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This dataset explores the relationship between students' educational habits and their early career outcomes. It includes variables such as GPA, study hours, SAT scores, certification completion, commute times, sleep habits, and job offers received. Additionally, it provides insights into the influence of soft skills, support methods (e-learning, tutoring), and major selection on salary and career satisfaction.
This dataset is ideal for analyzing patterns in academic performance and how they translate to career success. It can be used for data visualization projects, regression analysis, and educational policy research.
Columns Include:
Major
GPA
SAT Score
Study Hours
Hours of Sleep
Commute Time
Certifications Completed
Soft Skills Rating
Support Method Used (e-learning, tutoring, both, none)
Career Satisfaction
Number of Job Offers
Starting Salary
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According to our latest research, the global Career Exploration Platforms market size was valued at USD 2.14 billion in 2024 and is expected to reach USD 6.37 billion by 2033, growing at a robust CAGR of 12.7% during the forecast period. This growth is propelled by the increasing demand for personalized career guidance, rapid digital transformation across educational and corporate sectors, and the proliferation of AI-driven skill assessment tools. As organizations and institutions worldwide seek innovative solutions to streamline career planning and workforce development, Career Exploration Platforms have emerged as a critical component in bridging the gap between education and employment.
One of the primary factors fueling the growth of the Career Exploration Platforms market is the rising need for tailored career guidance among students, graduates, and working professionals. In an era characterized by dynamic job markets and evolving skill requirements, individuals are increasingly seeking platforms that offer personalized recommendations, real-time labor market insights, and targeted skill assessments. These platforms leverage advanced algorithms and data analytics to match users with suitable career paths, educational programs, and job opportunities, thereby enhancing employability and career satisfaction. The integration of AI and machine learning technologies further amplifies the effectiveness of these platforms, enabling continuous improvement in guidance accuracy and user engagement. As a result, both individuals and organizations are investing heavily in career exploration solutions to foster lifelong learning and career adaptability.
The rapid adoption of digital learning and remote work models has also significantly contributed to the expansion of the Career Exploration Platforms market. Educational institutions, from K-12 to higher education, are increasingly incorporating these platforms into their curricula to equip students with the skills and knowledge required for future careers. Simultaneously, enterprises and government agencies are leveraging these platforms to upskill their workforce, enhance talent acquisition strategies, and reduce skill gaps. The scalability and flexibility of cloud-based deployment models have further accelerated market penetration, making career exploration tools accessible to a broader audience across geographies. Moreover, the growing emphasis on diversity, equity, and inclusion in education and employment is driving the adoption of platforms that offer unbiased, data-driven career guidance to underrepresented groups.
Another significant growth driver is the increasing collaboration between platform providers, educational institutions, and employers. Strategic partnerships are enabling the development of holistic career ecosystems that integrate academic advising, experiential learning, and job placement services. These collaborations facilitate seamless transitions from education to employment, enhance student retention and graduation rates, and improve workforce productivity. Additionally, the continuous evolution of labor markets, driven by technological advancements and automation, is creating new opportunities for Career Exploration Platforms to provide up-to-date information on emerging careers, required competencies, and industry trends. This dynamic environment is expected to sustain high growth rates in the market over the forecast period.
The integration of Career Services Management Software is becoming increasingly vital as educational institutions and enterprises strive to enhance their career exploration offerings. This software streamlines the management of career services by automating processes such as appointment scheduling, event management, and employer engagement. By leveraging such tools, institutions can provide more efficient and personalized support to students and job seekers, ensuring they receive timely guidance and resources. Moreover, the data analytics capabilities of these software solutions enable career centers to track student outcomes, measure service effectiveness, and continuously improve their offerings. As the demand for comprehensive career services grows, the adoption of Career Services Management Software is expected to rise, further driving the evolution of career exploration platforms.
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The data provided in this file contains the data package for the PhD research project: "Career Mobility of non-European Fulltime Master’s Graduates from European Higher Education Institutions." The project focuses on 4 different topics (see chapters 2-5 of the dissertation, including mobility decisions, career-related learning, career management, and career pathways) and is based on the analysis of qualitative in-depth interviews with 28 graduates from European research universities in Germany, Italy and the United Kingdom.
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This dataset contains anonymized survey responses from 140 early-career professionals examining preferences for game-based and AI-supported learning formats in workplace training contexts. Participants rated the importance of professional competencies, instructional formats, motivational incentives, and game mechanics, and indicated preferences for session duration, frequency, and device access. Multi-select responses are encoded as binary indicator columns (0/1); Likert items are recorded on a 1–5 scale. The data support descriptive analysis and cross-tabulation by gender, organizational role, and career stage, and are suitable for secondary use in research on adult learning, instructional design, and digital professional development.
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This dataset captures detailed Multiple Intelligence (MI) scores across key domains—Linguistic, Logical-Mathematical, Spatial, Interpersonal, Intrapersonal, Musical, Bodily-Kinesthetic, and Naturalist—for a diverse group of students. Each student record is also associated with a corresponding career or job profession, enabling researchers and machine learning practitioners to analyze relationships between intelligence patterns and career pathways. The dataset is designed to support academic research, predictive modeling, clustering, student profiling, and career recommendation systems. It can serve as a foundational asset in building AI-powered career guidance platforms, educational analytics dashboards, psychometric evaluation engines, and decision-support tools.
Key Features:- ✔️ Multiple Intelligence scores (8 dimensions per student) ✔️ Mapped job/career roles for each student ✔️ Performance indicators (P1–P8) ✔️ Ideal for supervised and unsupervised learning ✔️ Supports classification, clustering, recommendation systems, and dashboarding
Potential Use Cases:- Career prediction models using MI scores Student clustering based on intelligence patterns Psychometric analysis for educational research Dashboard development for counselors or institutions ML explainability studies linking traits to job roles Benchmark dataset for academic assignments or hackathons
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Discover the booming online vocational skills training market! Explore its $50 billion valuation, 15% CAGR growth, and key players like Udemy & Coursera. Learn about regional trends, market segmentation, and future projections in this comprehensive market analysis.
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According to our latest research, the global Career and Technical Education (CTE) market size reached USD 63.2 billion in 2024, with a robust year-on-year growth driven by increasing demand for skilled labor and workforce readiness. The market is forecasted to expand at a CAGR of 8.7% from 2025 to 2033, resulting in a projected market value of USD 133.7 billion by 2033. This growth trajectory is propelled by rapid technological advancements, the integration of digital learning solutions, and a global emphasis on employability and industry-aligned education.
One of the primary growth factors for the Career and Technical Education market is the escalating need for workforce development in response to shifting industry requirements. As automation and digital transformation continue to disrupt traditional job roles, there is an increasing emphasis on upskilling and reskilling workers to align with new industry standards. Governments and private enterprises worldwide are investing significantly in CTE programs to bridge the skills gap, particularly in sectors such as healthcare, IT, manufacturing, and finance. The integration of emerging technologies like artificial intelligence, robotics, and cloud computing into curricula is further enhancing the relevance and appeal of CTE, making it a pivotal component in national education and economic strategies.
Another critical driver of market expansion is the proliferation of online and hybrid learning modes, which have revolutionized access to Career and Technical Education. The COVID-19 pandemic catalyzed the adoption of digital platforms, enabling institutions to reach a broader audience, including working professionals and underserved communities. This shift has led to the development of flexible, modular, and competency-based learning pathways tailored to diverse learner needs. Edtech companies and traditional educational institutions are collaborating to deliver interactive, industry-aligned content through virtual labs, simulations, and real-time assessments. As a result, the CTE market is experiencing increased enrollment and higher completion rates, reinforcing its role in lifelong learning and career mobility.
The role of EdTech in Career and Technical Education cannot be overstated. As digital platforms and tools become more sophisticated, they are transforming the way CTE programs are delivered and consumed. EdTech solutions are enabling personalized learning experiences, where students can progress at their own pace and access resources tailored to their individual learning styles. Through the use of virtual labs, simulations, and interactive content, EdTech is making education more engaging and effective, particularly for technical and vocational subjects that benefit from hands-on practice. This technological integration is crucial for preparing students for the digital economy, where adaptability and tech-savviness are key competencies.
Furthermore, strong collaboration between industry stakeholders, educational institutions, and government bodies is driving innovation and standardization within the Career and Technical Education market. Public-private partnerships are fostering the creation of specialized curricula, apprenticeships, and certification programs that align with current and future labor market demands. These initiatives are not only enhancing the employability of graduates but also ensuring that CTE programs remain agile and responsive to technological and economic shifts. Additionally, policy reforms and increased funding for vocational and technical education are accelerating the adoption of CTE across both developed and emerging economies.
Regionally, North America continues to dominate the global CTE market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, benefits from robust government support, advanced infrastructure, and a strong culture of industry-education collaboration. Meanwhile, Asia Pacific is witnessing the fastest growth, fueled by large student populations, rapid industrialization, and increasing investments in education technology. Europe maintains a significant presence due to its well-established vocational training systems and strategic focus on workforce modernization. Other regions, su
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This survey was designed to collect data on postsecondary institutions offering vocational education programs. These data are used to develop a directory that parallels existing U.S. Office of Education directories of colleges and universities, both public and private. The data collected give comprehensive information on career training opportunities and a complete universe of institutions from which samples may be drawn. Information on individual institutions includes identification and location of institutions, size of vocational enrollments, vocational education programs offered, specific accreditation data, and other general information.
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Explore the dynamic Community College market, valued at $220 billion in 2025, with an 8.5% CAGR. Discover key drivers, trends, restraints, and regional insights for accessible higher education and workforce development.
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Global Career Training Market size was valued at USD 8.83 Billion in 2024 and is projected to reach USD 18.52 Billion by 2032 growing at a CAGR of 9.6% during the forecast period 2026-2032.● Rapid Technological Advancements: The acceleration of digital transformation across industries is being witnessed, necessitating continuous skill upgradation by the workforce. New technologies including artificial intelligence, machine learning, and automation are being introduced rapidly.● Governmental Support and Initiatives: Policies and funding are being directed toward workforce development by governments worldwide in response to changing economic needs. Tax incentives for corporate training programs are being offered in many regions, while direct subsidies for vocational education.
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TwitterBackground: The main mission of NIH-sponsored institutional training programs such as the T32 is to provide strong research and career training for early career scientists, while preparing those individuals to become leaders working to meet the health-related research needs of the nation. One of the main avenues to pursue health-related research is becoming research faculty at an academic institution. It is therefore important to know whether these programs are succeeding in this mission, or, if barriers exist that prevent trainees from pursuing these careers.Methods: Our institution currently trains ~ 2400 post-doctoral scholars per year, approximately 5% of whom are enrolled in one of our 33 T32 programs. In this study, we 1) compare the professional outcomes of T32 trainees with non-T32 trainees at our institution, and 2) survey past and current T32 trainees in a subset of high-performing cardiovascular programs about the barriers and enablers they experienced to pursuing research-or..., , , # T32 Career Stages / Stanford School of Medicine
https://doi.org/10.5061/dryad.70rxwdc0t
These datasets describes five data-files associated with our publication.
OPA Data (OPA_Data.csv)
Each row represents information for unique former postdoctoral trainees at Stanford University. Note that this data does not represent all former postdocs, but a subset who participated in health-related research. Columns provide information about whether the traine was confirmed to have participated in a T32 program "T32 Postdocs" or had no confirmed T32 participation "Non-T32 Postdocs", gender, URM status, type of current work, faculty status, and a combined field for traines who became primarily research academic faculty.
Variables:
Postdoc_ID: De-identified postdoc ID number
T32 Status:Â Non-T32 Postdocs, T32 Postdocs
Gender:Â Male, Female, Undefined
URM Check bio: URM, ..., Our human subject data is de-identified and does not include any personally identifiable information.
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According to our latest research, the global higher education market size reached USD 104.6 billion in 2025, reflecting robust momentum across key regions. The sector is experiencing a notable expansion, with a compound annual growth rate (CAGR) of 10.7% projected from 2026 to 2034. By the end of 2034, the market size is forecasted to reach USD 265.3 billion, underscoring the substantial investments and innovation reshaping higher education worldwide. This impressive growth trajectory is primarily fueled by the rapid adoption of digital learning platforms, increased government spending on education infrastructure, and the rising demand for accessible and flexible learning solutions across both developed and emerging economies.
One of the primary growth factors driving the higher education market is the accelerated digital transformation within academic institutions. The proliferation of smart devices, high-speed internet connectivity, and advanced educational technologies has enabled universities and colleges to deliver content more efficiently and interactively. Institutions are increasingly integrating artificial intelligence, machine learning, and data analytics to personalize learning experiences, track student progress in real time, and enhance administrative efficiency. These technological advancements are not only improving student engagement but also facilitating broader access to quality education, especially in remote and underserved regions. The growing emphasis on lifelong learning and upskilling is further boosting the demand for flexible, on-demand educational content, thereby propelling market growth. The expanding ecosystem of digital course delivery in higher education is a central pillar of this transformation.
Another significant factor contributing to the expansion of the higher education market is the evolving landscape of student demographics and expectations. Modern learners, including working professionals and international students, are seeking programs that offer flexibility, affordability, and career relevance. This shift has led to the rise of online and blended learning models, which allow students to balance their academic pursuits with personal and professional commitments. Additionally, universities are collaborating with industry partners to offer specialized courses and certifications aligned with labor market needs, thereby enhancing employability and workforce readiness. The increasing global mobility of students, coupled with the recognition of international qualifications, is also driving demand for diverse and inclusive educational offerings.
Government initiatives and policy reforms play a crucial role in shaping the higher education market's growth trajectory. Many countries are prioritizing investments in digital infrastructure, research and development, and faculty training to strengthen their higher education systems. Public-private partnerships are emerging as a key strategy to bridge funding gaps and promote innovation in curriculum design, assessment methods, and student support services. Furthermore, the expansion of scholarship programs, student loan schemes, and cross-border education agreements is making higher education more accessible to a wider population. These efforts are particularly evident in emerging economies, where governments are striving to enhance the quality and global competitiveness of their higher education institutions.
Higher Education Assessment is becoming an integral part of the evolving educational landscape, as institutions strive to ensure quality and accountability in their offerings. With the rise of digital learning platforms and diverse educational models, there is an increasing need for robust assessment frameworks that can accurately measure student learning outcomes and institutional effectiveness. These assessments are not only crucial for maintaining academic standards but also fo
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The Lifelong Education Market was valued at 137.8(USD Billion) in 2025 and is projected to grow to 215.7(USD Billion) by 2035, at a CAGR of 4.6%. Lifelong Education Market Overview: Lifelong Education Market Overview: The Lifelong Education Market Size was valued at 131.7 USD Billion in 2024. The Lifelong Education Market is expected to grow from 137.8 USD Billion in 2025 to 215.7 USD Billion by 2035. The Lifelong Education Market CAGR (growth rate) is expected to be around 4.6% during the forecast period (2025 - 2035). Key Lifelong Education Market Trends Highlighted The Global Lifelong Education Market is witnessing significant trends driven by various factors. The increasing recognition of the importance of continuous learning is one of the key market drivers. Governments across the globe are implementing policies to promote lifelong learning as a strategy to enhance workforce skills and adaptability in a rapidly changing job market. This is evident in initiatives that support adult education and Vocational Training , underscoring the priority placed on continuous personal and professional development. As technology evolves, the integration of Digital Platform for education has become a prominent trend.Online learning resources and virtual training programs are gaining traction, allowing learners to access education conveniently from anywhere in the world. This shift not only caters to the demand for flexible learning options but also accommodates diverse learning styles, making education more accessible to a broader audience. Furthermore, the rise of micro-credentialing and stackable learning pathways is creating opportunities for individuals to gain specialized skills that enhance employment prospects. Opportunities in the Global Lifelong Education Market are emerging as businesses and educational institutions increasingly collaborate to provide tailored training solutions.This synergy can help equip employees with the specific skills needed in their respective industries, thereby fostering a more competent and skilled workforce. Additionally, as the global economy continues to transition towards knowledge-based sectors, there is a growing demand for upskilling and reskilling initiatives, further bolstering market growth. Overall, the combination of government support, technological advancements, and evolving workforce needs contribute to a dynamic landscape for lifelong education on a global scale. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Lifelong Education Market Segment Insights: Lifelong Education Market Regional Insights The Regional segment of the Global Lifelong Education Market exhibits diverse growth across different areas, with North America holding a majority stake in market valuation. In 2024, North America was valued at 55 USD Billion and is projected to reach 87 USD Billion by 2035. This dominancy stems from increasing demand for continuous learning solutions driven by technological advancements and workforce development initiatives in the region. Europe and APAC also showcase a significant presence in the market, with steady expansion attributed to rising awareness around the importance of lifelong learning and growing digital platforms for education.South America is experiencing moderate growth, fueled by initiatives to enhance educational access, while the MEA region shows gradual increases, supported by a focus on education reform and capacity building. Overall, the Global Lifelong Education Market segmentation indicates strong opportunities for innovation and collaboration as regional dynamics evolve. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : The Lifelong Education Market in North America is driven by increased adoption of AIoT technologies enhancing personalized learning experiences. The healthcare and automotive sectors see significant investment, supported by policies like the Workforce Innovation and Opportunity Act, aiming to expand access to education and training for a skilled workforce. • Europe : In Europe, smart manufacturing and urban surveillanc
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Simulation Learning In Higher Education Market size was valued at USD 7.11 Billion in 2024 and is projected to reach USD 25.17 USD Billion by 2031, growing at a CAGR of 17.12% from 2024 to 2031.
Global Simulation Learning In Higher Education Market Drivers
Pedagogical Innovation: Growing recognition of the effectiveness of simulation-based learning methods in higher education for enhancing student engagement, critical thinking, problem-solving skills, and real-world application of knowledge drives the adoption of simulation technologies.
Hands-on Learning Experience: Simulation learning offers students hands-on experience in realistic environments, allowing them to practice skills, experiment with scenarios, and make mistakes in a safe and controlled setting, leading to deeper learning and skill acquisition.
Demand for Healthcare Simulation: In healthcare education, simulation technologies, such as virtual patients, medical mannequins, and simulated clinical environments, provide immersive learning experiences for medical, nursing, and allied health students to develop clinical competencies and patient care skills.
STEM Education Enhancement: Simulation technologies are increasingly used in science, technology, engineering, and mathematics (STEM) education to facilitate interactive learning experiences, laboratory experiments, and engineering simulations, promoting conceptual understanding and problem-solving abilities.
Professional Skills Development: Simulation learning platforms are utilized to develop professional skills, such as communication, teamwork, leadership, and decision-making, preparing students for success in their future careers across diverse industries and sectors.
Globalization and Online Learning: The globalization of higher education and the growth of online learning platforms drive the demand for simulation-based educational tools and virtual simulations that offer flexible, scalable, and accessible learning experiences for students worldwide.
Industry-Academia Collaboration: Collaboration between academia and industry facilitates the integration of simulation technologies into curricula to align educational programs with industry needs, workforce requirements, and emerging trends, enhancing students' employability and career readiness.
Research and Innovation: Simulation learning fosters research and innovation in higher education by providing researchers with tools and platforms for experimental studies, data analysis, and modeling simulations across various disciplines and fields of study.
Assessment and Evaluation: Simulation-based assessments and performance evaluations enable educators to measure student learning outcomes, competency levels, and skill proficiency more accurately, leading to continuous improvement in teaching methods and curriculum design.
Government Initiatives and Funding: Government initiatives, grants, and funding programs support the adoption of simulation learning technologies in higher education institutions to promote innovation, educational excellence, and workforce development initiatives.
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TwitterOpportunity-focused, high-growth entrepreneurship and science-led innovation are crucial for continued economic growth and productivity. Working in these fields offers the opportunity for rewarding and high-paying careers. However, the majority of youth in developing countries do not consider either as job options, affecting their choices of what to study. Youth may not select these educational and career paths due to lack of knowledge, lack of appropriate skills, and lack of role models. We provide a scalable approach to overcoming these constraints through an online education course for secondary school students that covers entrepreneurial soft skills, scientific methods, and interviews with role models.
The study comprises three experimental trials provided Before and during COVID-19 pandemic in different regions of Ecuador. This catalog entry includes data from Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021. The data from the other two experiments are also available in the catalog.
Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021
A randomized experiment conducted in high schools in Ecuador as rapid fire response to the hurdles of COVID-19 for the Coastal Educational regimes schools (Régimen Costa); Students finish the program in December 2020). The intervention is an online education course that covers entrepreneurial soft skills, scientific methods, and interviews with role models. This course is taken by students at home during the COVID-19 pandemic under teachers’ supervision. We work mostly with 14-22-year-old students (16,441 students) in 598 schools assigned to the program. We randomly assign schools either to treatment (and receiving the entrepreneurship courses online), or placebo-control (receiving a placebo treatment of online courses from standard curricula) groups. We also cross-randomize the role models and evaluate set of nimble interventions to increase take-up. The details of intervention can be found in AEA registry: Asanov, Igor and David McKenzie. 2021. Scaling up virtual learning of online learning in high schools. AEA RCT Registry. March 23 Merged datasets from the baseline, midline, endline survey for each experiment administrated through online learning platform in school during normal educational hours before COVID-19 pandemic or at student’s home during COVID-19 pandemic are documented here. The detailed information about the questioner and each item can be found in the codebooks (Baseline 1, Baseline 2, Midline, Endline 1, Endline 2) for corresponding experiments.
Experiment 3: Coastal Educational Regime (Régimen Costa) 2020/2021
We cover students of last year of education in School K12 of technical specialization (Bachillerato técnico) that study in Coastal Educational Regime (Régimen Costa) 2020/2021, suppose to finish their education in school in March 2021 and we capable to register on the online platform. The schools in highlands educational regime covered in this experiment scatter over the next educational zones 1, 2, 3, 4, 5, 6, 7, 8, 9.
Taken together in the experiment 2,3 we offered the program across all Ecuador to schools that have technical specialization track.
Student
Sample survey data [ssd]
All students in selected schools who were present in classes filled out the baseline questionnaire
Internet [int]
Questionnaires We execute three main sets of questioners. A. Internet (Online Based survey)
The survey consists of a multi-topic questionnaire administered to the students through online learning platform in school during normal educational hours before COVID-19 pandemic or at home during the COVID-19 pandemic. We collect next information:
1. Subject specific knowledge tests. Spanish, English, Statistics, Personal Initiative (only endline), Negotiations (only endline).
2. Career intentions, preferences, beliefs, expectations, and attitudes. STEM and entrepreneurial intentions, preferences, beliefs, expectations, and attitudes.
3. Psychological characteristics. Personal Initiative, Negotiations, General Cognitions (General Self-Efficacy, Youth Self-Efficacy, Perceived Subsidiary Self-Efficacy Scale, Self-Regulatory Focus, Short Grit Scale), Entrepreneurial Cognitions (Business Self-Efficacy, Identifying Opportunities, Business Attitudes, Social Entrepreneurship Standards).
4. Behavior in (incentivized) games: Other-regarding preferences (dictator game), tendency to cooperate (Prisoners Dilemma), Perseverance (triangle game), preference for honesty, creativity (unscramble game).
5. Other background information. Socioeconomic level, language spoken, risk and time preferences, trust level, parents background, big-five personality traits of student, cognitive abilities.
Background information (5) collected only at the baseline.
B. First follow-up Phone-based Survey Zone 2, Summer (Phone Based).
The survey replicates by phone shorter version of the internet-based survey above. We collect next information:
1. Subject specific knowledge tests.
2. Career intentions, preferences, beliefs, expectations, and attitudes.
3. Psychological characteristics
C. (Second) Follow-up Phone-Based Survey, Winter, Zone 2, Highlands Educational Regime.
We execute multi-topic questionnaire by phone to capture the first life-outcomes of students who finished the school. We collect next information:
Data Editing A. Internet, Online-based surveys. We extracted the raw data generated on online platform from each experiment and prepared it for research purposes. We made several pre-processing steps of data: 1. We transform the raw data generated on platform in standard statistical software (R/STATA) readable format. 2. We extracted the answer for each item for each student for each survey (Baseline, Midline, Endline). 3. We cleaned duplicated students and duplicated answers for each item in each survey based on administrative data, performance and information given by students on platform. 4. In case of baseline survey, we standardized items/scales but also kept the raw items.
B. Phone-based surveys. The phone-based surveys are collected with help of advanced CATI kit. It contains all cases (attempts to call) and indication if the survey was effective. The data is cleaned to be ready for analysis. The data is anonymized but contains unique anonymous student id for merging across datasets.
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This dataset provides a comprehensive list of 50+ career options suitable for students from various academic streams (Science, Commerce, and Arts). Each career is associated with general attributes such as risk-taking, social activities, stage participation, and other interests to help guide career prediction models, educational research, and career counseling applications.
This dataset can be used for:
Machine Learning and AI-based career recommendation systems.
Educational research and career counseling.
Student skill analysis and personalized guidance systems.
Data analysis projects related to interests, skills, and career selection.
Columns Included:
CareerOption: Name of the career (e.g., Doctor, Engineer, Entrepreneur, Artist, Data Scientist, etc.)
Optional columns (can be added based on modeling needs):
Risk_Taking: Likelihood of taking risks (scale 1–10)
Social_Activities: Engagement in social or team activities (scale 1–10)
Stage_Participation: Interest or skill in public speaking and stage events (scale 1–10)
**** *******In this dataset some value are not filled (like if any student belong to science field then arts subject values not fill) you fill filled it during Data cleaning my personal advoice fill this empty colum with NA dont drop row or column with missing values*********. **
Dataset Size:
50+ career options listed as rows.
Can be expanded with additional columns for student attributes, marks, and interests for ML model training.
Potential Applications:
AI-based career guidance platforms.
Predictive models for student career paths based on skills, interests, and personality traits.
Research on educational trends and career preferences among students.
License: You can release it under CC0: Public Domain or any open-source license suitable for educational purposes
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TwitterThe Doctoral Impact and Career Tracking Survey, 2013 was conducted as part of a study commissioned by Research Councils UK (RCUK), the Higher Education Funding Council England (HEFCE) and Higher Education Funding Council Wales (HEFCW). The study aimed to understand the career pathways and destinations for doctoral graduates over a seven to nine year period after graduation and to provide evidence of the economic, social and cultural impact of doctoral graduates.
The purpose of the study was to inform investment in doctoral training, policy relating to research training and careers, and researchers themselves and those advising them on career options. The survey was administered online between April and June 2013. Survey respondents had graduated with a doctoral qualification (mainly PhD, but also EngD, DClinPsy etc.) from a UK institution in the academic years 2003-04, 2004-05 or 2005-06. This includes overseas doctoral graduates although most respondents were UK or EU domiciled. The study was intended to build on earlier research exploring destinations of doctoral graduates six months and three and a half years after graduation.
Further information about this survey can be found on the RCUK webpage.
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The Online Education Platform Market was valued at 253.9(USD Billion) in 2025 and is projected to grow to 450.0(USD Billion) by 2035, at a CAGR of 5.9%. Online Education Platform Market Overview: Online Education Platform Market Overview: The Online Education Platform Market Size was valued at 239.7 USD Billion in 2024. The Online Education Platform Market is expected to grow from 253.9 USD Billion in 2025 to 450 USD Billion by 2035. The Online Education Platform Market CAGR (growth rate) is expected to be around 5.9% during the forecast period (2025 - 2035). Key Online Education Platform Market Trends Highlighted The Global Online Education Platform Market is witnessing significant market trends driven by the increasing acceptance of digital learning methods across various demographics. As traditional educational paradigms shift, more learners are opting for online platforms due to their flexibility and convenience. The growing need for upskilling and reskilling in a rapidly changing job landscape has further accelerated this growth. While the COVID-19 pandemic acted as a catalyst for online education, its long-term effects continue to shape the market's expansion. There are ample opportunities to be explored within this market, particularly in developing regions where access to traditional educational institutions may be limited.Initiatives aimed at improving internet connectivity and digital literacy can empower more individuals to participate in online learning. Additionally, partnerships between educational institutions and tech companies can enhance content quality and User Experience , making education more accessible globally. The rise of Mobile Learning presents another avenue for growth, as learners increasingly seek education through their smartphones. Recent trends in the market indicate a surge in the use of Artificial Intelligence and personalized learning experiences tailored to individual needs. Additionally, there is a noticeable increase in diverse course offerings, from academic subjects to Vocational Training , catering to a wide range of interests and career goals.The incorporation of interactive elements like gamification and virtual reality is transforming how students engage with content, making online education more appealing. As global trends continue to evolve, the demand for innovative and effective online education solutions is expected to strengthen, further solidifying the market's trajectory towards a projected size of 450.0 billion USD by 2035. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Online Education Platform Market Segment Insights: Online Education Platform Market Regional Insights The Global Online Education Platform Market exhibits substantial regional differentiation, with North America holding the majority share. In 2024, North America was valued at 85 USD Billion, and this figure is expected to rise to 150 USD Billion by 2035, showcasing significant growth driven by advancements in technology and increasing demand for remote learning solutions. Meanwhile, Europe has experienced steady expansion, supported by a growing emphasis on upskilling and continuous education initiatives among the workforce. The APAC region has also shown remarkable potential, marked by a considerable increase in internet penetration and a youthful population eager to engage in online learning.South America is noticing moderate increases due to improvements in digital infrastructure and accessibility of education resources. Lastly, the MEA region is gradually developing, with rising awareness about online education's benefits leading to a potential upturn in platform adoption. This regional segmentation highlights the varying dynamics influencing the Global Online Education Platform Market, underlining the importance of localized strategies to cater to the diverse needs of each area. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : North America leads in online education adoption driven by a robust tech landscape. The sector benefits from AI integration for personalized learning ex
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According to our latest research, the global professional certification training market size reached USD 25.7 billion in 2024, driven by the accelerating demand for upskilling and reskilling across multiple sectors. The market is expected to grow at a robust CAGR of 8.9% during the forecast period, reaching an estimated USD 54.1 billion by 2033. This growth is underpinned by the increasing need for industry-recognized credentials, digital transformation initiatives, and a rapidly evolving job landscape that compels both individuals and organizations to invest in continuous professional development.
One of the primary growth drivers for the professional certification training market is the persistent and escalating skills gap across industries. As technological advancements rapidly outpace traditional education systems, organizations are compelled to seek professionals equipped with up-to-date, specialized skills. Certification programs, particularly those in technical and management domains, have become essential in validating expertise and enhancing employability. The proliferation of new technologies such as artificial intelligence, cloud computing, and cybersecurity has further intensified the demand for certification training, as businesses strive to remain competitive and compliant in a dynamic environment. Moreover, the growing emphasis on lifelong learning and career agility has encouraged professionals to pursue certifications that bolster their credentials and open new career pathways.
Another significant factor fueling market expansion is the widespread adoption of digital learning platforms. The shift towards online and blended learning modalities has democratized access to certification training, enabling learners from diverse geographies to participate in high-quality programs at their convenience. This digital transformation has not only reduced the cost and logistical barriers associated with traditional classroom-based training but has also allowed for greater customization and scalability. Online certification platforms, microlearning modules, and virtual instructor-led training have become the norm, catering to the diverse learning preferences and schedules of modern professionals. The integration of advanced technologies such as artificial intelligence, machine learning, and data analytics has further enhanced the effectiveness of certification programs, providing personalized learning experiences and real-time progress tracking.
Additionally, the increasing regulatory requirements and industry standards across sectors such as healthcare, finance, and manufacturing have made professional certification training indispensable. Organizations are under mounting pressure to comply with stringent regulations and demonstrate workforce competency through recognized certifications. This has led to a surge in compliance-related certification programs, especially in heavily regulated industries. Furthermore, the growing trend of corporate sponsorship for employee certification, coupled with government initiatives aimed at workforce development, has amplified the adoption of professional certification training. These factors, in conjunction with rising competition in the global job market, are expected to sustain the market's upward trajectory over the next decade.
Continuing Professional Development (CPD) plays a crucial role in the professional certification training market, as it emphasizes the importance of lifelong learning and skill enhancement. CPD ensures that professionals remain competent in their respective fields by engaging in ongoing education and training activities. This approach not only helps individuals maintain their professional licenses and certifications but also enables them to adapt to the ever-changing demands of the job market. By participating in CPD programs, professionals can stay updated with the latest industry trends, technologies, and best practices, thereby enhancing their career prospects and contributing to organizational success. The integration of CPD into certification training programs further underscores the market's commitment to fostering a culture of continuous improvement and excellence.
From a regional perspective, North America currently dominates the professional certification training market,
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The Community College Market was valued at 39.2(USD Billion) in 2025 and is projected to grow to 55.0(USD Billion) by 2035, at a CAGR of 3.4%. Community College Market Overview: Community College Market Overview: The Community College Market Size was valued at 37.9 USD Billion in 2024. The Community College Market is expected to grow from 39.2 USD Billion in 2025 to 55 USD Billion by 2035. The Community College Market CAGR (growth rate) is expected to be around 3.4% during the forecast period (2025 - 2035). Key Community College Market Trends Highlighted The Global Community College Market is experiencing notable trends driven by the increasing demand for affordable education options. The rising cost of traditional four-year institutions has led many students to seek community colleges as a practical and cost-effective alternative. This trend is further supported by governmental initiatives aimed at promoting community education and improving accessibility to higher education. Furthermore, there is a growing emphasis on skill-based learning and vocational training within community colleges, catering to the needs of industries that require skilled workers. More students are now recognizing the value of certifications and associate degrees that these institutions offer, which are often aligned with workforce demands.Opportunities lie in expanding online and hybrid learning models, enabling community colleges to reach a broader audience. As technology continues to evolve, institutions that adopt innovative teaching methods can enhance student engagement and learning outcomes. Additionally, partnerships with local industries and businesses present avenues for community colleges to create tailored programs that meet specific skill needs, thus bridging the gap between education and employment. Recent trends also highlight the importance of inclusivity and diversity within community colleges, encouraging underrepresented groups to pursue higher education. This is supported by various governmental programs that promote equal opportunities in educational access.Global initiatives focus on collaboration with international institutions to offer exchange programs, further enriching the academic experience. As these trends develop, the Global Community College Market is expected to grow steadily, reflecting an evolution in education that prioritizes accessibility, practical skills, and adaptability to market demands. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Community College Market Segment Insights: Community College Market Regional Insights The Global Community College Market exhibits a diverse regional landscape, with North America holding the majority share of the market, valued at 20 USD Billion in 2024 and predicted to rise to 27 USD Billion by 2035. This significant valuation underscores the crucial role that community colleges play in the educational system, providing accessible pathways for a large demographic seeking higher education. Europe showcases steady expansion within its community college sector, while the APAC region experiences strong growth driven by increasing demand for skilled educational services.South America demonstrates a moderate increase in community college enrollment, reflecting a rise in awareness of vocational education's importance in the workforce. The MEA region also shows potential, with gradual growth attributed to ongoing efforts to improve access to education. Overall, these trends highlight the varying dynamics across regions, influenced by educational needs, economic development, and government initiatives supporting community college accessibility. With the collective regional insights, the Global Community College Market segmentation presents opportunities for targeted investments and adapts to the educational demands of distinct populations. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : The community college market is experiencing significant growth driven by workforce development initiatives. The integration of smart manufacturing and AIoT in educat
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This dataset explores the relationship between students' educational habits and their early career outcomes. It includes variables such as GPA, study hours, SAT scores, certification completion, commute times, sleep habits, and job offers received. Additionally, it provides insights into the influence of soft skills, support methods (e-learning, tutoring), and major selection on salary and career satisfaction.
This dataset is ideal for analyzing patterns in academic performance and how they translate to career success. It can be used for data visualization projects, regression analysis, and educational policy research.
Columns Include:
Major
GPA
SAT Score
Study Hours
Hours of Sleep
Commute Time
Certifications Completed
Soft Skills Rating
Support Method Used (e-learning, tutoring, both, none)
Career Satisfaction
Number of Job Offers
Starting Salary