Advancement Of Education Research Articles

Decomposing the Gender Wage Gap in the Urban Labor Market in Kenya

Abstract Legislation and regulation have been effective in reducing the gender wage gap in developed countries; however, the gap still exists globally, and progress towards narrowing the gap has been unacceptably slow even in regions where it is improving. This study presents the analysis of gender wage gap in Kenya’s urban labor market by using the World Bank Skills Towards Employability and Productivity Survey (WBSTEPS). This study employed Mincer earnings regressions with Heckman selection correction and the Blinder-Oaxaca and Neumark decomposition procedures to answer the research questions. The results of the wage determination and participation in the labor market show that there is no selectivity-bias problem. Personal characteristics such as education and age, as well as work-related characteristics, are important factors in determining earnings. The magnitude of the gender wage gap varies across the wage distribution, and the results of the wage decomposition reveal that women in urban Kenya earn 84.5-to-86% of men’s earnings. The earnings gap is overwhelmingly due to differences in returns to endowments, which account for between 70% and 94.7% of the total earnings gap. Admittedly, the study found evidence of discrimination against women in the returns to endowments, but also observed pronounced favoritism towards men. However, discrimination against women is more pronounced than favoritism towards men. Addressing the gender wage gap in Kenya requires a multifaceted approach that tackles both systemic biases against women and structural barriers that hinder women from accessing equal opportunities in education, training, and career advancement and government policies that minimize favoritism towards men.

Preparing Physician-Scientists for the Future of Academic Medicine.

The changing field of academic medicine presents unique challenges for physician-scientists, who intricately weave the complexities of research and patient care. These challenges have significantly lengthened the time needed for scientific discoveries to be applied in clinical practice. In response to these escalating demands, the training trajectory for physician-scientists has notably expanded over recent decades. In anticipation of and preparation for future training requirements, the National Pediatrician-Scientist Collaborative Workgroup facilitated a series of convenings with a diverse array of stakeholders vested in physician-scientist training. The framework Strategic Foresight was used to explore possible future scenarios and develop strategic plans. Seven pivotal themes, termed "performance zones," emerged from this endeavor: (1) revolution in education through technology-enhanced learning, (2) educational outcomes beyond content mastery, (3) artificial intelligence-empowered research portfolios and expansive networks, (4) evolution of high-performance inclusive, equitable, distributed, and agile teams, (5) evolution of antifragile systems, (6) a multiparadigmatic program of research, and (7) interdependence and commitments to a common agenda for collective impact. These identified zones underscore the imperative for physician-scientists to acquire novel skill sets essential for navigating the impending shifts in the health care landscape. These findings are poised to steer policy initiatives and educational advancements, fortifying the foundation for future physician-scientist training needs.

Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education.

The early detection and accurate monitoring of suspicious skin lesions are critical for effective dermatological diagnosis and treatment, particularly for reliable identification of the progression of nevi to melanoma. The traditional diagnostic framework, the ABCDE rule, provides a foundation for evaluating lesion characteristics by visual examination using dermoscopes. Simulations of skin lesion progression could improve the understanding of melanoma growth patterns. This study aims to enhance lesion analysis and understanding of lesion progression by providing a simulated potential progression of nevi into melanomas. The study generates a dataset of simulated lesion progressions, from nevi to simulated melanoma, based on a Cycle-Consistent Adversarial Network (Cycle-GAN) and frame interpolation. We apply an optical flow analysis to the generated dermoscopic image sequences, enabling the quantification of lesion transformation. In parallel, we evaluate changes in ABCDE rule metrics as example to assess the simulated evolution. We present the first simulation of nevi progressing into simulated melanoma counterparts, consisting of 152 detailed steps. The ABCDE rule metrics correlate with the simulation in a natural manner. For the seven samples studied, the asymmetry metric increased by an average of 19%, the border gradient metric increased by an average of 63%, the convexity metric decreased by an average of 3%, the diameter increased by an average of 2%, and the color dispersion metric increased by an average of 45%. The diagnostic value of the ABCDE rule is enhanced through the addition of insights based on optical flow. The outward expansion of lesions, as captured by optical flow vectors, correlates strongly with the expected increase in diameter, confirming the simulation's fidelity to known lesion growth patterns. The heatmap visualizations further illustrate the degree of change within lesions, offering an intuitive visual proxy for lesion evolution. The achieved simulations of potential lesion progressions could facilitate improved early detection and understanding of how lesions evolve. By combining the optical flow analysis with the established criteria of the ABCDE rule, this study presents a significant advancement in dermatoscopic diagnostics and patient education. Future research will focus on applying this integrated approach to real patient data, with the aim of enhancing the understanding of lesion progression and the personalization of dermatological care.

Standardization through education of molecular pathology: a spotlight on the European Masters in Molecular Pathology.

Despite advancements in precision medicine, many cancer patients globally, particularly those in resource-constrained environments, face significant challenges in accessing high-quality molecular testing and targeted therapies. The considerable heterogeneity in molecular testing highlights the urgent need to harmonize practices across Europe and beyond, establishing a more standardized and consistent approach in MP laboratories. Professionals, especially molecular pathologists, must move beyond traditional education to cope with this heterogeneity. This perspective addresses critical issues in molecular pathology (MP), such as limited access to high-quality molecular testing, leading to disparities in cancer treatment, and the consequences of inconsistent practices. Recognizing the necessity for a standardized framework for education to address these issues, educational programs play a pivotal role in updating professionals' skills to achieve standardization in MP. European experts from the Steering Committee, the Pathology Section of the European Union of Medical Specialists, and the European Society of Pathology have proposed creating a comprehensive Master's degree program called the "European Masters in Molecular Pathology" (EMMP). This program emerges as a strategic response to the demand for a specialized and standardized framework for education in MP, catering to professionals who concurrently work and study. The program's design aligns with evidence-based education methods, ensuring effective learning and engagement while integrating computational pathology to analyze complex molecular data, enhance diagnostic accuracy, and improve treatment outcomes. EMMP's structured curriculum, strategic partnerships, and regular updates underscore its significance in standardizing MP practices. Exploring future developments, this perspective delves into technology integration and interdisciplinary collaboration, anticipating ongoing advances and harmonization. Challenges and future directions in MP education are discussed, emphasizing the necessity for dynamic curriculum updates, seamless technology integration, and interdisciplinary cooperation. This perspective underscores EMMP's pivotal role in preparing pathologists for this dynamic field, advocating continuous advancements in education and training to uphold excellence in MP practices and maintain the highest patient care standards.

Creative Research Engagement from Design through Application to Dissemination: Maximizing the Research Impact through Creativity

ABSTRACTThe value of research is often determined by its impact and ability to catalyze positive change in the life of communities, technological developments, and the advancement of education. However, translating research findings and innovative conceptualizations into practical applications is not always easy for various reasons. As a result, there may be difficulty achieving a buy‐in from community and industry partners who are essential for elevating innovative ideas to the level of working models and tangible outcomes. Similarly, it is not always immediately clear how research findings should be integrated in teaching and learning to improve the relevance of education to community and industry needs. In many situations, creativity and imagination are key to transforming research into impactful applications. Can we reimagine partnerships for the benefit of praxis? Can we design unique methods of research dissemination that will reach and engage a broader community, beyond a specialist circle? Can we present ideas and concepts to the world in a way that excites and motivates people, moving them to action? The presenters will provide examples of work that addresses these questions and will work with the audience to help with guidance in their own work.

Teachers' professional journey: Charting achievement recognition, career adaptability, and task performance

The rapid technological advancement in higher education necessitates understanding the factors influencing university teachers' professional growth and task performance. This study investigates the relationships among Achievement Recognition, Career Adaptability, and Organizational Seniority, focusing on their impact on the task performance of Chinese university teachers. A longitudinal, time-lagged survey design was employed, collecting data from 1444 Chinese university teachers over three waves, each one month apart. The survey included Achievement Recognition, Career Adaptability, and Task Performance measures, with Organizational Seniority as a moderating variable. Achievement Recognition significantly predicted Career Adaptability. The interaction between career adaptability and organizational seniority was significant, indicating that the positive effect of career adaptability on task performance varied with levels of organizational seniority. Conditional Effects were substantial. Career Adaptability positively affected Work Performance for individuals with less than five years of seniority but had a weaker effect for those with 11–15 years and an adverse effect for those with >21 years of seniority. The indirect impact of Achievement Recognition on Work Performance through Career Adaptability was significant for newly employed workers but non-significant for experienced workers. The study underscores the importance of Achievement Recognition in enhancing Career Adaptability and, subsequently, Work Performance. The moderating role of Organizational Seniority suggests that interventions to boost Career Adaptability and Work Performance should be tailored to different career stages. Academic institutions should implement recognition programs, adaptability training, and mentorship schemes that consider faculty members' career stages to foster a high-performing, adaptable workforce.

Adapting a Longitudinal Structured Program to Enhance Research Skills in Undergraduate Medical Students: A Key Advancement in Competency-Based Medical Education

Background: Abundant literature signifies the imperative role of evidence-based research in the health sector which underpins the importance of training medical graduates in research skills early in their medical journey. Low awareness, less knowledge, and minimal practical involvement of undergraduates (UGs) in research have been identified all over India. The lack of structured delivery of research curriculum in the UG period has been the basis of uptaking this project with the aim of developing research competency in medical UGs. Materials and Methods: The study was conducted as a participatory action research with a mixed-method approach in the department of community medicine at a medical college. A structured validated module was developed by the core committee and then pilot tested. The 5 years’ journey through module development, pilot testing, longitudinal delivery, and then adapting it into a value-added course program at the university curriculum level was attempted. Results: “UG Medical Research” has been adopted as value-added course in the curriculum of MBBS in the university. The research program is being run in a longitudinal structured manner with all MBBS UGs being trained using the “Module for UG Medical Research” module followed by research mentoring by faculty and subsequently academic scholarships in Electives Research Block 1. Interdisciplinary voluntary faculty pool has been created for research mentoring of UG students. The research environment of the institute has improved in terms of the increase in the number of research projects being carried out by UG students, Short Term Studentship (STS) Indian Council of Medical Research (ICMR) research scholarships, conducting annual UG research exhibition/conferences in the campus, awards for best research works, and providing intramural research grant for UGs. Conclusions: The longitudinal structured research program was successfully incorporated into the UG curriculum which enabled UG students to demonstrate acquisition of research competency.

Digital Transformation, Executive Incentives, and Bachelor's Education in Chinese A-share Listed Companies

This research investigates the interplay between digital transformation, executive incentives, and executive education in Chinese A-share listed corporations. Using a comprehensive dataset, this study examines how executives' educational backgrounds, specifically those with bachelor's degrees, influence their adoption of digital transformation initiatives. The findings highlight that CEOs with bachelor's degrees demonstrate higher adaptability to digital transformation, leveraging their exposure to contemporary educational curricula and technological advancements. Furthermore, the study explores various incentive systems, such as bonuses and stock options, which effectively motivate executives to implement digital strategies successfully.This research contributes by emphasizing the critical alignment of executive incentives with digital transformation goals. It underscores the importance of educational preparedness in equipping leaders with the requisite skills to navigate and lead in the digital era. These insights are crucial for policymakers and corporate boards aiming to enhance organizational performance through targeted executive development and robust incentive structures.

Navigating new assessment policy

The last issue of Assessment News (Darr & Cosslett, 2024) outlined NZCER’s position on possible assessment policy directions that had been signalled by parties within the new coalition government. Since then, the Government has released a plan for consistent assessment, which requires all primary schools to use standardised assessment tools twice yearly. The PATs are one of three choices of assessment tools that schools can use for progression monitoring in Years 3–8. This edition of Assessment News is written by members of NZCER’s Assessment Services and Education Advisory teams. The team reflects on how they are going about providing the support needed to help schools to navigate the new policy settings and build assessment and data analysis capability according to where each school is at and what they want to achieve.

Editorial

E ngā kaipānui o Set: Research Information for Teachers, kia ora, kia kaha, kia māia. Ko tēnei te wā o Whiringa-ā-Nuku. The sun is trying its best to warm the ground, still with a chill in the air. This issue aims to provide some warm support to teachers who have received crisp directions over the winter months on how to structure teaching and learning. Two commissioned supporting articles provide the bookends. For Q&A I asked the lead developer of social and emotional learning resources for teachers, Aha and Oto, to share her wisdom. Cat Lunjevich explains how collaborating with researchers, schools, and their communities influenced the design of the cards and the support they provide for teachers to foster social and emotional learning. For Assessment News I asked the Progressive Achievement Tests’ (PAT) Assessment Services and Education Advisory team to explain how they will support schools to manage the Ministry of Education’s new assessment requirements. Ben Gardiner and advisers draw on the concept of wayfinding to understand each school’s starting point and guide them toward their preferred destination. The article follows up the previous edition of Assessment News, which outlined the position of the New Zealand Council of Educational Research (Darr and Cosslett, 2024) on potential policy directions prior to the Ministry’s July announcement. Between the two bookends readers will find articles across Practitioner Inquiry, He Rangahau Whakarāpopoto, and He Whakaaro Anō.

EFL Students’ Perception in Indonesia and Taiwan on Using Artificial Intelligence to Enhance Writing Skills

Technological advancements in education have introduced Artificial Intelligence (AI) as a transformative tool to enhance academic writing skills in English as a Foreign Language (EFL). This study explored EFL students’ perceptions in Indonesia and Taiwan regarding the role of AI in improving their writing abilities. Using qualitative research methods, data were collected through semi-structured interviews with 20 second-year students specializing in English at an Islamic State University in Indonesia and a National University in Taiwan, who actively use AI tools in their writing processes. Analysis based on Creswell’s thematic framework revealed positive perceptions of AI, with benefits such as improved grammar, sentence structure, paraphrasing skills, vocabulary enrichment, and efficiency in topic generation. However, concerns also emerged about excessive reliance on AI, reduced creativity, and issues of plagiarism and authenticity. These findings highlighted the dual-edged nature of AI in academic writing, emphasizing the need for careful integration and risk mitigation to fully leverage AI’s educational benefits. This research enriched the discourse on technological advancements in EFL education and provides insights for curriculum developers, educators, and policymakers to optimize AI use in academic settings. The practical implications of these findings included strategies to enhance the effectiveness of AI in education and foster innovation in EFL teaching.

Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers Perspectives

Technological advancements in education offer innovative tools that significantly impact the teaching and learning processes. Among these innovations, artificial intelligence (AI)-supported tools such as AutoGPT promise revolutionary changes in the field of English Language Teaching (ELT). This study aims to investigate the integration of AutoGPT into feedback processes in ELT at a private school in Konya. The research seeks to explore the effects of AutoGPT on feedback mechanisms in ELT and to examine teachers’ perceptions and experiences regarding the use of this AI tool. Conducted from a basic qualitative research design, this study involved semi-structured interviews with English teachers who had at least two years of teaching experience and had used AutoGPT for feedback purposes. The interviews aim to uncover teachers' views on the effectiveness of AutoGPT and the challenges encountered. The data were analyzed using thematic analysis with MAXQDA 24 software, identifying key themes related to the advantages, limitations, and practical applications of AutoGPT in ELT. The findings reveal that teachers consider AutoGPT a valuable tool for providing quick and comprehensive feedback on student writing. It was highlighted that AutoGPT effectively addresses students' difficulties in understanding concepts, alleviates teachers' workload, and offers objective evaluations to save time. However, concerns about the excessive use of technology potentially reducing students' sense of responsibility were also expressed. This study indicates that experienced teachers are necessary for the effective use of AutoGPT in ELT, and in this context, the development of comprehensive AI training programs for teachers is proposed.

Current Experience in the Use of Digital Educational Resources: Future Primary School Teachers’ Training

The article presents theoretical insight into thorough analyses of the outstanding experience and best practices in using digital educational resources by educators. We attempt to integrate these findings into training students who obtain a Master’s degree in Primary Education. Intensive use of information and communication technologies has proved efficient in preparing a new generation of innovative highly skilled would-be teachers for primary school in recent years. Although Ukrainian practice in this context is significant, however, huge accomplishments of the best world researchers still produce a noticeable impact on education advancement in many countries. The author draws attention to the relevant issue of training future educators in primary school to use digital open educational resources in their professional activities. The best practical experience of eminent Ukrainian and foreign scholars and teachers was analyzed. The suggested digital resources are examined on the field, purpose, and efficiency of their application with primary school children. The article highlights the educational potential of the popular tools for interactive online and offline communication and assessment of learning outcomes; vivid presentation of the educational content; creative thinking and soft skills development in the classroom as well as automated writing evaluation. Frequent challenges and hardships that educators have to deal with while using digital tools in the classroom are singled out and some solutions to the problem are suggested. The author points out the urgent necessity for young educators to gain new knowledge and skills for not only personal growth and self-development but also, for greater opportunities to be competitive in the contemporary labor market.

Analyzing the Perception of the Students on the Subject of Excellence of Private Sector in the Promotion of Education

This study evaluates the quality of education at private institutions in Tehsil Wari Dir Upper, with an emphasis on student perspectives and the sector's contribution to educational advancement. The study's population consisted of students enrolled in grades 11 and 12 at private institutions. There are ten private institutions with a total student of 795. The study's sample size was determined using the Krejcie and Morgan (1970) table, which showed a needed sample of 260 students. Out of them, 246 students filled out and returned the surveys. Data was collected through a self-developed, closed-ended questionnaire, which contained ten items. This questionnaire has been validated by subject experts in the field. The items were perceived using a five-point Likert scale. SPSS-27 (Crop, 2020) software has been used to analyze the collected data. The study uses descriptive statistics to investigate data, showing students have a positive perception of educational quality, focusing on successful SLO-based teaching and multimedia tools. However, differing perspectives exist on continuous evaluations and co-curricular possibilities. The report emphasizes private institutions' role in education. Overall, the findings highlight the efficacy of private education in the region and provide topics for further study and policy development.

The Impact of Meritocracy on Higher Education: A Perspective from College Admissions Policies in Mainland China

This study examines the impact of meritocracy on higher education in mainland China, focusing on university admission policies. Since the reform and opening-up period, Chinas economic and educational advancements have increasingly emphasized elitism, particularly in allocating university admission slots through mechanisms like the Gaokao. The analysis, conducted from historical and contemporary perspectives, reveals that while elitism has optimized the distribution of educational resources, it has also deepened social inequalities. Despite their intent to promote fairness, policies such as the provincial quota system and independent admissions have widened regional and urban-rural disparities in educational resources. Furthermore, government initiatives like targeted poverty alleviation and regional preferential policies have had limited success in addressing these disparities. The study concludes that while elitism has centralized high-quality educational resources, it has hindered upward social mobility, especially for students from rural and disadvantaged backgrounds, highlighting the need for comprehensive reforms to achieve educational equity and social justice.

Integrating Sustainability and Digital Advancements In Maritime Law Education: Enhancing Cadet Preparedness

This research investigates the integration of sustainability principles and digital advancements in maritime law education within vocational training programmes. Drawing on qualitative perspectives from maritime professionals and educators, the study identifies critical areas for curriculum enhancement and skill development. Key findings highlight the industry's emphasis on regulatory compliance, safety management, and the use of digital technologies in maritime operations. The research underscores the importance of practical training modules, simulation-based learning, and industry partnerships in preparing cadets for real-world challenges. Expertise from industry stakeholders informs curriculum design, focusing on digital navigation tools, safety protocols, and regulatory frameworks like STCW and IMO standards. Assessment of cadet readiness reveals strengths in theoretical knowledge but emphasizes the need for more extensive practical training. Innovative approaches using simulators and online platforms enhance learning outcomes and operational efficiencies. The study concludes with recommendations for ongoing collaboration between academia and industry to sustain curriculum innovation and prepare a competent workforce for the evolving maritime industry.

Present Status of Inclusive Moral Education in India

A vital component of India's educational system, inclusive moral education reflects the nation's broad religious, cultural, and socioeconomic heterogeneity. To advance a thorough and unbiased moral viewpoint, it integrates teachings from several theological and philosophical traditions, including the religion of Buddhism, the Sikhism Christianity, Islam, the Hindu faith, and secular humanism. This method entails a curriculum that presents moral parables, moral dilemmas, and historical accounts that highlight the moral achievements of many cultures. Instructors are essential in helping pupils navigate morally challenging circumstances and encouraging courteous discourse. In order to create an inclusive atmosphere, professional development programs may assist instructors in addressing touchy themes including race, ethnicity, faith, and socioeconomic status. Programs that include the community and community service can assist students in putting moral principles into practice and in understanding how their actions influence other people. For comprehensive moral education to be provided, systemic prejudices and injustices must be addressed. This entails promoting gender equality, combating caste-based discrimination, and fostering an inclusive environment for marginalized communities. Utilizing technology and digital media, inclusive moral education may be promoted while offering students personalized, interactive learning opportunities. With initiatives and regulations that support tolerance, compassion, and critical thinking, the Indian government and institutions of learning are essential to the advancement of inclusive moral education. The goal of inclusive moral education is to produce socially conscious and ethically aware people who can make valuable contributions to India's heterogeneous society.

Effects of pedagogical intervention on Chinese EFL learners' use of motivational regulation strategies and oral English proficiency improvement

This study investigated the role of motivational regulation strategies (MRSs) in English as a foreign language (EFL) pedagogy, with a focus on Chinese university students. While prior research has explored MRSs, their specific impact on the oral proficiency of Chinese EFL learners remains under-examined. This mixed-methods research offers empirical insights, advocating for the integration of MRSs into EFL instruction to bolster students' oral proficiency. The study is bifurcated, with the first phase dedicated to cataloging MRSs' usage among Chinese university students and crafting the Speaking Strategies for Motivational Regulation Questionnaire (SSMRQ). This initial phase engaged 171 EFL students from a northern Chinese "211 project" university, employing convenience sampling. Factor analysis of participant responses culminated in a 15-item SSMRQ, spanning five dimensions: Environment Structuring (ES), Mastery Self-Talk (MST), Self-Consequating (SC), Self-Oriented Performance Self-Talk (SPST), and Externally-Oriented Performance Self-Talk (EPST). The second phase assessed the efficacy of MRSs-oriented instruction on student application of MRSs and oral English proficiency. This quasi-experimental study involved 22 consenting second-year English majors from the participating university. Data collection instruments encompassed the SSMRQ, oral English proficiency tasks, reflective journals, and semi-structured interviews. The instructional intervention spanned four weekly 30-min sessions, targeting the five MRSs' dimensions and offering feedback on oral performance. Assessments were conducted pre- and post-intervention using the SSMRQ, oral tasks, and reflective journals. Six participants, selected based on their oral English performance, were interviewed in-depth. Results suggest that the instructional intervention had a significant effect on the students' use of MRSs and their oral English proficiency. The study offers pedagogical insights into EFL speaking instruction in the higher education context, underscoring the importance of personalized teaching strategies tailored to individual learner needs. Collectively, this research introduces the SSMRQ and elucidates the pedagogical merits of MRSs-based instruction on oral English proficiency, establishing an empirical base for subsequent inquiry and pedagogical advancement in language education.

Fostering student competencies and perceptions through artificial intelligence of things educational platform

The growing demand for artificial intelligence (AI) skills across various sectors has enhanced AI-focused careers and shaped academic exploration in educational institutions. These institutions have been actively developing teaching methods that enhance practical AI applications, particularly through integrating AI with the Internet of Things (IoT), leading to the emergence of the Artificial Intelligence of Things (AIoT). This convergence promises significant advancements in AI education, addressing gaps in structured learning methods for AIoT. This study explored AIoT's application in Smart Farming (SF) and its potential to enrich AI education and sectoral advancements. The AIoT platform was designed for SF simulations, integrating environmental sensing, AI processing, and user-friendly outputs. This platform was implemented with 40 first-year computer science university students in Thailand using a one-group pre-posttest design. This approach transformed theoretical AI concepts into experiential learning through interactive activities, demonstrating AIoT's capability to increase AI conceptual understanding, trigger AI competencies, and promote positive learning perceptions. Therefore, this study presented the results as indicative of the AIoT platform's potential benefits, emphasizing the need for further robust experimental research. This study contributes to educational technology discussions by suggesting improvements in AIoT platform effectiveness and highlighting areas for future investigation.

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study.

It is vital for residents to have a longitudinal view of their educational progression, and it is crucial for the medical education team to have a clear way to track resident progress over time. Current tools for aggregating resident data are difficult to use and do not provide a comprehensive way to evaluate and display resident educational advancement. This study aims to describe the creation and assessment of a system designed to improve the longitudinal presentation, quality, and synthesis of educational progress for trainees. We created a new system for residency progress management with 3 goals in mind, that are (1) a long-term and centralized location for residency education data, (2) a clear and intuitive interface that is easy to access for both the residents and faculty involved in medical education, and (3) automated data input, transformation, and analysis. We present evaluations regarding whether residents find the system useful, and whether faculty like the system and perceive that it helps them save time with administrative duties. The system was created using a suite of Google Workspace tools including Forms, Sheets, Gmail, and a collection of Apps Scripts triggered at various times and events. To assess whether the system had an effect on the residents, we surveyed and asked them to self-report on how often they accessed the system and interviewed them as to whether they found it useful. To understand what the faculty thought of the system, we conducted a 14-person focus group and asked the faculty to self-report their time spent preparing for residency progress meetings before and after the system debut. The system went live in February 2022 as a quality improvement project, evolving through multiple iterations of feedback. The authors found that the system was accessed differently by different postgraduate years (PGY), with the most usage reported in the PGY1 class (weekly), and the least amount of usage in the PGY3 class (once or twice). However, all of the residents reported finding the system useful, specifically for aggregating all of their evaluations in the same place. Faculty members felt that the system enabled a more high-quality biannual clinical competency committee meeting and they reported a combined time savings of 8 hours in preparation for each clinical competency committee as a result of reviewing resident data through the system. Our study reports on the creation of an automated, instantaneous, and comprehensive resident progress management system. The system has been shown to be well-liked by both residents and faculty. Younger PGY classes reported more frequent system usage than older PGY classes. Faculty reported that it helped facilitate more meaningful discussion of training progression and reduced the administrative burden by 8 hours per biannual session.