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Essential elements for implementing AI tools in elementary school: A systematic literature review
(MDPI, 2024-11-26) Arriola Mendoza, Jorge; Valerio Ureña, Gabriel; Tecnologico de Monterrey; Meletiou Mavrotheris, Maria
The global use of Artificial Intelligence (AI) has attracted considerable attention, and its integration into educational systems is a priority that warrants further exploration. In collaboration with UNESCO, numerous organizations have proposed parameters advocating for the inclusion of AI in basic education systems. A systematic literature review (SLR) was conducted to identify these parameters from the existing research. Although these parameters have been mentioned in some studies, they are generally not prioritized in the research landscape. AI tools are primarily used to support students, while teachers typically employ a pedagogical approach centered on in-class activities. Additionally, essential conditions related to research requirements and involvement from the private and third sectors showed consistent adherence across the examined studies. However, it was found that only 52% of the studies included an ethical declaration regarding the data collected by AI during research development, especially regarding studies involving children. This review provides a guide for educational communities looking to enhance pedagogical practices through AI integration into their educational environments, but who may be uncertain about where to begin. Questions related to AI modality selection, pedagogical relevance, ethical considerations, and procedural guidelines for integrating AI into curricula are addressed through the insights provided in this review.
EduTubers’s pedagogical best practices and their theoretical foundation
(MDPI, 2022-10-22) Pasquel López, Cynthia; Valerio Ureña, Gabriel; Instituto Tecnológico y de Estudios Superiores de Monterrey
1) Background: The COVID-19 pandemic forced educational institutions to radically change their teaching and learning methods. Many institutions found it a challenge when they opted to deliver classes online. Given the success of several EduTubers, this study aimed to identify their best practices. (2) Method: The research was qualitative in nature and descriptive in scope and analyzed three angles, namely the perspective of EduTubers, their videos, and the assessment of the audience. Moreover, the results demonstrated that the level of awareness of these practices varies among actors. (3) Results: The study identified 12 practices divided into four categories, namely (a) resource management, (b) communication strategies, (c) content management, and (d) pedagogical strategies. (4) Conclusions: Followers were aware of the most evident practices, such as tone of voice and length of explanation, whereas EduTubers clearly convey practices such as anchoring in prior knowledge and use of associations. However, when analyzing the videos of EduTubers, the study found that they used other practices with low levels of awareness, such as mental representations, balanced use of different resources, or management of topics in a logical and hierarchical order.

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