Hasil untuk "Vocational guidance. Career development"

Qianru Wei, Jihaoyu Yang, Cheng Zhang et al.

With the development of information technology, the application of artificial intelligence and machine learning in the field of education shows great potential. This study aims to explore how to utilize K-means clustering algorithm to provide accurate career guidance for college students. Existing methods mostly focus on the prediction of career paths, but there are fewer studies on the fitness of students with different combinations of characteristics in specific career directions. In this study, we analyze the data of more than 3000 students on their CET-4 scores, GPA, personality traits and student cadre experiences, and use the K-means clustering algorithm to classify the students into four main groups. The K-means clustering algorithm groups students with similar characteristics into one group by minimizing the intra-cluster squared error, ensuring that the students within the same cluster are highly similar in their characteristics, and that differences between different clusters are maximized. Based on the clustering results, targeted career guidance suggestions are provided for each group. The results of the study show that students with different combinations of characteristics are suitable for different career directions, which provides a scientific basis for personalized career guidance and effectively enhances students' employment success rate. Future research can further improve the precision of clustering and the guidance effect by expanding the sample size, increasing the feature variables and considering external factors.

Rahul Soni, Basem Suleiman, Sonit Singh

This paper aims to address the challenge of selecting relevant courses for students by proposing the design and development of a course recommendation system. The course recommendation system utilises a combination of data analytics techniques and machine learning algorithms to recommend courses that align with current industry trends and requirements. In order to provide customised suggestions, the study entails the design and implementation of an extensive algorithmic framework that combines machine learning methods, user preferences, and academic criteria. The system employs data mining and collaborative filtering techniques to examine past courses and individual career goals in order to provide course recommendations. Moreover, to improve the accessibility and usefulness of the recommendation system, special attention is given to the development of an easy-to-use front-end interface. The front-end design prioritises visual clarity, interaction, and simplicity through iterative prototyping and user input revisions, guaranteeing a smooth and captivating user experience. We refined and optimised the proposed system by incorporating user feedback, ensuring that it effectively meets the needs and preferences of its target users. The proposed course recommendation system could be a useful tool for students, instructors, and career advisers to use in promoting lifelong learning and professional progression as it fills the gap between university learning and industry expectations. We hope that the proposed course recommendation system will help university students in making data-drive and industry-informed course decisions, in turn, improving graduate outcomes for the university sector.

Shondell Williams, Karen Blackmore, Regina Berretta et al.

Demand for technology focused STEM professionals will increase globally over the coming decade, with many countries finding it difficult to meet growing demand. Compounding this are difficulties in attracting and retaining female technology-focused professionals. Research seeking to address this gender imbalance and workforce shortage focuses on increasing participation among school leavers. However, there is a paucity of research around the potential for females to upskill or reskill into an ICT career. As a starting point, this review asks the question: "What potential drivers and barriers have been identified that impact on female intentions or choices to reskill or upskill to a technology focused STEM career". Results indicate dissatisfaction in a first career, combined with positive computing experiences in the workplace can rouse interest in computing professions. Learning of job opportunities, especially from salient referents, is also a key driver. Results indicate women must overcome negative identity and academic beliefs, as well as self-doubt to make the switch. In summary, it is possible to increase and diversify the tech workforce by leveraging women's latent interest in computing. This review provides a roadmap for research to support educational institutions, employers, and women to benefit from upskilling or reskilling opportunities

Elizabeth Spiers, Jessica Weber, Katherine Dzurilla et al.

A white paper submitted to the 2025 NASA Decadal Astrobiology Research and Exploration Strategy (DARES) on the importance of early-career training, support, and retention. The paper identifies two goals for NASA Astrobiology regarding early career researchers (ECRs): (1) Knowledge Retention and Workforce Stability, and (2) Foster Collaboration & Strengthen Community. The paper outlines the challenges of achieving these goals and offers recommendations for actions that NASA Astrobiology can take to further train, support, and retain ECRs in NASA Astrobiology.

Siddhesh Pimpale

The introduction of Smart Electric Vehicles (SEVs) represents an increasingly disruption on automotive area, once integrates advanced computer and communication technologies to highly electrical cars, which come with high performances, environment friendly and user friendly characteristics . But the increasing complexity of SEVs prompted by greater dependence on interconnected systems, autonomous capabilities and electrification, presents new challenges in cybersecurity as well as functional safety. The safety and reliability of such vehicles is paramount, as unsafe or unreliable operation in either case represents an unacceptable risk in terms of the performance of the vehicle and safety of the passenger. This paper investigates the integrated development of cybersecurity and functional safety for SEVs, emphasizing the requirement for the parallel development of these domains as components that are not treated separately. In SEVs, cybersecurity is quite crucial in order to prevent the threats of hacking, data breaches and unauthorized access to vehicle systems. Functional safety ensures that important vehicle functions (braking, steering, battery control, etc.) keep working even if some part fails. This convergence of functional safety issues with cybersecurity issues is becoming more crucial, since a security incident can result in a failure of catastrophic consequences for a functional safety system and, conversely. This paper reports the current state of cybersecurity and functional safety standards for SEVs, highlighting challenges that include the weaknesses of communication networks, the potential security threats of over-the-air updates, and the demand for real-time responsive systems for failure.

Pyeonghwa Kim, Steve Sawyer, Michael Dunn

We advance gender-inclusive research within the CSCW field by investigating the long-term gendered experiences of online freelancers on digital labor platforms. The prevalence of gender-based inequalities has attracted significant attention within the CSCW community. Yet, insights remain limited on how these inequalities shape workers' long-term experiences on digital labor platforms. Through a five-year longitudinal study of 105 freelancers on Upwork, we reveal persistent gender disparities that influence workers' long-term work and career trajectories, raising concerns about the sustainability of platform-mediated work. We advance the ongoing dialogue on gender inclusivity in the community by introducing the concepts of career disempowerment and platform-mediated motherhood penalty and by offering research and design implications for CSCW to foster more sustainable, equitable platform work environments for all genders.

Oz Amram, Grace Cummings

This document represents a contribution of the United States early career collider physics community to the 2025--2026 update to the European Strategy for Particle Physics. Preferences with regard to different future collider options and R&D priorities were assessed via a survey. The early career community was defined as anyone who is a graduate student, postdoctoral researcher, untenured faculty member, or research scientist under 40 years of age. In total, 105 participants responded to the survey between February and March 10th, 2025. Questions were formulated primarily to gauge the enthusiasm and preferences for different collider options in line with the recommendations of the United States' P5 report, relevant to the European Strategy Update.

Masaya Nishihata

Superstars often dominate key tasks because of their exceptional abilities, but this concentration of responsibility may unintentionally limit on-the-job learning opportunities for others. Using panel data from Major League Baseball (MLB), this study examines how superstar presence affects teammates' opportunities and career outcomes. To address potential endogeneity in team composition, we exploit plausibly exogenous variation in superstar availability caused by injuries. When a superstar is active in the same team-position unit, non-star teammates play significantly less. These short-term reductions in playing time extend to longer horizons: players who begin their careers alongside a superstar who remains active for a full season (i.e., not on the injured list) are about 1.7 times more likely to exit MLB earlier than comparable peers. A key mechanism is reduced skill development -- limited playing opportunities hinder subsequent growth in offensive performance. At the team level, greater dependence on superstars raises immediate productivity but magnifies performance declines after their departure, indicating a trade-off between short-term success and long-term adaptability. Overall, the findings suggest that while concentrating key roles in top performers boosts output in the short run, it can restrict others' development and retention. Similar dynamics may arise in other organizations that rely heavily on a few exceptional individuals.

Parthiv Katapara, Anand Sharma

The adoption of DevOps practices in embedded systems and firmware development is emerging as a response to the growing complexity of modern hardware--software co-designed products. Unlike cloud-native applications, embedded systems introduce challenges such as hardware dependency, real-time constraints, and safety-critical requirements. This literature review synthesizes findings from 20 academic and industrial sources to examine how DevOps principles--particularly continuous integration, continuous delivery, and automated testing--are adapted to embedded contexts. We categorize efforts across tooling, testing strategies, pipeline automation, and security practices. The review highlights current limitations in deployment workflows and observability, proposing a roadmap for future research. This work offers researchers and practitioners a consolidated understanding of Embedded DevOps, bridging fragmented literature with a structured perspective.

Xiaomei Cheng, Guangya Ma, Lu Zhang et al.

Career exploration, a critical antecedent to college students’ career choices and employment, offers essential guidance for their career development. However, existing research has not explored how changes in family economic stress impact career exploration. Drawing on social cognitive career theory, this study aims to deepen our understanding of the complex interplay between family economic stress and career exploration among vocational school students. We tested our hypotheses using three-time lagged data collected from 600 vocational school students studying in mainland China. As expected, family economic stress positively predicts career exploration via love of money. Additionally, both students’ effective part-time behavior and teacher support were found to positively moderate the indirect relationship between family economic stress and career exploration through love of money. We attempt to highlight the broader implications of understanding the nuanced ways in which economic background shapes career exploration. Theoretical and practical implications are discussed.

Anna Veres, Tünde Póka

"Many organizations and career guidance professionals are curious about what personality traits can tell them about a person’s potential, qualities and attitude to work. This study assessed the personality traits, work values and vocational interests of university students. The relationships between these three constructs were investigates, and more specifically, the extent to which personality traits and work value can predict vocational interest. Vocational interest determines one’s career development and work choice. The study included 304 participants with a mean age of 25.4 years (SD=8.11). In our analysis, we used the HEXACO personality questionnaire, the Work Value Questionnaire measuring 15 subcategories and the RIASEC Vocational Interest Questionnaire. The aim of this study is to get a clearer picture of the relationship between personality traits, work values and vocational interests. The results show that personality traits are also predictive, but together with work value, they are stronger predictors of vocational interest. The results are presented in the light of career development. Keywords: personality traits, vocational interest, work value, university students"

مرضیه ملکیها, فرشید اصلانی

هدف: این پژوهش با هدف بررسی اثر مداخلات مسیرشغلی در رشد مسیرشغلی دانشجویان ایران با رویکرد فراتحلیل انجام شده است. روش: این پژوهش از لحاظ هدف کاربردی و از نظر روش توصیفی و برحسب نوع داده‌ها کمی و از نظر شیوۀ پردازش داده‌ها مبتنی بر روش فرا تحلیل می باشد. جامعه مورد مطالعه شامل مقالات و پژوهش‌های چاپ شده در مجلات معتبر علمی در زمینۀ مورد پژوهش در سال‌های 1380 تا 1402 است که با جستجوی کلمات کلیدی در پایگاه‌های اطلاعاتی با استفاده از روش نمونه‌گیری غیرتصادفی هدفمند و با در نظر گرفتن معیارهای غربالگری‌های تعداد 17پژوهش به عنوان مطالعات منتخب وارد فرآیند فراتحلیل شدند. ابزار گردآوری داده‌ها و اطلاعات مورد نیاز در مطالعات نظام‌مند مبتنی بر فرا تحلیل شامل استفاده از چک لیست می‌باشد. پایایی اندازه‌های اثر متغیرهای استخراج شده از مطالعات منتخب از طریق بررسی سطح معنی‌داری و آماره T در روش فرا تحلیل به دست آمد. برای تحلیل داده‌ها از شاخص‌های آماری روش فرا تحلیل و نرم افزارSTATA استفاده شد. یافته‌ها: نتایج پژوهش نشان داد که اندازه‌های اثر مداخلات مسیرشغلی در رشد مسیرشغلی همۀ پژوهش‌ها در سطوح مختلف معنادار است و بیشترین اندازه اثر مربوط به پژوهش ملکیها و علیانسب (1399) برابر 9.23 و کمترین اندازه اثر مربوط به پژوهش حیدرنیا و همکاران (1397) برابر1.30- می‌باشد. همچنین طبق یافته‌های پژوهش اندازه اثر کل برابر 1.80 بوده که در سطح (05/0>P) معنادار می‌باشد. نتیجه‌گیری: بر اساس نتایج این مطالعه می‌توان نتیجه گرفت که مداخلات مسیرشغلی تأثیر مثبت و معناداری بر رشد مسیرشغلی دانشجویان در دانشگاه‌های ایران داشته است

Magdalena Barańska

The aim of this article is to outline how career guidance classes in early childhood education can be valuable for lifelong development. Career counselling is still strongly associated with helping adults, the unemployed, to retrain. It is treated as an expert service primarily related to the labour market. Career counselling should be disenchanted. Undoubtedly, it is a professional service, but it is equally firmly inscribed in the educational process. According to the core curriculum, one of the tasks of the school is to prepare students to choose their further education and profession. The school runs vocational guidance classes, which fit in with lifelong learning. Due to the approaching transition from primary to secondary school, much attention is paid to counselling classes for seventh and eighth graders. However, developing interests and getting to know oneself starts much earlier, so it is worth weaving elements of vocational knowledge into the process.

Ekai Hashimoto, Mikio Nakano, Takayoshi Sakurai et al.

This study aims to improve the efficiency and quality of career interviews conducted by nursing managers. To this end, we have been developing a slot-filling dialogue system that engages in pre-interviews to collect information on staff careers as a preparatory step before the actual interviews. Conventional slot-filling-based interview dialogue systems have limitations in the flexibility of information collection because the dialogue progresses based on predefined slot sets. We therefore propose a method that leverages large language models (LLMs) to dynamically generate new slots according to the flow of the dialogue, achieving more natural conversations. Furthermore, we incorporate abduction into the slot generation process to enable more appropriate and effective slot generation. To validate the effectiveness of the proposed method, we conducted experiments using a user simulator. The results suggest that the proposed method using abduction is effective in enhancing both information-collecting capabilities and the naturalness of the dialogue.

عطیه آقاجانی, امید بهبودی

نگرانی درباره‌ی محیط زیست باعث شده حرکتی به نام نهضت سبز به وجود آید و شرکت‌های نیک‌اندیش پا از مقررات دولت‌ها فراتر بگذارند. آن‌ها از استراتژی‌هایی استفاده می‌کنند که محیطی پایدار به وجود می‌آورد و می-کوشند یک نظام اقتصادی بر جهان حاکم کنند که بقا و دوام این کره خاکی را تضمین کند. لذا هدف این پژوهش بررسی تأثیر مسئولیت اجتماعی درک شده برند بر رفتار تعاملی پایدار مشتری، با تأکید بر نقش نگرانی‌های زیست محیطی و اعتماد سبز می‌باشد. جامعه آماری مشتریان محصولات کشاورزی فروشگاه‌های زنجیره‌ای مشهد بودند. حجم نمونه با فرمول کوکران 384 درنظر گرفته شد. داده‌ها از طریق پرسشنامه استاندارد Chuah et al. (2020) جمع‌آوری شد و روایی پرسشنامه از طریق روایی صوری و تأیید خبرگان و روایی سازه با استفاده از بارهای عاملی و پایایی با استفاده از آزمون آلفای کرونباخ و پایایی ترکیبی تأیید شد. جهت تجزیه و تحلیل داده‌ها از مدل‌سازی معادلات ساختاری با نرم‌افزار PLS بهره گرفته شد. نتایج حاصل از این تحقیق نشان می‌دهد که مسئولیت اجتماعی درک شده برند بر اعتماد سبز تأثیرگذار بوده است؛ اما تأثیر آن بر نگرانی‌های زیست محیطی تأیید نشده است. همچنین مشخص شد که نگرانی‌های زیست محیطی و اعتماد سبز بر رفتار تعاملی پایدار مشتری تأثیر معناداری دارد. در نهایت تأثیر رفتار تعاملی پایدار مشتری بر وفاداری و رفتار شهروندی مشتری نیز تأیید شد. پیشنهاد می‌شود برندها بر جنبه‌های محسوس مسئولیت اجتماعی تمرکز کرده و آن را برای مشتریان تشریح کنند تا آنان اهمیت موضوع را بهتر درک کنند.

Ye Sun, Fabio Caccioli, Giacomo Livan

How difficult is it for an early career academic to climb the ranks of their discipline? We tackle this question with a comprehensive bibliometric analysis of 57 disciplines, examining the publications of more than 5 million authors whose careers started between 1986 and 2008. We calibrate a simple random walk model over historical data of ranking mobility, which we use to (1) identify which strata of academic impact rankings are the most/least mobile and (2) study the temporal evolution of mobility. By focusing our analysis on cohorts of authors starting their careers in the same year, we find that ranking mobility is remarkably low for the top and bottom-ranked authors, and that this excess of stability persists throughout the entire period of our analysis. We further observe that mobility of impact rankings has increased over time, and that such rise has been accompanied by a decline of impact inequality, which is consistent with the negative correlation that we observe between such two quantities. These findings provide clarity on the opportunities of new scholars entering the academic community, with implications for academic policymaking.

Camille Stephanus, Josiane Vero

Employees in low-skilled jobs have limited agency when it comes to professional retraining. Career transitions for low-skilled white-collar workers, despite their frequent desire to change professions, are often hindered; they prove to be more common but constrained and externally driven for low-skilled blue-collar workers.

نوشین پردلان, سمیرا وکیلی

هدف پژوهش حاضر پیشبینی عملکرد تحصیلی دانشجویان با استفاده از خودکارآمدی تصمیم گیری شغلی، انطباق پذیری مسیر شغلی و سلامت خواب بود. روش پژوهش توصیفی-پیمایشی از نوع همبستگی بود که در آن 320 نفر از دانشجویان استان تهران بود که به روش نمونه گیری در دسترس انتخاب و توسط مقیاس انطباق پذیری مسیر شغلی ؛ پرسشنامه خودکارآمدی تصمیم گیری مسیر شغلی، پرسشنامه سلامت خواب و سنجه عمکلرد تحصیلی مورد سنجش قرار گرفتند. داده ها با استفاده از تحلیل همبستگی پیرسون و روش رگرسیون همزمان مورد تجزیه و تحلیل قرار گرفتند. یافته های پژوهش نشان داد بین سلامت خواب، خودکارآمدی تصمیم گیری مسیر شغلی و انطباق پذیری شغلی با عملکرد تحصیلی رابطه مثبت ومعناداری وجود دارد و متغیر های مستقل می توانند در یک مدل رگرسیونی تغیرات متغیر عملکرد تحصیلی را پیش بینی کنند. با توجه به یافته های به دست آمده می توان گفت سلامت خواب در بهبود عملکرد تحصیلی؛ خودکارآمدی تصمیم گیری مسیر شغلی در دورنمای شغلی؛ و انطباق پذیری مسیر شغلی در پیشبرد عملکرد تحصیلی دانشجویان نقش کلیدی دارند.

همایون مرادنژادی

این پژوهش باهدف واکاوی کیفی ترجیحات شغلی و آموزش مهارت‌های شغلی در آموزش‌های کشاورزی و ارائه راهکارهای مناسب برای اشتغال پذیری دانشجویان دانشکده کشاورزی دانشگاه ایلام انجام شد. رویکرد پژوهش کیفی بوده و به‌طور مشخص از میان روش‌های کیفی از روش پدیدارشناسی بهره گرفته شد. مشارکت‌کنندگان در پژوهش تعداد 30 نفر از دانشجویان و اعضای هیئت‌علمی دانشگاه ایلام بودند که با استفاده از روش نمونه‌گیری هدفمند انتخاب و مورد مطالعه قرار گرفتند. ابزار گردآوری داده‌ها مصاحبه نیمه‌ساختارمند بوده است. ملاک پایان نمونه‌گیری ، اشباع نظری داده‌ها بوده است. تجزیه و تحلیل داده‌ها با استفاده از کدگذاری و مقوله‌بندی و استفاده از نرم‌افزار MAX-QDA نسخه 12 انجام شد. برای تأیید روایی و پایایی یافته‌ها از قابلیت اعتماد (دقیق بودن یافته‌ها از منظر پژوهشگر و مشارکت‌کنندگان پژوهش) استفاده شد. نتایج نشان داد که شغل دلخواه بیشتر دانشجویان مشارکت کننده در پژوهش، دولتی بوده است. همچنین از دیدگاه دانشجویان مشارکت کنندگان در پژوهش، ویژگی اقتصادی شغل بیشتر از سایر ویژگی ها شغل برای آنها اهمیت داشته است. نتایج نشان داد که دانشجویان برای انتخاب شغل به آموزش مهارت‌های کسب‌وکار، مهارت‌های روان‌شناختی کارآفرینانه، مهارت‌های موفقیت و مهارت‌های تخصصی و کاربردی رشته نیاز دارند. پیشنهاد می‌شود آموزش‌های مرتبط با حوزه کسب‌وکار و آشنایی با فرصت‌های شغلی، به‌طور جدی و حساب‌شده در برنامه‌های درسی دانشجویان قرار گیرد. همچنین مرکز مشاوره شغلی در دانشگاه ایلام راه‌اندازی شود.

ساناز حیدری, همایون مرادنژادی, سمیره صی محمدی

پژوهش حاضر با هدف شناسایی فرصت‌های‌‌ کسب و کارهای خدماتی بخش کشاورزی برای تعاونی‌های روستایی استان ایلام انجام شد. این مطالعه از نظر هدف، کاربردی و از نظر روش‌شناسی در زمره پژوهش‌های کیفی قرار می‌گیرد. در این پژوهش از روش دلفی بهره گرفته شد. جامعه مورد مطالعه این پژوهش شامل؛ کارکنان شاغل در سازمان جهاد کشاورزی استان ایلام و شهرستان‌ها، کارکنان شاغل در مدیریت تعاون روستایی استان و شهرستان‌ها، مدیر عامل و هیأت مدیره اتحادیه و شرکت تعاونی‌های روستایی، هیأت مدیره خبرگان کشاورزی و نظام صنفی‌ کشاورزی استان ایلام بودند. در کل 110 نفر به عنوان اشخاص خبره و با تجربه، با استفاده از روش نمونه‌گیری هدفمند انتخاب گردیدند. ابزار اصلی مطالعه، مصاحبه و پرسشنامه نیمه‌ساختارمند و ساختارمند می‌باشد که در سه دور طراحی شد و مورد استفاده قرار گرفت. در این پژوهش برای تجزیه‌وتحلیل مراحل دلفی از شاخص‌های آماری میانگین، انحراف معیار و ضریب تغییرات جهت تعیین میزان اتفاق‌نظر شرکت‌کنندگان با استفاده از نرم‌‌افزار SPSS بهره گرفته شد. نتایج نشان داد که مواردی همچون؛ ایجاد بازارهای نهاده‌های دامی و کشاورزی، جمع‌آوری و بسته‌بندی روغن دامی منطقه، ایجاد فروشگاه روستا بازار (عرضه مستقیم محصولات کشاورزی با همکاری شرکت-های تعاونی روستایی) و ایجاد فروشگاه تخصصی ابزارآلات کشاورزی و نهاده‌ها از جمله فرصت‌هایی هستند که در تمام شهرستان‌های مورد مطالعه وجود دارند.