http://hdl.handle.net/10366/168063 2026-04-21T05:36:51Z 2026-04-21T05:36:51Z Valenzuela Arvizu, Siria Yahaira Ramírez Montoya, María Soledad García Peñalvo, Francisco J. http://hdl.handle.net/10366/168067 2025-12-03T01:01:08Z 2024-10-01T00:00:00Z

[EN]Due to the social, work, and technological demands characterizing 21st-century society, developing complex and computational thinking skills in the university environment is essential. This document aims to present the current status of a research plan for a doctoral thesis that analyses how university students’ development of computational and complex thinking skills are correlated using training experiences in an AI driven digital eco-system. This research utilizes a mixed method concurrent design with a triangulation strategy, that is, the collection of quantitative and qualitative data carried out simultaneously (QUAN-Qual). The expected results will enable the development of an evaluation prototype for educational ecosys-tems with integration of AI. The document is organized into six sections: a) introduction: context and motivation underlying this research project, b) the state of the art of the primary theoretical constructs, c) the hypothesis and research objectives, d) the methodology followed, e) the status of the thesis and f) expected contributions. The research project will contribute to educational innovation, generating valuable knowledge by designing an evaluation prototype for digital ecosystems integrated with AI focused on developing complex and computational thinking skills in university students.

2024-10-01T00:00:00Z Valenzuela Arvizu, Siria Yahaira García Peñalvo, Francisco J. Ramírez Montoya, María Soledad http://hdl.handle.net/10366/168062 2025-12-03T01:01:08Z 2024-10-01T00:00:00Z

[EN]Analyzing users’ experience in digital ecosystems (DE) is essential to ensure effective spaces capable of satisfying their needs and interests. The present study analyzed the publications in the Scopus and Web of Science (WoS) databases from 2010 to 2024 on the study topic of “user experience (UX) in DEs that integrate artificial intelligence (AI).” One hundred eighty-two published articles were reviewed using the Systematic Mapping methodology. Inclusion, exclusion, and quality criteria were applied to obtain the most relevant information. The results showed a) the preponderance of empirical research articles over theoretical/conceptual; b) the mixed methodology approach and the concurrent triangulation design were the most used; c) the main areas of interest were Health, Education, and Technology, which reflects in d) the contexts of the most cited articles and e) the areas of specialization of the main journals analyzed; f) the United States tops the list of the leading countries in this research topic, followed by China and Australia; and e) the studies emphasized assessing the usability and satisfaction with chatbots, the most prevalent and studied AI tool. This review provides a framework for identifying the state of the art of the research topic, making it possible to identify current and emerging research trends.

2024-10-01T00:00:00Z