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Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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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, TimothyIt 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.
- In-service teachers’ self-perceptions of digital competence and OER use as determined by a xMOOC training course(Elsevier, 2017-09) Ramírez-Montoya, María-Soledad; Mena, Juanjo; Rodríguez-Arroyo, José A.; Tecnologico de Monterrey; Matthieu GuittonDigital Competence (DC) is considered a driver for educational innovation since its immediate result is the production of new digital media resources for teaching such as Open Educational Resources (OER). This study aims to determine teachers' DC through their participation in a MOOC training course and establish the extent to which DC better enables the production of OER. A group of 863 in-service teachers participated in the study. A 26-item validated questionnaire on DC and the use of OER was delivered to participants, and course facilitators' weekly reports were collected. An ordinal logarithmic regression was conducted to verify whether teachers who hold positive self-perceptions of DC are more prone to using OER in their teaching. Mean differences between traditional teaching and online teaching were also tested. Reports were content analysed using a SWOT matrix. Our model predicts that only in-service teachers that perceive themselves as digital experts can reach an intermediate level in the production of OER. Furthermore, online teaching significantly favours teachers' DC but is highly significant in OER production. The main implication is that training teachers' DC is required to prepare teachers for the use of OER; however, teacher education should first address teachers’ actual level of performance.