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Zona Próxima
versión On-line ISSN 2145-9444
Resumen
DE OBESSO ARIAS, MARÍA DE LAS MERCEDES; PEREZ RIVERO, CARLOS ALBERTO y NUNEZ-CANAL, MARGARITA. Digital competence and algorithmic competence in the age of artificial intelligence. "AlComEdu": a holistic approach to managing the strategy and marketing of higher education institutions. Zona prox. [online]. 2025, n.42, pp.128-149. Epub 02-Ene-2025. ISSN 2145-9444. https://doi.org/10.14482/zp.42.985.473.
This article addresses the European Union's (EU) objective of promoting citizen digitization and socioeconomic progress through education. Digital competence, according to the OECD and the EU, refers to the skills to live and work in a digitized society, including communication, information seeking, and informed decision-making. However, there is a lack of consensus on its definition. On the other hand, the omnipresence of algorithms in the day-to-day interaction of individuals challenges the models so far developed, which highlights the need for a new algorithmic competence focused on understanding and using algorithms and artificial intelligence.
To establish a clear framework, we propose to investigate the conceptual foundations of existing theories with an epistemological perspective to define a new competency. Based on pre-existing models and literature on artificial intelligence and education as an emerging field, two dimensions are identified to assess algorithmic competence: conceptual skills and human skills. Conceptual skills include digital resource creation, data management, digital pedagogy, and learner assessment. Human skills refer to organizational communication, professional collaboration, reflective practice, and digital literacy.
The importance of teaching students the responsible use of artificial intelligence, including ethical and privacy issues, is emphasized. Algorithmic competency seeks to enhance critical thinking, questioning, autonomy and problem-solving through the appropriate use of AI tools. This comprehensive approach provides a clear framework for developing and assessing algorithmic competence in the educational context.
Palabras clave : Artificial intelligence; higher education; digital competence; DigComEdu; algorithm competence; algorithm literacy.
