Abstract

The term “mobile learning” (or “m-learning”) refers to using handheld phones to learn and wireless computing as a learning tool and connectivity technology. This paper presents and explores the latest mobile platform for teaching and studying programming basics. The M-Learning tool was created using a platform-independent approach to target the largest available number of learners while reducing development and maintenance time and effort. Since the code is completely shared across mobile devices (iOS, Android, and Windows Phone), students can use any smartphone to access the app. To make the programme responsive, scalable, and dynamic, and to provide students with personalised guidance, the core application is based on an analysis design development implementation and assessment (ADDIE) model implemented in the Xamarin framework. The application’s key features are depicted in a prototype. An experiment is carried out on BS students at a university to evaluate the efficacy of the generated application. A usefulness questionnaire is administered to an experimental community in order to determine students’ expectations of the developed mobile application’s usability. The findings of the experiment show that the application is considerably more successful than conventional learning in developing students’ online knowledge assessment abilities, with an impact size of 1.96. The findings add to the existing mobile learning literature by defining usability assessment features and offering a basis for designing platform-independent m-learning applications. The current findings are explored in terms of their implications for study and teaching practice.

Highlights

  • Higher education is vital to a society’s economic growth

  • About 4 million students attend Saudi universities and colleges today, compared to 7000 in 1970—a significant increase [1]. Teachers find it difficult to concentrate on hundreds of students, those who are unable to ask questions or offer input during the lecture cycle

  • The platform-independent mobile learning tool (MLT) was developed in five stages using the ADDIE model [32]. Why is this model complete and accurate enough? In this paper, we show how the ADDIE paradigm may be used to create an m-learning application

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Summary

Introduction

About 4 million students attend Saudi universities and colleges today, compared to 7000 in 1970—a significant increase [1]. Teachers find it difficult to concentrate on hundreds of students, those who are unable to ask questions or offer input during the lecture cycle. Mobile learning has arisen as a new development in higher education. Questionnair[15Classical min] learning of online post-quiz evaluation [one week] practices. Classical learning of online evaluation practices post quiz [oneweek]. As a consequence, making post-quiz the target page function as the first page has the goal of capturing students’ interest and still including the course goals. On the other hand, have the option of skipping 5.procedure

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