Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing

Abstract

Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create m-learning systems in agile manner. The developed m-learning systems -as tenants of MCC-learning- provide cloud-quality services to their clients. The solution is a service-oriented and three-layered MCC system encompassing innovative m-learning components. To adapt e-contents sent to clients, a Device-Adaptive-Rendering component is used which takes platform, capability, physical and other contextual diversities of mobile devices into account. Using MCC increases the development speed and decreases the Lines Of Code (LOC) to build m-learning systems. Experiment outcomes demonstrate improvement in time taken by learners to answer the learning task questions and accuracy rates.

Agile Teaching Framework for Music Education Software Development Curriculum Based on Deep Learning

“…Student learning is encouraged to extend beyond the usual performance-based music environment through the use of ADIF. Students are made aware of their responsibility for the subject matter and rehearsal process, as well as their active participation in music education [6].…”

Metasíntesis sobre la aplicación de principios de Ingeniería de Software en el desarrollo de plataformas de tecnología educativa

“…Así pues, considerar a la Ingeniería de Software como una fuente de principios y de mejores prácticas pareciera ser la solución a los problemas encontrados (como la brecha entre la teoría y la práctica en la tecnología educativa). De tal forma que se emplean aquellos que permiten lograr las características deseadas en las plataformas de tecnología educativa como lo son: usabilidad, utilidad, seguridad, confiabilidad, velocidad, disponibilidad y calidad (Aeiad & Meziane, 2019;Bettio et al, 2013;Chimalakonda & Nori, 2013;Frimpon, 2012;Mardis et al, 2018;Masson & Udas, 2009;Nori et al, 2014;Oyelere et al, 2018;Plaza et al, 2009;Zadahmad & Yousefzadehfard, 2016). No obstante, es necesario mencionar que todo lo descrito con anterioridad se trata de un escenario ideal, donde la aplicación de principios se podría dar de manera transparente y sin problemas, ya que no deja de ser una tarea compleja tratar de empatar ambas disciplinas debido a las diferencias conceptuales y semánticas existentes.…”