Evaluation of Mobile devices in the classroom: Learning motivations using the SPSS Method

Abstract

Learning motivations and mobile devices are closely interconnected in today's digital age. Smartphones and tablets mobile devices like, have significantly impacted the way people access information and engage in learning activities. Here are some key aspects to consider regarding learning motivations and their relationship with mobile devices: Accessibility: Mobile devices provide easy access to a vast amount of information and learning resources. Learners can access educational content from anywhere and at any time, which removes barriers to learning and motivates them to explore new subjects or topics. Convenience: The portability of mobile devices allows learners to fit learning activities into their busy schedules. Whether it's during a commute, waiting in line, or during breaks, people can engage in short learning sessions, making learning more manageable and appealing. Personalization: Mobile devices enable personalized learning experiences through apps, adaptive learning platforms, and customizable content. Tailoring educational content to individual preferences and skill levels can enhance motivation and engagement. Gamification: Many leader boards, and challenges, making learning more interactive and enjoyable. These gamified features can motivate learners to complete tasks and achieve learning goals. The significance of researching learning motivations and mobile devices lies in its educators and developers can create more engaging and interactive learning experiences. This can lead to increased student participation, retention of knowledge, and overall learning outcomes. Inclusive Learning Opportunities: Mobile devices can bridge the gap between learners in different geographic locations or with limited access to traditional educational resources. Research on learning motivations can inform the development of inclusive learning tools and strategies, ensuring that education are accessible to a broader audience. Personalized Learning: Understanding individual learning motivations through mobile devices can facilitate personalized learning experiences. Adaptive learning platforms can leverage this research to tailor content and activities based on learners' preferences, skills, and interests. Optimal Use of Technology: Mobile devices are omnipresent in modern society, and their integration into education is inevitable. Research on learning motivations can guide educators in making informed the classroom and beyond. SPSS is descriptive eand bivariate data for statistics analytical, numerical effect projections and groups for identification provides predictions. software data conversion, map and direct marketing aspects provides software the interface is its key similar to a spreadsheet in view also shows open data. computer supported cooperative learning, computer supported cooperative play, E-learning, mobile & wireless games, mobile learning The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .658 which indicates 66% reliability. From the literature review, the above 50% Cronbach's Alpha value model can be considered for analysis.