Future Skills Forecasting: Ensuring Quality Learning for Every Segment of the Workforce

被引:1
作者
Caratozzolo, Patricia [1 ]
Cukierman, Uriel [2 ]
Norgaard, Bente [3 ]
Schrey-Niemenmaa, Katriina [4 ]
Azofeifa, Jose Daniel [1 ]
Rueda-Castro, Valentina [1 ]
机构
[1] Tecnol Monterrey, Inst Future Educ, Monterrey, Mexico
[2] Univ Tecnol Nacl, Buenos Aires, DF, Argentina
[3] Aalborg Univ, Aalborg, Denmark
[4] Acad Engineers & Architects Finland TEK & HR Plus, Helsinki, Finland
来源
2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024 | 2024年
关键词
educational innovation; higher education; professional development; future skills; KSA taxonomy; Industry; 4.0; workforce; MARKET;
D O I
10.1109/EDUCON60312.2024.10578916
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In their last international report, "Jobs of the Future 2023", the World Economic Forum strongly emphasizes that the ability to forecast future skills is paramount in ensuring quality learning for the workforce in the context of Industry 4.0 and beyond because it enables individuals and organizations to adapt, remain competitive, and thrive in a rapidly evolving industrial landscape. This study focuses on addressing the dynamic nature of the modern workforce by forecasting the Knowledge, Skills, and Abilities (KSA) that will be in high demand in the future. The authors explore innovative strategies for delivering quality education tailored to the workforce's diverse needs, with a particular emphasis on inclusivity and accessibility. The project has a broad scope encompassing a comprehensive analysis of workforce trends, emerging skill requirements, and the development of effective reskilling and upskilling programs. It aims to bridge the gap between current skills and future job requirements by forecasting the skills in demand. The study anticipates several key results, including the identification of future skill demands, the development of customized learning programs, the implementation of technology-enhanced educational initiatives, and the establishment of comprehensive workforce development strategies. By forecasting future skills and developing inclusive learning programs, the project seeks to create a more equitable and accessible educational landscape, ensuring that individuals from all backgrounds and demographics are prepared for the opportunities and challenges of the future job market.
引用
收藏
页数:5
相关论文
共 26 条
  • [1] Alsheibani S., 2018, Artificial Intelligence Adoption: AIreadiness at Firm-Level
  • [2] [Anonymous], 2010, Standard occupational classification: 2010 SOC major groups
  • [3] Banihammad B. A., 2023, ADIPEC, DOI [10.2118/215968-MS, DOI 10.2118/215968-MS]
  • [4] Brun-Schamme A., 2021, A new approach to skills mismatch
  • [5] Caratozzolo P., 2022, Developing Skills for Industry 4.0: et Challenges and Opportunities in Engineering Education, V2022, DOI [10.1109/FIE56618.2022.9962444, DOI 10.1109/FIE56618.2022.9962444]
  • [6] Caratozzolo P., 2021, 7 INT C ED ICEDU, P616, DOI [10.17501/24246700.2021.7160, DOI 10.17501/24246700.2021.7160]
  • [7] Emerging trends in data analytics and knowledge management job market: extending KSA framework
    Chang, Hsia-Ching
    Wang, Chen-Ya
    Hawamdeh, Suliman
    [J]. JOURNAL OF KNOWLEDGE MANAGEMENT, 2019, 23 (04) : 664 - 686
  • [8] Ehlers U.-D., 2020, Future skills: the future of learning and higher education
  • [9] Fang B. X., 2022, Critical Core Skills Profiling in Singapore
  • [10] Fenlon M J., 2021, Business-Higher Education Forum