employs questionnaires, interviews, and focus groups to gather insights from students and staff, emphasizing the need for transparent communication and actionable feedback loops. The findings suggest that universities must prioritize student voices to foster a positive learning culture and improve institutional practices.

Design of hybrid controller for broadband vibration isolation with active negative stiffness and ground-hook

This paper presents a novel hybrid control strategy that integrates active negative stiffness (ANS) with the ground-hook principle, aiming to enhance the vibration isolation system’s performance across both low and high-frequency ranges. Firstly, to improve vibration isolation performance, this study analyzes the existing ANS model. It identifies key factors affecting ANS stability and proposes a control parameter adjustment scheme based on stability conditions. This approach effectively refines ANS control theory and provides theoretical support for the application of ANS by ensuring stability. Secondly, addressing the limitations of ANS in high-frequency vibration isolation, this study proposes targeted solutions based on the ground-hook principle. While ANS excels in low-frequency isolation, this work tackles its shortcomings to enhance high-frequency vibration isolation. These solutions include the implementation of relative velocity feedback (RVFB) control and absolute velocity feedforward (AVFF) control to enhance high-frequency vibration isolation performance, and AVFF exhibits superior advantages over RVFB. Furthermore, the stability of different control strategies is analyzed. The findings reveal that sky-hook significantly enhances the control stability margin of the ANS loop, while RVFB decreases it, with AVFF having a minimal impact. Finally, comprehensive experiments validate a significant enhancement in both low and high-frequency vibration isolation performance, providing robust evidence for the practical engineering application of the vibration isolation system.

The effect of AGN feedback on the Lyman-α forest signature of galaxy protoclusters at z∼ 2.3

ABSTRACT The intergalactic medium in the vicinity of galaxy protoclusters are interesting testbeds to study complex baryonic effects such as gravitational shocks and feedback. Here, we utilize hydrodynamical simulations from the SIMBA and The Three Hundred suites to study the mechanisms influencing large-scale Lyman-$\alpha$ transmission in $2\lt z\lt 2.5$ protoclusters. We focus on the matter overdensity-Lyman-$\alpha$ transmission relation $(\delta _m-\delta _F)$ on Megaparsec-scales in these protoclusters, which is hypothesized to be sensitive to the feedback implementations. The lower density regions represented by the SIMBA-100 cosmological volume trace the power-law $\delta _m-\delta _F$ relationship often known as the fluctuating Gunn–Peterson approximation. This trend is continued into higher density regions covered by simulations that implement stellar feedback only. Simulations with active galactic nucleus (AGN) thermal and AGN jet feedback, however, exhibit progressively more Lyman-$\alpha$ transmission at fixed matter overdensity. Compared with the seven protoclusters observed in the COSMOS field, only two display the excess absorption expected from protoclusters. The others exhibit deviations: four show some increased transparency suggested by AGN X-ray thermal feedback models while the highly transparent COSTCO-I protocluster appears to reflect intense jet feedback. Discrepancies with the stellar-feedback-only model suggests processes at play beyond gravitational heating and/or stellar feedback as the cause of the protocluster transparencies. Some form of AGN feedback is likely at play in the observed protoclusters, and possibly long-ranged AGN jets in the case of COSTCO-I. While more detailed and resolved simulations are required to move forward, our findings open new avenues for probing AGN feedback at Cosmic Noon.

Vision-Based Force Estimation for Minimally Invasive Telesurgery Through Contact Detection and Local Stiffness Models

In minimally invasive telesurgery, obtaining accurate force information is difficult due to the complexities of in-vivo end effector force sensing. This constrains development and implementation of haptic feedback and force-based automated performance metrics, respectively. Vision-based force sensing approaches using deep learning are a promising alternative to intrinsic end effector force sensing. However, they have limited ability to generalize to novel scenarios, and require learning on high-quality force sensor training data that can be difficult to obtain. To address these challenges, this paper presents a novel vision-based contact-conditional approach for force estimation in telesurgical environments. Our method leverages supervised learning with human labels and end effector position data to train deep neural networks. Predictions from these trained models are optionally combined with robot joint torque information to estimate forces indirectly from visual data. We benchmark our method against ground truth force sensor data and demonstrate generality by fine-tuning to novel surgical scenarios in a data-efficient manner. Our methods demonstrated greater than 90% accuracy on contact detection and less than 10% force prediction error. These results suggest potential usefulness of contact-conditional force estimation for sensory substitution haptic feedback and tissue handling skill evaluation in clinical settings.

Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development

This paper explores the application of AI and NLP techniques for user feedback analysis in the context of heavy machine crane products. By leveraging AI and NLP, organizations can gain insights into customer perceptions, improve product development, enhance satisfaction and loyalty, inform decision-making, and gain a competitive advantage. The paper highlights the impact of user feedback analysis on organizational performance and emphasizes the reasons for using AI and NLP, including scalability, objectivity, improved accuracy, increased insights, and time savings. The methodology involves data collection, cleaning, text and rating analysis, interpretation, and feedback implementation. Results include sentiment analysis, word cloud visualizations, and radar charts comparing product attributes. These findings provide valuable information for understanding customer sentiment, identifying improvement areas, and making data-driven decisions to enhance the customer experience. In conclusion, promising AI and NLP techniques in user feedback analysis offer organizations a powerful tool to understand customers, improve product development, increase satisfaction, and drive business success.