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Mapping the intelligent classroom: examining the emergence of personalized learning solutions in the digital age
(2025-01-10) Lagos Castillo, Alez; Chiappe, Andrés; Ramírez-Montoya, María Soledad; Becerra Rodríguez, Diego Fernando; EGADE Business School; Bacca Acosta, Jorge Luis; Soykan, Emrah; Rob Koper; Teo, Timothy
It may seem that learning platforms and systems are a tired topic for the academic community; however, with the recent advancements in artificial intelligence, they have become relevant to both current and future educational discourse. This systematic literature review explored platforms and software supporting personalized learning processes in the digital age. The review methodology followed PRISMA guidelines, searching Scopus and Web of Science databases. Results identified three main categories: artificial intelligence, platforms/software, and learning systems. Key findings indicate artificial intelligence plays a pivotal role in adaptive, personalized environments by offering individualized content, assessments, and recommendations. Online platforms integrate into blended environments to facilitate personalized learning, retention, and engagement. Learning systems promote student-centered models, highlight hybrid environments’ potential, and apply game elements for motivation. Practical implications include leveraging hybrid models, emphasizing human connections, analyzing student data, and teacher training. Future research directions involve comparative studies, motivational principles, predictive analytics, adaptive technologies, teacher professional development, cost-benefit analyses, ethical frameworks, and diverse learner impacts. Overall, the dynamic interplay between artificial intelligence, learning platforms, and learning systems offers a mosaic of opportunities for the evolution of personalized learning, emphasizing the importance of continuous exploration and refinement in this ever-evolving educational landscape.
Development of the Perception of Achievement of Complex Thinking: A Disciplinary Approach in a Latin American Student Population
(2022-04) Vázquez-Parra, José Carlos; Castillo-Martínez, Isolda Margarita; Ramírez-Montoya, María Soledad; Millán, Antonio
This paper aims to identify whether there are statistically significant differences in the level of perceived achievement of complex thinking competence in a population of Latin American students from different disciplines. The intention is to corroborate or question the academic literature that categorizes certain types of thinking (systemic, scientific, and critical) as characteristic elements of some disciplines. Methodologically, the validated eComplexity instrument was applied to a sample of 370 undergraduate students from a Mexican university. The results showed that the highest means for systems thinking can be found in the disciplines of Engineering, Business, and Humanities, while the highest means for critical thinking can be found among architecture students. However, statistically, the results showed no significant differences upon an overall comparison of all disciplines. In conclusion, the findings of this study prove to be valuable for educational institutions seeking to develop complex thinking in their students, demonstrating that the disciplinary area is not a limiting factor in developing a perception of achievement in a particular competence and its sub-competences.

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