Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps’ identification using text mining

Benhayoun, Lamiae; Lang, Daniel W.

doi:10.3233/hsm-211179

Cited by 12 publications

(7 citation statements)

References 40 publications

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“…Bendechache et al [48] focus on engaging teenagers in workshops to reflect on ethical and privacy implications of AI, thus empowering them to evaluate the ethical aspects of AI in their lives. Benhayoun and Lang [49] identify gaps between academic training on AI and the requirements of the labor market, emphasizing the need for education to incorporate knowledge of ethical and regulatory dimensions of AI.…”

Section: Societal and Ethical Implicationsmentioning

confidence: 99%

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

Barnes,

Hutson

2024

Forum Edu. Stud.

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Artificial intelligence (AI) and machine learning (ML) are transforming higher education by enhancing personalized learning and academic support, yet they pose significant ethical challenges, particularly in terms of inherent biases. This review critically examines the integration of AI in higher education, underscoring the dual aspects of its potential to innovate educational paradigms and the essential need to address ethical implications to avoid perpetuating existing inequalities. The researchers employed a methodological approach that analyzed case studies and literature as primary data collection methods, focusing on strategies to mitigate biases through technical solutions, diverse datasets, and strict adherence to ethical guidelines. Their findings indicate that establishing an ethical AI environment in higher education is imperative and involves comprehensive efforts across policy regulation, governance, and education. The study emphasizes the significance of interdisciplinary collaboration in addressing the complexities of AI bias, highlighting how policy, regulation, governance, and education play pivotal roles in creating an ethical AI framework. Ultimately, the paper advocates for continuous vigilance and proactive strategies to ensure that AI contributes positively to educational settings, stressing the need for robust frameworks that integrate ethical considerations throughout the lifecycle of AI systems to ensure their responsible and equitable use.

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Section: Societal and Ethical Implicationsmentioning

confidence: 99%

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

Barnes,

Hutson

2024

Forum Edu. Stud.

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“…The introduction of industries 4.0 and 5.0 and the exponential expansion of digital technologies spawn a new wave of abilities and skills (Benhayoun & Lang, 2021). Using digital technologies, entrepreneurs increasingly deploy entrepreneurial actions beyond traditional practice, such as ecosystems, networks, and communities (Kraus, Palmer, Kailer, Kallinger & Spitzer, 2019).…”

Section: Female Entrepreneurship In the 40 And 50 Industrial Revolutionmentioning

confidence: 99%

The perceived future of female entrepreneurs in South Africa

Schultz,

Ebewo,

Magdeline Mmako

2024

IJRBS

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The study under discussion aims to map the outlook for female business owners in South Africa by investigating nine stories shared by interviewees operating across industries, age groups, and holding different levels of education. Through a qualitative exploration grounded in the intersectionality theory, the research unveils a nuanced tapestry of challenges and opportunities shaping the experiences of these resilient entrepreneurs. The findings echo the transformative potential inherent in women-led businesses, vividly portraying them as dynamic agents fostering growth, attracting investments, and contributing positively to economic expansion, poverty alleviation, and community development. The narrative portrays the leading women-run businesses as agents of change, instigating economic growth, attracting investments, and contributing positively to the realisation of social justice, poverty eradication, and improved livelihoods. The theme of patriarchy surfaces as a challenge in the entrepreneurial field, but with more pronounced adverse structures in opposition to free-playing entrepreneurship. The study that has exhausted all the topics ends with an emphasis on targeted interventions, acknowledging the obstacle of domestic constraints, improving cooperation, and dismantling patriarchal power structures. Its principles are establishing a supportive environment that considers the distinctive factors of women's entrepreneurship, resulting in economic empowerment and sometimes overall social development. Due to its active contribution to women's direction in business and in the implementation of pertinent targeted interventions, South Africa can employ women's potential fully, which can lead to economic growth and be socially beneficial in the meantime. The study also suggests that future inquiries to clear the sight about different actors within the entrepreneurship ecosystem and eventually form a comprehensive outlook of all factors that underline the complex business generation process.

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“…To complete the evaluation process, the researchers have adopted six quality assessments (QA) proposed by Kitchenham Since the focus of this paper is to analyze the use of online job data, fourteen related articles used online job data whether job advertisements, CVs, and both. The subject of studies was varied as some studies aimed directly at solving skill gaps (Almaleh et al, 2019;Baruah et al, 2018;Benhayoun & Lang, 2021;Hoang et al, 2018;Kranov & Khalaf, 2016;Lavrynenko et al, 2018). Meanwhile, the other studies focused on skill shortage (Dawson et al, 2019(Dawson et al, , 2020, skills mismatch (Ward et al, 2017), occupational mismatch (Turrell et al, 2021), and matching of demand and supply in the labor market (Vankevich & (2018) has created a system to analyze the skill, demand, and supply of the labor market which indirectly overcomes the issue of mismatching in using online job data which is a job advertisement.…”

Section: Quality Appraisalmentioning

confidence: 99%

Systematic Literature Review: An Analysis of Skill Mismatch Measurement

Saad,

Rahman,

Hussain

et al. 2023

European Proceedings of Finance and Economics

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The rapid growth of technology in the era of Industry 4.0 has caused the dynamic labor market to grow faster than ever before. This resulted in a mismatch between the jobs offered and the skills required. Thus, it raised the number of unemployability. The objective of this paper is to analyze the measurement of skill mismatch. Shortcomings and flaws in previous measurement methods and a broad definition of skill mismatch hindered the issues to be solved. The introduction of online job analysis has been seen as increasingly more valuable in measuring labor market conditions. Overcoming the issues such as cost, time lag, and biases, this measurement has been seen to be the new trend among scholars to shed the light on skill mismatch measurement. This paper analyzed 402 papers on online job data (vacancy, advertisement, portal) published from 2017 to 2022 from Scopus and Web of Science databases. Preferred Reporting Items for Systematic Review & Meta-Analyses (PRISMA) were used for this study. After the inclusion and exclusion criteria, ten papers from Scopus and five papers from the Web of Science database that matched with the criteria objective have been selected. Therefore, the study found that analyzing online job data is the new trend to be used in improving the labor market with more of the data could be used for the improvement to the previous method of measuring the skill mismatch problem.

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Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps’ identification using text mining

Cited by 12 publications

References 40 publications

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

The perceived future of female entrepreneurs in South Africa

Systematic Literature Review: An Analysis of Skill Mismatch Measurement

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