The Future of Education
Computational Thinking for Low Qualified Adults Education: Challenges and Implementation Process
Ligita Zailskaitė-Jakštė, Kaunas University of Technology (Lithuania)
Lina Narbutaitė, Kaunas University of Technology (Lithuania)
Belén González Benito, Provincial Council of Alava (Spain)
Leire Monterrubio, Media Creativa 2020 (Spain)
Olivier Heidmann, FUTURE Learning; University of Thessaly (Greece)
Hariklia Tsalapatas, FUTURE Learning; University of Thessaly (Greece)
Abstract
Computational Thinking (CT) has been broadly analysed in the K-12 educational context; however, a significant gap remains regarding its adoption in the education of low-qualified adults. Key questions arise, such as: How CT principles can be applied in both daily and professional life of low qualified people? What challenges and opportunities exist in this context? What is the potential impact of CT on adult education? What specific teaching strategies can be employed to effectively integrate CT into adult learning? Furthermore, how can CT serve as an inclusive tool for individuals with disabilities?
This study is grounded in the project “Enhancing Low-Qualified Adults' Inclusion through Computational Thinking (COMPutational Seniors),” initiated in October 2024. The project brings together partners from Spain, Greece, Lithuania, and Poland, collaborating to achieve its objectives.
The initial stages of the project are presented, including the development of Open Educational Resources (OERs), the formation of National Piloting Committees in each partner country, and the initial steps in preparing an e-Guide for adult trainers.
Preliminary findings from the project indicate a critical need to enhance CT competencies among low-qualified adults to improve their adaptability, critical thinking, and decision-making across various professional domains. CT is recognized as an essential skill for navigating technological advancements and addressing real-world challenges in education, work, and daily life. However, challenges have also been identified, particularly concerning national policies that influence the implementation of CT education for low-qualified adults.
Keywords: Computational Thinking, Adult Education, Learners Engagement
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