CRIS :: Universidad Indoamérica

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Educational Quality in Teaching Magnetism Using Dedicated Mobile Devices
(2024)
Junta, Christian
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Varela Aldas, José
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Washington Collay
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David Rivas-Lalaleo
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Guillermo Palacios-Navarro
New technologies offer unprecedented opportunities to enhance classroom education, especially in practical subjects like physics, where experiments can be controlled via mobile devices. This facilitates both theoretical and practical learning. This study assesses the impact of using dedicated mobile devices in educational settings compared to traditional teaching methods. The application allows students to view educational information on an M5Stack Core2 device that also includes an electromagnet. We use the Student Evaluation of Educational Quality (SEEQ) to gather feedback and evaluate various aspects of the learning experience. Results indicate significant improvements in learning, enthusiasm, organization, group interaction, individual relationships, and breadth of device usage. Evaluations show that device-assisted classes outperform traditional classes in most categories, highlighting the benefits of integrating technology into education. The findings emphasize the importance of adapting teaching methods to enhance the overall quality of education and student engagement using dedicated mobile devices.
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Used of Cloud Computing Tools and Importance for Learning English as a Foring Language
(2024)
Quezada-Sarmiento, Pablo Alejandro
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Jadán Guerrero, Janio
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Christian Junior Arrobo-Ordoñez
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Mónica Consuelo Sarauz-Montalvo
The research aimed to demonstrate how using cloud computing tools as technology to learn the English language can enhance communication skills. This improvement allows individuals to better express actions, emotions, and intentions in both personal and professional settings. There is a growing emphasis on enhancing educational methods, teaching strategies, and integrating technology in foreign language education. Technology transforms outdated teaching approaches, placing communication skills at the core of language acquisition. Continuous innovation is crucial for advancing education, mainly by developing new teaching methods and technological tools that support learning, even from home. Educators, who play a pivotal and integral role in motivating students to utilize these tools to enhance their learning experience, need to become proficient in new language teaching technologies.
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Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm
(2025)
Jenniffer Sobeida Moreira-Choez
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Tibisay Milene Lamus de Rodríguez
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Núñez-Naranjo, Aracelly Fernanda
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Ángel Ramón Sabando-García
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María Belén Reinoso-Ávalos
Introduction: In the context of university education in Ecuador, the application of Artificial Intelligence (AI) for the assessment and adaptation of teaching models marks significant progress toward enhancing educational quality. The integration of AI into pedagogical processes is increasingly recognized as a strategic component for fostering innovation and improving instructional outcomes in higher education. Methods: This study focused on the validation of an AI-based instrument, specifically designed for the evaluation and adaptation of pedagogical strategies in the Ecuadorian university environment. A quantitative methodology was adopted, employing multivariate statistical analyses and structural equation modeling (SEM) to examine the internal consistency, construct validity, and interrelations among various didactic dimensions. The instrument was applied to a statistically representative sample of university professors across both undergraduate and graduate levels. Results: The statistical analysis demonstrated high levels of internal consistency and discriminative validity among the constructs representing different teaching models. The confirmatory factor analysis and SEM procedures verified the adequacy of the theoretical structure and the robustness of the proposed measurement model. Coefficients obtained for reliability and model fit met or exceeded established thresholds in educational research. Discussion: The findings confirm the empirical soundness of the AI-based instrument and support the feasibility of using such tools to assess and enhance teaching models in higher education. These results underscore the importance of adopting innovative, data-driven methodologies that respond to the demands of contemporary educational environments. Furthermore, the use of AI in the validation process enables a more precise interpretation of educational information, reinforcing the relevance of AI-supported models in optimizing teaching and learning processes.
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Kiteracy-PiFo: Technological Tool for Teaching the Rules of Grapheme-Phoneme Correspondence
(2025)
María de los Ángeles Carpio-Brenes
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Jadán Guerrero, Janio
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Arias Flores, Hugo Patricio
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Valencia-Aragón, Kevin
This study presents Kiteracy-PiFo, a technological tool designed to teach grapheme-phoneme correspondence to preschool students. Combining computer engineering and special education, the tool was developed to enhance Human-Computer Interaction in early literacy education. Despite challenges, including unforeseen events and technical issues, the tool was successfully implemented across schools in Cartago, Costa Rica. Statistical analysis revealed significant differences in vowel recognition between the experimental group using Kiteracy-PiFo and the control group using traditional methods, with the experimental group achieving higher results in less time. These findings suggest that integrating innovative technologies like Kiteracy-PiFo into educational practices can effectively accelerate learning in early childhood settings. However, successful implementation depends on strong pedagogical support and alignment with psychological principles to meet students’ cognitive and emotional needs.
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