Direct Feedback Research Articles

Artificial intelligence for language learning and teaching: A narrative literature study

The purpose of this study was to examine teachers' beliefs, the factors that influence the use of AI tools, and the advantages, disadvantages, opportunities, and threats of artificial intelligence in language learning and teaching. To accomplish this, the study used a narrative literature review and ATLAS.ti 9 to analyze the data. The results of the study showed that teachers believed that Artificial Intelligence in Language Learning and Teaching (AILLT) included assessing student needs, developing appropriate learning resources, promoting collaboration among resources, providing real-time assessment tools to improve the educational process, and increasing teaching efficiency and effectiveness. Second, AI tools for writing tools, including Paperpal, Quillbot, Jenni AI, ChatGPT, Elicit, as well as in applications to improve speaking skills, such as Speeko and Vocaroo, and "Siri and Say It" for listening and pronunciation skills. Third, factors that may influence students' use of AI-based language learning tools include adaptability, engagement, motivation, autonomy, immediate or direct feedback, accessibility and inclusivity, and teacher and parent support. This research found that AI enhances accessibility, adaptability, personalization, and immediate feedback, but it also has limitations, such as dependence on technology, inadequate human interaction, limited contextual understanding, and algorithmic biases. In addition, AILLT faces potential threats such as quality control, privacy concerns, and job or task displacement. Narrative literature studies provide theoretical insights, and it is expected that future studies at different levels of language learning will incorporate empirical evidence from experimental and case study-based research.

Student-teacher relationship: Written feedback provision and writing performance

Despite several studies on feedback, little is known about the benefits of the student-teacher relationship in providing feedback. This study therefore aimed to investigate the effects of teacher feedback on students' writing performance. The feedback was divided into two formats: Direct Feedback and Indirect Feedback. Students' writing performance in the study refers to the quality of students' writing when composing a descriptive paragraph. In addition, this study also explored the voices of English as a Foreign Language (EFL) students after being treated with different feedback modes under specific circumstances of the student-teacher relationship. The study adopted a mixed methods design, using a test, a semi-structured interview and a questionnaire as instruments to obtain qualitative and quantitative data. The study involved 50 secondary school students who were divided into two groups of 25 students each. The results showed that direct feedback stimulated students' writing performance better than indirect feedback. In addition, the feedback treatments could maximize students' writing performance if a good student-teacher relationship was developed in the classroom. This implies that maintaining a good student-teacher relationship in the EFL classroom is beneficial.

TopoSinGAN: Learning a Topology-Aware Generative Model from a Single Image

Generative adversarial networks (GANs) have significantly advanced synthetic image generation, yet ensuring topological coherence remains a challenge. This paper introduces TopoSinGAN, a topology-aware extension of the SinGAN framework, designed to enhance the topological accuracy of generated images. TopoSinGAN incorporates a novel, differentiable topology loss function that minimizes terminal node counts along predicted segmentation boundaries, thereby addressing topological anomalies not captured by traditional losses. We evaluate TopoSinGAN using agricultural and dendrological case studies, demonstrating its capability to maintain boundary continuity and reduce undesired loop openness. A novel evaluation metric, Node Topology Clustering (NTC), is proposed to assess topological attributes independently of geometric variations. TopoSinGAN significantly improves topological accuracy, reducing NTC index values from 15.15 to 3.94 for agriculture and 14.55 to 2.44 for dendrology, compared to the baseline SinGAN. Modified FID evaluations also show improved realism, with lower FID scores: 0.1914 for agricultural fields compared to 0.2485 for SinGAN, and 0.0013 versus 0.0014 for dendrology. The topology loss enables end-to-end training with direct topological feedback. This new framework advances the generation of topologically accurate synthetic images, with applications in fields requiring precise structural representations, such as geographic information systems (GIS) and medical imaging.

Clinical coordination in cancer diagnosis: healthcare stakeholders’ viewpoints in Latin America

Abstract Background Delays in diagnosis contribute to increasing cancer mortality rates in Latin American countries due to, among others, highly fragmented healthcare systems. The objective of this study, part of a larger research project (EquityCancer-LA), was to analyze cross-level coordination during cancer diagnosis and factors influencing it from healthcare stakeholders’ perspectives in Chile, Colombia, and Ecuador. Methods This descriptive-interpretative qualitative study was based on 114 semi-structured individual interviews in 2022-23 using a criterion sample of health professionals from primary care (PC) (n = 40) and secondary care (SC) (n = 44) as well as managers and policy makers (n = 30) from two public healthcare networks in each country. Sample reached saturation. A thematic analysis was conducted first by country and then comparatively, guided by the theoretical framework of clinical coordination. Results In all countries, informants highlighted limited cross-level exchange of information and limited coordination of clinical management, delays in referral, and long waiting times after referral, leading to diagnostic delays. Factors hindering coordination differed across countries: structural (insufficient personnel, access to diagnostic tests in PC); organizational (limited/inadequate coordination mechanisms, e.g. shared clinical records; poor working conditions); and health professional characteristics (limited knowledge and skills among PC doctors). Direct feedback was emphasized to facilitate coordination of cancer diagnosis: virtual joint clinical conferences in Chile, co-location of PC and SC in Colombia, and informal networks (based on personal contacts) in Ecuador. Conclusions The findings underscore the critical coordination problems contributing to delays in cancer diagnosis. Addressing these challenges requires strategic interventions aimed at strengthening primary care and fostering cross-level coordination. Key messages • Cancer diagnosis in Latin America suffers from coordination deficits due to structural, organizational, and professional factors. • Strengthening primary care and cross-level coordination is needed.

Self-management app usage and expectations by patients with heart failure: results of a qualitative study

Abstract Background Effective self-care in heart failure (HF) is essential to prevent acute deterioration and improve treatment adherence and quality of life. The supportive role of eHealth is becoming increasingly important to alert HF patients to changes in symptoms and take greater responsibility for maintaining or improving their state of health. Integrating the expectations, perceptions, and impression of HF patients into the design, customization, and utilization of self-care apps is crucial to ensure sustainable and beneficial implementation of such solutions. Purpose To explore patients' with HF expectations, their usage, and first impressions towards a self-care app. Methods The self-care app developed could monitor HF symptoms, provide education via e-learning modules, and telemedical services including regular checkups, recommendations, and feedback from healthcare professionals (HCP). Patients from four clinical sites in Europe, Germany (DE), United Kingdom (UK), Ireland (IRL), Netherlands (NL), who had used this app were invited to participate in a semi-structured interview. These were recorded, transcribed, and analysed by two researchers based on qualitative content analysis according to Mayring. Results In total 32 male and 6 female HF patients aged between 32 and 84 years (66±13) were interviewed (see figure 1). Average duration was 34 minutes. Most patients had used the app for 1-2 weeks at time of the interview. Most patients planned to use the app 2-3 times a week and integrate it into their daily routines. Patients expressed a preference for sessions (regular checkups, e-learnings) not to exceed 10 minutes. Patients believed features like reminders, gamification, and direct feedback from the app could positively influence their behaviour. Conversely, technical issues, too frequent data entry or repetitive questioning were perceived as negative. In case the app could give medical advice, some patients (n=12) indicated that they would only follow the app's recommendations after consulting an HCP. Overall, patients expected the app to provide continuous monitoring and an early warning system to detect and counteract deterioration at an early stage. They deemed the combination of telemedical services and patient records to be particularly valuable. Moreover, patients expected the app to serve as an information source on HF and believed it could increase their motivation and self-discipline for better self-care and therapy adherence (see figure 2). Conclusion The results show that HF patients consider eHealth apps to be valuable tools for autonomously monitoring and improving their health. However, behaviour and acceptance can be encouraged or inhibited depending on the functionalities and design of the app. The findings underline the increasing relevance of eHealth solutions, such as a self-care app in healthcare and emphasize the necessity of considering patients' needs and preferences during the development.Functions with the greatest benefit

A clinical comparison of a digital versus conventional design methodology for transtibial prosthetic interfaces

A transtibial prosthetic interface typically comprises a compliant liner and an outer rigid socket. The preponderance of today’s conventional liners are mass produced in standard sizes, and conventional socket design is labor-intensive and artisanal, lacking clear scientific rationale. This work tests the clinical efficacy of a novel, physics-based digital design framework to create custom prosthetic liner-socket interfaces. In this investigation, we hypothesize that the novel digital approach will improve comfort outcomes compared to a conventional method of liner-socket design. The digital design framework generates custom transtibial prosthetic interfaces starting from MRI or CT image scans of the residual limb. The interface design employs FEA to simulate limb deformation under load. Interfaces are fabricated for 9 limbs from 8 amputees (1 bilateral). Testing compares novel and conventional interfaces across four assessments: 5-min walking trial, thermal imaging, 90-s standing pressure trial, and an evaluation questionnaire. Outcome measures include antalgic gait criterion, skin surface pressures, skin temperature changes, and direct questionnaire feedback. Antalgic gait is compared via a repeated measures linear mixed model while the other assessments are compared via a non-parametric Wilcoxon sign-rank test. A statistically significant (\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$P=0.032$$\\end{document}) decrease in pain is demonstrated when walking on the novel interfaces compared to the conventional. Standing pressure data show a significant decrease in pressure on novel interfaces at the anterior distal tibia (\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$P = 0.012$$\\end{document}), with no significant difference at other measured locations. Thermal results show no statistically significant difference related to skin temperature. Questionnaire feedback shows improved comfort on novel interfaces on posterior and medial sides while standing and the medial side while walking. Study results support the hypothesis that the novel digital approach improves comfort outcomes compared to the evaluated conventional method. The digital interface design methodology also has the potential to provide benefits in design time, repeatability, and cost.

Dynamic control and manipulation of near-fields using direct feedback

Shaping and controlling electromagnetic fields at the nanoscale is vital for advancing efficient and compact devices used in optical communications, sensing and metrology, as well as for the exploration of fundamental properties of light-matter interaction and optical nonlinearity. Real-time feedback for active control over light can provide a significant advantage in these endeavors, compensating for ever-changing experimental conditions and inherent or accumulated device flaws. Scanning nearfield microscopy, being slow in essence, cannot provide such a real-time feedback that was thus far possible only by scattering-based microscopy. Here, we present active control over nanophotonic near-fields with direct feedback facilitated by real-time near-field imaging. We use far-field wavefront shaping to control nanophotonic patterns in surface waves, demonstrating translation and splitting of near-field focal spots at nanometer-scale precision, active toggling of different near-field angular momenta and correction of patterns damaged by structural defects using feedback enabled by the real-time operation. The ability to simultaneously shape and observe nanophotonic fields can significantly impact various applications such as nanoscale optical manipulation, optical addressing of integrated quantum emitters and near-field adaptive optics.

Turbulent flow around convex curved tandem cylinders

Turbulent flow around curved tandem cylinders has been studied for the first time, by means of direct numerical simulation. The convex configuration was used, with a nominal gap ratio of $L/D = 3$ and a Reynolds number of 3900. Along the span, the flow regimes vary from alternating overshoot/reattachment to co-shedding. Three distinct Strouhal numbers coexist in the flow that are tied directly to different tandem cylinder flow regimes. This result differs substantially from convex curved tandem cylinders at a transitional Reynolds number, where only a single dominant frequency is found. All regimes exhibit some degree of instability, so that the flow can be considered multistable. A mode switch from alternating overshoot/reattachment to symmetric reattachment is found. Complex interactions are observed between the primary instability, the shear layer instability and the flow mode alterations. As opposed to previous investigations with single and tandem straight cylinders in the subcritical flow regime, our results indicate that there may be direct feedback from the primary instability to the shear layer instability. The downdraft region in the gap exhibits slow meandering, and may travel upstream and amplify the shear layer instability, causing early transition in the gap shear layer. This downdraft is governed by the slow modulations of the vortex formation region in the lower gap, meaning that the vortex dynamics of this region may indirectly influence the shear layer instability higher up in the gap.

Flipped learning: facilitating student engagement through repeated instruction and direct feedback

Flipped learning: facilitating student engagement through repeated instruction and direct feedback

Reaching Student Engagement by Balancing Gamification and Challenges in the Minor Serious Gaming

This study originated from a Senior University Teaching Qualification on student engagement that withstanding many efforts on problem and challenge based education still is a concern. Within the minor Serious Gaming, third year students (n=35) where studied with mixed methods with the main question how to improve student engagement with challenges in serious gaming? First, a systematic literature study led to a new definition of student engagement: Student engagement is a multi-faceted concept that involves the interplay of various factors, including behavior, motivation, challenges, and autonomy. Then a pretest was done with last year’s teaching team, a motivational survey and general evaluation survey was done and a focus group with group representatives was created. This led to two main interventions, a gamified business modelling workshop and direct feedback loops. From a gamification point of view, rewards are the best intervention but we could not implement them in this year’s course. The value of this study is in understanding the complexity of student engagement. Improvement of engagement is possible with gamification, challenges and direct feedback. This study confirms that a high autonomy leads to a high engagement, future study has to be done with courses with low autonomy.

Brassinosteroids mediate arbuscular mycorrhizal symbiosis through multiple potential pathways and partial identification in tomato

Currently, little is known regarding the specific processes through which brassinosteroids (BR) affect arbuscular mycorrhizal (AM) symbiosis. Understanding this relationship is vital for advancing plant physiology and agricultural applications. In this study, we aimed to elucidate the regulatory mechanisms of BR in AM symbiosis. According to the log2 fold change-value and adjP-value, we integrated the common differentially expressed genes (DEGs) in maize (Zea mays L.) treated with BR and AM, Arabidopsis (Arabidopsis thaliana) mutants deficient in BR receptors, and tomato (Solanum lycopersicum) plants inoculated with AM fungi. In addition, we characterized the symbiotic performance of tomato plants with BR receptor defects and overexpression. The results indicated that the common differential genes induced by BR and AM were involved in metabolic processes, such as cell wall modification, cytoskeleton remodeling, auxin and ethylene signaling, photosynthesis, mineral nutrient transport, and stress defense. Specifically, these include the BR1 gene, which modifies the cell wall. However, the fungal colonization rate of BR receptor-deficient tomato plants was significantly reduced, and the total phosphorus concentration was increased. Conversely, the performance of the overexpressing tomato transformation plants demonstrated a significant contrast. Additionally, the mild rescue of mycorrhizal attenuation in mutants treated with exogenous BR suggests the possibility of direct feedback from BR synthesis to AM. Notably, the cell wall modification gene (SlBR1) and calcium spike gene (SlIPD3) were induced by both BR and AM, suggesting that BR may influence cell penetration during the early stages of AM colonization. Synthesis: Our results demonstrated that BR positively regulates AM symbiosis through multiple pathways. These findings pave the way for future research, including isolation of the individual contributions of each pathway to this complex process and exploration of possible agricultural applications.

Bioinspired Artificial Intelligent Nociceptive Alarm System Based on Fibrous Biomemristors.

With the advancement of modern medical and brain-computer interface devices, flexible artificial nociceptors with tactile perception hold significant scientific importance and exhibit great potential in the fields of wearable electronic devices and biomimetic robots. Here, a bioinspired artificial intelligent nociceptive alarm system integrating sensing monitoring and transmission functions is constructed using a silk fibroin (SF) fibrous memristor. This memristor demonstrates high stability, low operating power, and the capability to simulate synaptic plasticity. As a result, an artificial pressure nociceptor based on the SF fibrous memristor can detect both fast and chronic pain and provide a timely alarm in the event of a fall or prolonged immobility of the carrier. Further, an array of artificial pressure nociceptors not only monitors the pressure distribution across various parts of the carrier but also provides direct feedback on the extent of long-term pressure to the carrier. This work holds significant implications for medical support in biological carriers or targeted maintenance of electronic carriers.

A COMPREHENSIVE STUDY OF MACHINE LEARNING APPROACHES FOR CUSTOMER SENTIMENT ANALYSIS IN BANKING SECTOR

This study explores the application of sentiment analysis in the banking sector, focusing on customer feedback to enhance service quality and customer experiences. We collected a comprehensive dataset of approximately 100,000 entries from diverse sources, including customer satisfaction surveys, social media platforms, and direct feedback. A robust preprocessing pipeline was employed to address challenges associated with unstructured data, informal language, and mixed sentiments. We evaluated several machine learning and natural language processing models, including Logistic Regression, Naive Bayes, Support Vector Machine (SVM), Random Forest, Long Short-Term Memory (LSTM), and BERT (Bidirectional Encoder Representations from Transformers), using metrics such as accuracy, precision, recall, F1 score, AUC-ROC, and training time. The results revealed that advanced models, particularly BERT, achieved superior performance with an accuracy of 88% and an F1 score of 0.86, demonstrating an exceptional ability to capture nuanced sentiments. This study underscores the importance of employing sophisticated sentiment analysis techniques in banking to derive actionable insights from customer feedback. The findings suggest that leveraging advanced models can significantly improve service quality and customer satisfaction, while also presenting avenues for future research into real-time sentiment analysis and its integration with customer relationship management systems.

Adaptive Neural Control for Hysteretic Nonlinear Systems With Hysteresis Neural Direct Inverse Compensator and Its Application.

Aiming at high precision control for a class of hysteretic nonlinear systems, a new hysteresis direct inverse compensator-based adaptive output feedback control scheme is designed in this article. First, a novel long short-term memory neural network (LSTMNN)-based hysteresis inverse compensator is established to compensate the asymmetric hysteresis nonlinearity, where the LSTMNN is used as the prediction mechanism for model operator weights, rather than the overall mapping of hysteresis input and output. Second, by designing the modified high-gain K-Filter states observer and the error transformed function, the unmeasurable states are estimated with arbitrarily small estimation error and the prespecified tracking performance is achieved. Lastly, the biconical dielectric elastomer actuator (DEA) motion platform is constructed. Then, the effectiveness of the proposed LSTMNN-based hysteresis inverse compensator and control scheme are verified on the experimental platform. The experimental results illustrate the effectiveness and advantages of proposed control scheme.

Unleashing the potential of Indonesian EFL high school students' writing proficiency and self-regulated learning through written corrective feedback

Despite the existence of many studies on EFL student writing proficiency, little work reports how written corrective feedback influences EFL senior high school students’ self-regulated learning. This study aimed to explore the extent to which EFL high school students prefer types of written corrective feedback strategies in their written work and the impacts on their self-regulated learning. Employing an explanatory mixed-method approach, we combined quantitative data from a 5-point Likert scale questionnaire with qualitative data gathered through semi-structured interviews. Thirty-two EFL senior high school students participated in this study. A descriptive statistical method was utilized to analyze the questionnaire, while a thematic analysis was done on the interview data. The findings revealed that direct feedback was the most preferred among the various strategies of written corrective feedback, closely followed by metalinguistics feedback. Additionally, students perceived that written corrective feedback highly contributed to fostering their self-regulated learning. Thus, this study implies that teachers should be more mindful of students' preferences when providing corrective feedback.

SISTEM INFORMASI MEDIA PROMOSI DAN PEMBELAJARAN KELOMPOK TARUNA TANI AULIA

This research focuses on the challenges faced by the Taruna Tani Aulia group in educating farmers about the transition from chemical fertilizers to organic fertilizers. Many farmers find the process of producing organic fertilizers complex and time-consuming, making them reluctant to switch. To address this issue, this study developed an information system that serves as both a promotional tool and a learning platform, facilitating the dissemination of information on the benefits of organic fertilizers and promoting organic fertilizer products sold by Taruna Tani Aulia. The system was developed using the Prototyping Method, allowing for iterative testing and evaluation with direct user feedback. The system was built using the Next.js framework to streamline the development process. The results of testing using the Mean Opinion Score indicated a high level of user acceptance, with a User Acceptance Test score of 87.8%. This suggests that the system is feasible and effective in supporting the promotion and education of organic fertilizers. In conclusion, this information system can help farmers more easily understand and adopt organic farming practices, as well as simplify their access to purchasing organic fertilizers without the need to produce them independently.

PARENTS’ COMMUNICATION PATTERNS TOWARDS CHILDREN WITH MENTAL DISORDERS

Communication is a necessity or means of social interaction for human life. However, some individuals, such as mentally retarded children, experience difficulties in communicating due to various factors and environments. This study aims to understand the communication patterns used by parents in interacting with children who suffer from mental retardation. The method used is Systematic Literature Review to explore insights into parents' communication patterns towards mentally retarded children. The researcher collected, summarized, evaluated, interpreted and synthesized information from journals published between 2019-2024. The results showed that communication patterns used by parents can affect learning outcomes and behavioral changes in children with mental retardation. The ideal communication pattern is interpersonal communication that involves direct interaction and feedback between parents and children. Parents need to have extra patience in communicating with mentally retarded children, and communication must be done regularly so that communication development for children can run well. Based on the author's understanding, interpretation and evaluation of various existing journals, it turns out that the communication pattern most favored by mentally retarded children is through audio and video-based multimedia interactive media and gross and fine motor skills through the puzzle game method.

Perceptions and impacts of the Happy Program on socio-emotional competencies: a mixed-methods study in primary education

Introduction: The "Happy Program" implemented by AMCO across various schools in Latin America has been the subject of a mixed-methods study assessing its impact on the socio-emotional competencies of primary school students. The study focuses on the perceptions of both teachers and students, integrating quantitative and qualitative techniques for a comprehensive evaluation. Methods: Mixed-methods design to thoroughly assess the impacts of the Happy Program on socio-emotional competencies among primary school students. This design incorporates both quantitative and qualitative approaches to provide a multi-dimensional understanding of the program’s effects. Teacher’s study, this segment involves a survey distributed to 57 teachers, designed to capture their perceptions before and after the implementation of the Happy Program. The survey measures changes in their views on students' socio-emotional skills and the overall classroom environment. Teachers are asked to rate the program’s influence on student behavior and emotional management, and to comment on areas for improvement, such as activity variety and family engagement. Parallel to the teacher survey, a larger scale study surveys 1,526 students. This study aims to gather direct feedback from the students about their experiences with the Happy Program. Students respond to questions about their emotional understanding, how they manage emotions, and their interactions with peers and family members as influenced by the program. This data is crucial for measuring the perceived effectiveness of the program from the students’ perspective. Findings/Results: Teachers reported a generally positive impact of the program on students, noting enhancements in key skills such as self-regulation and empathy. However, they also identified areas for improvement, such as activity diversification and greater family engagement. The results detail an increase in emotional understanding and management skills among students, with 76% of teachers observing significant improvements in these areas following the program's implementation.

Shock Me The Way: Directional Electrotactile Feedback under the Smartwatch as a Navigation Aid for Cyclists

Cycling navigation is a complex and stressful task as the cyclist needs to focus simultaneously on the navigation, the road, and other road users. We propose directional electrotactile feedback at the wrist to reduce the auditory and visual load during navigation-aided cycling. We designed a custom electrotactile grid with 9 electrodes that is clipped under a smartwatch. In a preliminary study we identified suitable calibration settings and gained first insights about a suitable electrode layout. In a subsequent laboratory study we showed that a direction can be encoded with a mean error of 19.28\,° (σ = 42.77°) by combining 2 adjacent electrodes. Additionally, by interpolating with 3 electrodes a direction can be conveyed with a similar mean error of 22.54° (σ = 43.57°). We evaluated our concept of directional electrotactile feedback for cyclists in an outdoor study, in which 98.8% of all junctions were taken correctly by eight study participants. Only one participant deviated substantially from the optimal path, but was successfully navigated back to the original route by our system.

Abstract B093: Facilitating conversations on cancer genomic education: Development of a toolkit for community advisory boards

Abstract Community Advisory Boards are representative groups of individuals that reside in a particular area and serve an important role in the research process. Often CABs are the voice of the community, rather it be key community stakeholders, business, or community organizations. The purpose of this project is to describe the development of a cancer genomic toolkit and initial introduction of the toolkit to local community advisory boards to CAB members interested in cancer genomic topics to increase inclusion and awareness of emerging topics and activities around cancer genomic research. Existing CAB members from the Meharry Medical College/Vanderbilt-Ingram Cancer Center/Tennessee State University Cancer Partnership (MVTCP) and the Research Centers in Minority Institutions (RCMI) at Meharry Medical College were introduced to a cancer genomic toolkit that is in development. CAB members were presented the toolkit during a regularly scheduled CAB meeting for approximately 30 minutes and were allowed 10 minutes to answer questions. After the presentation of the cancer genomic toolkit, CAB members were sent a word document version of the toolkit to provide any feedback for improvement during the development stage. CAB members were allowed up to two months to review the cancer genomic toolkit. Directions for review were to use track changes and leave comments or provide direct feedback via email response. To date, one CAB member has provided individualized feedback. Group feedback included questions and open discussion around historic research participation. Next steps are to introduce the tool to a newly formed genomic community advisory board and begin to reiterate the toolkit for evaluation and implementation for other local CABs. Citation Format: Calandra G. Whitted. Facilitating conversations on cancer genomic education: Development of a toolkit for community advisory boards [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B093.