Hasil untuk "Vocational guidance. Career development"

Atula Tejaswi, Litu Rout, Constantine Caramanis et al.

Reward guidance has been applied to great success in the test-time adaptation of continuous diffusion models; it updates each denoising step using the gradients from a downstream reward model. We study reward guidance for discrete diffusion language models, where one cannot differentiate through the natural outputs of the model because they are discrete tokens. Existing approaches either replace these discrete tokens with continuous relaxations, or employ techniques like the straight-through estimator. In this work, we show the downsides of both these methods. The former degrades gradient feedback because the reward model has never been trained with continuous inputs. The latter involves incorrect optimization because the gradient evaluated at discrete tokens is used to update continuous logits. Our key innovation is to go beyond this tradeoff by introducing a novel mechanism called EntRGi: Entropy aware Reward Guidance that dynamically regulates the gradients from the reward model. By modulating the continuous relaxation using the model's confidence, our approach substantially improves reward guidance while providing reliable inputs to the reward model. We empirically validate our approach on a 7B-parameter diffusion language model across 3 diverse reward models and 3 multi-skill benchmarks, showing consistent improvements over state-of-the-art methods.

Juyeop Han, Lukas Lao Beyer, Sertac Karaman

Despite the remarkable success of sampling-based generative models such as flow matching, they can still produce samples of inconsistent or degraded quality. To assess sample reliability and generate higher-quality outputs, we propose uncertainty-aware flow matching (UA-Flow), a lightweight extension of flow matching that predicts the velocity field together with heteroscedastic uncertainty. UA-Flow estimates per-sample uncertainty by propagating velocity uncertainty through the flow dynamics. These uncertainty estimates act as a reliability signal for individual samples, and we further use them to steer generation via uncertainty-aware classifier guidance and classifier-free guidance. Experiments on image generation show that UA-Flow produces uncertainty signals more highly correlated with sample fidelity than baseline methods, and that uncertainty-guided sampling further improves generation quality.

Tyas Asih Surya Mentari, N. Jalinus, Elida Elida et al.

The beauty industry’s diversity presents both opportunities and challenges for vocational students in making informed career choices. This study evaluates the effectiveness of Holland’s Career Theory in improving career decision-making among Beauty Studies students at SMK Negeri 3 Payakumbuh. Utilizing a quantitative, true-experimental posttest-only control design, 67 students were randomly assigned to experimental and control groups. The experimental group received personalized career counseling using the RIASEC model, while the control group followed standard guidance. A career decision-making questionnaire, validated for the Indonesian vocational context through expert review, pilot testing, and reliability analysis (Cronbach’s α = 0.82), was used to measure post-intervention outcomes. Findings show that the experimental group scored significantly higher on the post-test (M = 89.45) compared to the control group (M = 77.82), with a high effect size (d = 0.77), confirming the intervention’s practical significance. These results underscore the value of aligning personality traits with career environments to facilitate more confident and informed career decisions. The study recommends adapting Holland’s theory across other vocational fields to test its versatility and suggests longitudinal research to evaluate the sustained effects on career satisfaction. Furthermore, by addressing societal stereotypes and offering a structured, theory-driven approach to career counseling, this research contributes to elevating vocational education as a pathway to meaningful and fulfilling careers, particularly in fields traditionally undervalued. Integrating Holland’s model into career counseling curricula can support students' long-term career development and improve their transition into the workforce.

卫玲 尤

Against the backdrop of the increasing importance of higher vocational education in cultivating technical and skilled talents, and the challenges faced by vocational college students in terms of insufficient employment competitiveness and lack of intrinsic motivation for career development, this study focuses on the symbiotic mechanism between self-efficacy and career vision among vocational college students. The research findings indicate that the self-efficacy of vocational college students is generally at a medium level, and the clarity of their career vision needs improvement. Moreover, there is a significant positive correlation between the two, and self-efficacy can positively predict career vision. In terms of the symbiotic mechanism, self-efficacy influences career vision at the cognitive, emotional, and behavioral levels, while career vision exerts a counter-effect on self-efficacy through goal orientation and other means. Beliefs play a crucial reinforcing and guiding role in this process. Based on these findings, this study proposes strategies to enhance the self-efficacy and career vision of vocational college students from multiple perspectives, including optimizing curriculum settings, strengthening faculty development, and fostering campus culture in schools; promoting enterprise participation and public opinion guidance in society; and enhancing self-awareness and practical training among students themselves.

Huayu Chen, Kai Jiang, Kaiwen Zheng et al.

Classifier-Free Guidance (CFG) has been a default technique in various visual generative models, yet it requires inference from both conditional and unconditional models during sampling. We propose to build visual models that are free from guided sampling. The resulting algorithm, Guidance-Free Training (GFT), matches the performance of CFG while reducing sampling to a single model, halving the computational cost. Unlike previous distillation-based approaches that rely on pretrained CFG networks, GFT enables training directly from scratch. GFT is simple to implement. It retains the same maximum likelihood objective as CFG and differs mainly in the parameterization of conditional models. Implementing GFT requires only minimal modifications to existing codebases, as most design choices and hyperparameters are directly inherited from CFG. Our extensive experiments across five distinct visual models demonstrate the effectiveness and versatility of GFT. Across domains of diffusion, autoregressive, and masked-prediction modeling, GFT consistently achieves comparable or even lower FID scores, with similar diversity-fidelity trade-offs compared with CFG baselines, all while being guidance-free. Code will be available at https://github.com/thu-ml/GFT.

Ryota Takamido, Chiharu Suzuki, Hiroki Nakamoto

A critical challenge in contemporary sports science lies in filling the gap between group-level insights derived from controlled hypothesis-driven experiments and the real-world need for personalized coaching tailored to individual athletes' unique movement patterns. This study developed a Personalized Motion Guidance Framework (PMGF) to enhance athletic performance by generating individualized motion-refinement guides using generative artificial intelligence techniques. PMGF leverages a vertical autoencoder to encode motion sequences into athlete-specific latent representations, which can then be directly manipulated to generate meaningful guidance motions. Two manipulation strategies were explored: (1) smooth interpolation between the learner's motion and a target (e.g., expert) motion to facilitate observational learning, and (2) shifting the motion pattern in an optimal direction in the latent space using a local optimization technique. The results of the validation experiment with data from 51 baseball pitchers revealed that (1) PMGF successfully generated smooth transitions in motion patterns between individuals across all 1,275 pitcher pairs, and (2) the features significantly altered through PMGF manipulations reflected known performance-enhancing characteristics, such as increased stride length and knee extension associated with higher ball velocity, indicating that PMGF induces biomechanically plausible improvements. We propose a future extension called general-PMGF to enhance the applicability of this framework. This extension incorporates bodily, environmental, and task constraints into the generation process, aiming to provide more realistic and versatile guidance across diverse sports contexts.

Kyanna Dagenais, Istvan David

Model-driven engineering problems often require complex model transformations (MTs), i.e., MTs that are chained in extensive sequences. Pertinent examples of such problems include model synchronization, automated model repair, and design space exploration. Manually developing complex MTs is an error-prone and often infeasible process. Reinforcement learning (RL) is an apt way to alleviate these issues. In RL, an autonomous agent explores the state space through trial and error to identify beneficial sequences of actions, such as MTs. However, RL methods exhibit performance issues in complex problems. In these situations, human guidance can be of high utility. In this paper, we present an approach and technical framework for developing complex MT sequences through RL, guided by potentially uncertain human advice. Our framework allows user-defined MTs to be mapped onto RL primitives, and executes them as RL programs to find optimal MT sequences. Our evaluation shows that human guidance, even if uncertain, substantially improves RL performance, and results in more efficient development of complex MTs. Through a trade-off between the certainty and timeliness of human advice, our method takes a step towards RL-driven human-in-the-loop engineering methods.

Ying Li, Xiaobao Wei, Xiaowei Chi et al.

While recent advancements in robotic manipulation video synthesis have shown promise, significant challenges persist in ensuring effective instruction-following and achieving high visual quality. Recent methods, like RoboDreamer, utilize linguistic decomposition to divide instructions into separate lower-level primitives, conditioning the world model on these primitives to achieve compositional instruction-following. However, these separate primitives do not consider the relationships that exist between them. Furthermore, recent methods neglect valuable visual guidance, including depth and semantic guidance, both crucial for enhancing visual quality. This paper introduces ManipDreamer, an advanced world model based on the action tree and visual guidance. To better learn the relationships between instruction primitives, we represent the instruction as the action tree and assign embeddings to tree nodes, each instruction can acquire its embeddings by navigating through the action tree. The instruction embeddings can be used to guide the world model. To enhance visual quality, we combine depth and semantic guidance by introducing a visual guidance adapter compatible with the world model. This visual adapter enhances both the temporal and physical consistency of video generation. Based on the action tree and visual guidance, ManipDreamer significantly boosts the instruction-following ability and visual quality. Comprehensive evaluations on robotic manipulation benchmarks reveal that ManipDreamer achieves large improvements in video quality metrics in both seen and unseen tasks, with PSNR improved from 19.55 to 21.05, SSIM improved from 0.7474 to 0.7982 and reduced Flow Error from 3.506 to 3.201 in unseen tasks, compared to the recent RoboDreamer model. Additionally, our method increases the success rate of robotic manipulation tasks by 2.5% in 6 RLbench tasks on average.

Ada Yi Zhao, Aditya Gunturu, Ellen Yi-Luen Do et al.

Large language models (LLMs) have enabled the automatic generation of step-by-step augmented reality (AR) instructions for a wide range of physical tasks. However, existing LLM-based AR guidance often lacks rich visual augmentations to effectively embed instructions into spatial context for a better user understanding. We present Guided Reality, a fully automated AR system that generates embedded and dynamic visual guidance based on step-by-step instructions. Our system integrates LLMs and vision models to: 1) generate multi-step instructions from user queries, 2) identify appropriate types of visual guidance, 3) extract spatial information about key interaction points in the real world, and 4) embed visual guidance in physical space to support task execution. Drawing from a corpus of user manuals, we define five categories of visual guidance and propose an identification strategy based on the current step. We evaluate the system through a user study (N=16), completing real-world tasks and exploring the system in the wild. Additionally, four instructors shared insights on how Guided Reality could be integrated into their training workflows.

Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas et al.

Diffusion-based Handwritten Text Generation (HTG) approaches achieve impressive results on frequent, in-vocabulary words observed at training time and on regular styles. However, they are prone to memorizing training samples and often struggle with style variability and generation clarity. In particular, standard diffusion models tend to produce artifacts or distortions that negatively affect the readability of the generated text, especially when the style is hard to produce. To tackle these issues, we propose a novel sampling guidance strategy, Dual Orthogonal Guidance (DOG), that leverages an orthogonal projection of a negatively perturbed prompt onto the original positive prompt. This approach helps steer the generation away from artifacts while maintaining the intended content, and encourages more diverse, yet plausible, outputs. Unlike standard Classifier-Free Guidance (CFG), which relies on unconditional predictions and produces noise at high guidance scales, DOG introduces a more stable, disentangled direction in the latent space. To control the strength of the guidance across the denoising process, we apply a triangular schedule: weak at the start and end of denoising, when the process is most sensitive, and strongest in the middle steps. Experimental results on the state-of-the-art DiffusionPen and One-DM demonstrate that DOG improves both content clarity and style variability, even for out-of-vocabulary words and challenging writing styles.

Xuanhao Zhang, Chang Li

Diffusion models have achieved remarkable progress in image and audio generation, largely due to Classifier-Free Guidance. However, the choice of guidance scale remains underexplored: a fixed scale often fails to generalize across prompts of varying complexity, leading to oversaturation or weak alignment. We address this gap by introducing a prompt-aware framework that predicts scale-dependent quality and selects the optimal guidance at inference. Specifically, we construct a large synthetic dataset by generating samples under multiple scales and scoring them with reliable evaluation metrics. A lightweight predictor, conditioned on semantic embeddings and linguistic complexity, estimates multi-metric quality curves and determines the best scale via a utility function with regularization. Experiments on MSCOCO~2014 and AudioCaps show consistent improvements over vanilla CFG, enhancing fidelity, alignment, and perceptual preference. This work demonstrates that prompt-aware scale selection provides an effective, training-free enhancement for pretrained diffusion backbones.

Zhenyu Wei, Zhijiang Shao, Lorenz T. Biegler

Multiple parafoil landing is an enabling technology for massive supply delivery missions. However, it is still an open question to design a collision-free, computation-efficient guidance and control method for unpowered parafoils. To address this issue, this paper proposes a coordinated guidance and control method for multiple parafoil landing. First, the multiple parafoil landing process is formulated as a trajectory optimization problem. Then, the landing point allocation algorithm is designed to assign the landing point to each parafoil. In order to guarantee flight safety, the collision-free trajectory replanning algorithm is designed. On this basis, the nonlinear model predictive control algorithm is adapted to leverage the nonlinear dynamics model for trajectory tracking. Finally, the parafoil kinematic model is utilized to reduce the computational burden of trajectory calculation, and kinematic model is updated by the moving horizon correction algorithm to improve the trajectory accuracy. Simulation results demonstrate the effectiveness and computational efficiency of the proposed coordinated guidance and control method for the multiple parafoil landing.

زینب هدایتی نهند, سید اسماعیل هاشمی, عبدالزهرا نعامی

هدف: این پژوهش با هدف بررسی پیش‌بینی رفتار کاری غیرمولد توسط صفات مثلث تاریک شخصیت و نقش میانجی‌گری رویدادهای خرد روزانه انجام شده است تا به درک بهتری از عوامل مؤثر بر بهره‌وری سازمانی برسد و راهکارهای عملی برای بهبود محیط کار و کاهش رفتارهای مخرب ارائه دهد.روش: جامعه آماری این مطالعه شامل کلیه کارکنان بخش خصوصی و دولتی شهر مشهد در نیمه اول سال 1402 و گروه نمونه شامل 250 نفر از این افراد بود که به روش نمونه‌گیری در دسترس و بر اساس رضایت به همکاری انتخاب شدند. استفاده از روش نمونه‌گیری در دسترس ممکن است قابلیت تعمیم یافته‌ها به کل جمعیت هدف را محدود کند. داده‌ها با استفاده از پرسشنامه‌های ابعاد تاریک شخصیت جنیسون و ویستر (2010)، رفتارهای غیرمولد گل پرور و خاکسار (1387) و رفتارهای خرد روزانه جونکا سیلوا و همکاران (2020) جمع‌آوری و با استفاده از نرم‌افزارهای SPSS-28 و Smart-PLS تجزیه ‌و تحلیل شدند.یافته‌ها: نتایج نشان داد که صفات مثلث تاریک شخصیت اثر مستقیم و معناداری بر رفتارهای کاری غیرمولد دارد (β=0.45). همچنین، رویدادهای خرد روزانه نقش میانجی معناداری بین صفات مثلث تاریک شخصیت و رفتارهای کاری غیرمولد ایفا می‌کند (β=0.32). مدل پژوهش از برازش مناسبی برخوردار بود (NFI=0.910, SRMR=0.045).نتیجه‌گیری: یافته‌ها نشان می‌دهد که توجه به ویژگی‌های شخصیتی منفی و رویدادهای روزمره می‌تواند در پیشگیری از رفتارهای کاری غیرمولد و بهبود بهره‌وری سازمانی مؤثر باشد. بنابراین، پیشنهاد می‌شود سازمان‌ها برنامه‌های آموزشی برای مدیریت صفات شخصیتی منفی و کاهش استرس ناشی از رویدادهای روزمره طراحی کنند تا بهره‌وری و محیط کار بهبود یابد.

قاسم آزادی احمدآبادی

هدف: پژوهش حاضر تلاش کرد همراستایی بروندادهای علمی حوزه زیست‌فناوری ‌ایران با اهداف توسعه پایدار سازمان ملل متحد را بررسی نماید.روش: پژوهش حاضر از نظر هدف، کاربردی بوده و با دید علم‌سنجی انجام شده که از روش‌های کتابخانه‌ای به‌منظور تدوین مبانی نظری و از تحلیل کتاب‌سنجی گذشته‌نگر نیز برای گردآوری داده‌ها استفاده کرده است. جامعه آماری، تمامی تولیدات علمی نمایه شده پژوهشگران ایرانی در پایگاه اسکوپوس در حوزه «زیست‌فناوری» از 2012 تا 2021 میلادی است. در راستای مطالعه تحلیل بروندادهای علمی حوزه زیست‌فناوری ‌ایران در راستای اهداف توسعه پایدار سازمان ملل متحد، از پایگاه سایول استفاده شده است.نتایج: «سلامت و رفاه مناسب» بالاترین حجم و درصد انتشارات این حوزه را به خود اختصاص داد. به این ترتیب، نقطه قوت ایران به لحاظ کمیت فعالیت‌های علمی در زمینه زیست‌فناوری در راستای دستیابی به اهداف مورد نظر است. «اقدام اقلیمی» و «صلح، عدالت و نهادهای قوی» بالاترین میزان تأثیر استنادی وزن‌دار حوزه‌ای را داشت و حجم استناد دریافتی در هدف «سلامت و رفاه مناسب» بیش از سایر حوزه‌ها بود. بنابراین، این سه مقوله، نقطه قوت کشور از نظر کیفیت فعالیت‌های علمی در زمینه زیست‌فناوری و مطابق با اهداف توسعه پایدار است. «کیفیت آموزش» تأثیر استنادی وزن‌دار حوزه‌ای پایین‌تری نسبت به سایر حوزه‌ها داشت. «عدم‌فقر» کمترین حجم برونداد علمی و نیز استناد دریافتی را در مقایسه با سایر اهداف توسعه پایدار این حوزه به خود اختصاص داده بود.

N. V. Garashkina, A. A. Druzhinina

Importance. Professional orientation in pedagogical fields is an effective means for the education system development. The diagnosis is an essential planning and organization component of targeted professional orientation for high school pupils. The issue of conscious selection of a teaching career is linked to the axiological aspect of the orientation for adolescents and young people, as well as to the implementation of the individualization and differentiation principles in education. A comprehensive set of diagnostic tools for targeted career guidance for high school students under modern conditions, considering the pedagogical field and its axiological significance, has not yet been defined. There is a growing need for educational initiatives and scientific support for the development of methods range for targeted career guidance, including diagnostics, to encourage students to pursue careers in the field of education. The aim of the research is to provide a theoretical basis and present the results of developing diagnostic tools for organizing differentiated professional orientation for high school students pursuing pedagogical studies. Based on systematic, predictive, individualized, and value-based approaches to professional guidance, these diagnostic tools could be useful for selecting students for teaching positions, implementing a system of personalized career counseling in a contemporary educational setting, and for admission officers involved in planning and executing career guidance programs in the field of teacher training.Research Methods. Analysis of scientific literature and the current state of affairs in the vocational guidance and career counseling field, as well as a review of existing tools and parameters for this purpose. The research follows a logical path that begins with the career guidance organization for schoolchildren and progresses to the diagnostic instruments development (such as sample interview questions) for use in differentiated career counseling for those interested in teachingrelated fields.Results and Discussion. The “professional orientation” concept is considered both in Russia and abroad, and the specific implementation examples of career guidance activities in education are presented. An important area of professional orientation is value orientation towards pedagogical specialties. Career guidance diagnostics includes an analysis of values, value attitude to the profession, interests, abilities, and orientation of students necessary to predict the development of personality qualities in the chosen field of training in pedagogical specialties, and the organization of differentiated career guidance. In the research course, the author’s diagnostic tools are developed – the diagnostic matrix “Career guidance interview for a future teacher”.Conclusion. The problem of differentiated professional orientation towards pedagogical specialties among adolescents and young people is urgent and requires special attention from the state, society and the educational system. The professional orientation of high school students to pedagogical specialties includes the diagnosis of values, value attitude to the chosen profession, individual interests and abilities, improves educational results and helps to see the prospects and opportunities of everyone in the future professional field – the field of education. In addition, it reduces the risk for a person to choose an unsuitable profession and helps to successfully integrate into the professional teaching community in the future.

Tom Bordin, Thomas Maugey

This study addresses the challenge of, without training or fine-tuning, controlling the global color aspect of images generated with a diffusion model. We rewrite the guidance equations to ensure that the outputs are closer to a known color map, and this without hindering the quality of the generation. Our method leads to new guidance equations. We show in the color guidance context that, the scaling of the guidance should not decrease but remains high throughout the diffusion process. In a second contribution, our guidance is applied in a compression framework, we combine both semantic and general color information on the image to decode the images at low cost. We show that our method is effective at improving fidelity and realism of compressed images at extremely low bit rates, when compared to other classical or more semantic oriented approaches.

Saurabh Kumar, Shashi Ranjan Kumar, Abhinav Sinha

This paper investigates a pursuit-evasion problem involving three agents: a pursuer, an evader, and a defender. Cooperative guidance laws are developed for the evader-defender team that guarantee interception of the pursuer by the defender before it reaches the vicinity of the evader. Unlike heuristic methods, optimal control, differential game formulation, and recently proposed time-constrained guidance techniques, a geometry-based solution is proposed to safeguard the evader from the pursuer's incoming threat. The proposed strategy is computationally efficient and expected to be scalable as the number of agents increases. Another notable feature of the proposed strategy is that the evader-defender team does not require knowledge of the pursuer's strategy, yet the pursuer's interception is guaranteed for arbitrary initial engagement geometries. It is further shown that the relevant error variables for the evader-defender team (or individual) converge to zero at a prespecified finite time that can be exactly prescribed prior to the three-body engagement. Finally, the effectiveness of the proposed cooperative pursuit-evasion strategy is demonstrated through simulations across diverse engagement scenarios.

A. Muratova

The vocational guidance system, which received its active development after the revolution, was banned in the second half of the 30s. The ban was initiated by the resolution of the Central Committee of the CPSU (b) “On pedological perversions in the system of People’s Commissars”. The vulnerability of the professional orientation of schoolchildren during this period is due to the tightening of the totalitarian regime, which does not allow the existence of freedom of choice, which is the basis of the phenomenon under study. The intensive development of industry in the 50s, along with the consequences of the Great Patriotic War, led to a shortage of qualified labor, insufficient training of school graduates for practical activities. This has determined that the training of qualified labor is becoming one of the most important functions of the general education system assigned to it by the state. Referring to the contents of the XXI, XXII, XXIII congresses of the Communist Party of the Soviet Union, the decisions of which were binding, allowed us to conclude that a gradual change in attitude to the problem of professional orientation on the part of the leading government body: from an unambiguous position of satisfaction of industry and agriculture in personnel, regardless of the desires of school graduates, to the acceptance of their subjectivity in choosing a profession. The construction of a vocational guidance system in the 60s received a wide experimental research base and scientific basis. The results of the activities of various organizations engaged in professional orientation during the period under review are reflected in publications widely published in various regions of the USSR. In 1968, the All-Union Pedagogical Readings were organized, the purpose of which is to generalize and disseminate advanced pedagogical experience. The compulsory direction of the readings is the professional orientation of schoolchildren. The results of the readings are subsequently published in collections of materials, as well as in recommendations for the development and improvement of labor polytechnic education and vocational guidance of students. In 1969, the First All-Union Meeting on career guidance and career guidance at school was held, which demonstrated the scientific approach formed at this stage to building a system of vocational guidance in the USSR. The described period of development of the system of vocational guidance for schoolchildren in the Soviet period (1960-1969) is characterized by scientific validity, wide coverage of educational organizations, regardless of type and location, expansion of the methodology of vocational counseling and professional selection. The most important social institution of vocational guidance is becoming a school, whose career guidance activities are regulated at the level of the Ministry of Education of the USSR.

Alper Şakalar, Sevda Gürel

This study examines the factors that affect the career development of vocal music students, as well as their expectations, experiences and challenges. The aim of the study is to reveal the factors that influence the students’ choice of vocal music as a major, their career planning and development processes, their personal and professional goals, their university experiences and how they cope with the difficulties in vocational education. The study group consists of 12 students who receive vocal music education in different regions, degrees, universities and faculties, and this way, the general patterns related to the subject are determined. The study is conducted with a qualitative method and a case study design. Data obtained from unstructured observation, unstructured interview, document analysis and semi-structured interviews are handled from the perspectives of Super’s career development theory and Bandura’s social cognitive theory. The analyses are carried out with Maxqda qualitative data analysis software. As a result of the analysis, themes are created under the headings of career planning, career development and goals, personal goals, university experience and coping with professional difficulties. The results of the study are expected to contribute to the determination of students’ career expectations, the organization of teaching strategies and the foresights to be created for the development of guidance and counseling activities.

Kurniaty Atmia, Purnamawati, Ruslan

The important role of career guidance for cadets in preparing themselves to enter the world of work. The purpose of this study was to develop a career guidance service model at Makassar Aviation Polytechnic. This research uses the research and development (R & D) method with a quantitative descriptive approach. The research location was at Makassar Aviation Polytechnic, Campus II Salodong. The type of data used in this research is a combination of primary data and secondary data. A well-planned Counselling Programme will increase productivity and performance ratings, develop careers increase diversity. Career guidance to guide and direct cadets who are in the final semester is an absolute obligation of the Makassar Aviation Polytechnic to strengthen and support the role of career development institutions in preparing and planning career preparation for cadets. Career guidance is very influential on the maturity of career plans that determine future success. The results of research on the implementation of career guidance activities at Makassar Aviation Polytechnic are carried out in accordance with the desired targets, goals and objectives. It is hoped that this model can continue to be developed and applied in the university environment, especially on vocational campuses, to assist students in preparing for their careers in the future.