Artículo
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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- Instructional interface’s blueprint for guiding instructional-technological interactions’ research: the Big Bang shift in K-12(Springer Nature, 2020-11-30) Assaf Silva, Nayiv Amin Jesus; Instituto Tecnológico y de Estudios Superiores de MonterreyThis response reviews and analyzes the ten focal topics and three elements introduced in Nacu, Martin, and Pinkard’s work, entitled “Designing for 21st century learning online: a heuristic method to enable educator learning support roles”. An analogy of the London Stock Exchange’s Big Bang is drawn to describe the moment education is currently living. In this context, homeschooling guided learning is analyzed. Nacu, Martin, and Pinkard (2018) offered insightful approaches for the sudden shift to digital that the world has experienced since April 2020. Their inquiries coincided with the questions asked by researchers and teachers around the world when their schools were closed due to the COVID-19 lockdown. Along with Nacu et al.’s (Educ Tech Res 64(4):1029–1049, 2018) effort, a theoretical framework, an instructional interface model, is conceptualized as a blueprint, to offer a guide for research for instructional-technological interactions. In this scenario, shifting to digital is not just a tech shift but a worldwide creators’ mindset shifts.
- The future of learner-interface interaction. A vision from EdTech(Universidad de Guadalajara, 2020-09-30) Assaf Silva, Nayiv Amin Jesus; Instituto Tecnológico y de Estudios Superiores de MonterreyBased on Moore's three interactions of distance education, Hillman, Willis & Gunawardena, proposed a technological interaction in the instructional domain, the learner-interface interaction. Twenty-six years after their proposal, considering the high degree of technologization of educational technology due to its link to artificial intelligence, this interaction is more valid than ever. This article develops the past, present and future of this fourth interaction. The three most important technological areas related to education are presented, for the future development of the learner interface interaction: Evaluation of technological interactions in the learning domain (Usability and user experience), Capabilities of intelligent educational agents (Artificial intelligence and natural language processing) and Scope of predictive algorithms in education (Deep learning and big data), as fundamental elements, although not the only ones, for the design of the next generation of 2D and 3D intelligent multimedia interactive interfaces for educational purposes. The need for a unified interactional model, based on the Anderson-Moore triangular interactional model, is raised, and the Anderson equivalence theorem is taken to hypothesize a possible future scenario in the short, medium and long term for highly technological education.
- The learner-interface interaction´s future, a vision from EdTech(UDG Virtual, 2020-09-29) Assaf Silva, Nayiv Amin Jesus; Instituto Tecnológico y de Estudios Superiores de MonterreyEl futuro de la interacción aprendiz-interfaz, una visión desde la tecnología educativa. From Moore’s three interactions of distance education, Hillman, Willis & Gunawardena (1994) proposed a technological interaction in the instructional domain, the learner-interface interaction. Twenty-six years after their proposal, due to the high degree of technologization of educational technology due to its link with artificial intelligence, this interaction is more valid than ever. This article develops the past, present and future of this fourth interaction. The three most important technological areas related to education are presented, for the future development of the learner-interface interaction: Evaluation of technological interactions in the learning domain (Usability and user experience), Capabilities of intelligent educational agents (Artificial intelligence and natural language processing) and Scope of predictive algorithms in education (Deep learning and big data), as fundamental elements, although not the only ones, for the design of the next generation of 2&3D intelligent multimedia interactive interfaces for educational purposes. The need for a unified interactional model, based on the Anderson-Moore triangular interactional model, is raised, and the Anderson equivalence theorem is taken to hypothesize a possible future scenario in the short, medium and long term for highly technological education.