دانلود رایگان مقاله انگلیسی آموزش با تکنولوژی های تلفن همراه - رفتار دانش آموزان - الزویر 2018

abstract

The increasing growth of mobile technology in our Society has become a reality. This paper was designed to research about the different factors and drivers that could influence students’ behaviour into the usage of mobile technologies for learning. The methodology was based on a quantitative survey grounded on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. Data were collected from medical students in University of Coimbra. This model pointed to a behaviour pattern based on the experience and application by medical students, correlating with a strong attitude towards using mobile technology for learning (57%) and willingness to recommend it (40.5%). In line with previous studies, Social Influence raised to be an important factor towards the Attitude and Behavioural Intention of using Mobile Learning. In addition, according to the results, the student’s ease of perception seems to be the main factor affecting the Social Influence (31.9%) and the reliability for recommending this technology for learning was the main factor that affected the Behavioural Intention. Findings provide support for Technology Acceptance Model and the implications of these findings are discussed within the context of Innovation in Education.

5. Conclusions

According to the data analysis, this study presents a good internal consistency reliability and also suggests the validity of this research. Besides, it seems that medical students perceive mobile learning and the use of apps moderately positive. They have a strong attitude towards using it (57%) and they are very willing to recommend it (40.5%). However, they have a medium willingness to adopt it (Behavioural intention has a variance of 31.9%).

Social Influence is an important factor that could affect the Attitude and the Behavioural Intention of using Mobile Learning. Besides, the student’s ease of use perception is the main factor affecting the Social Influence (31.9%) and finally, the new factor related with the reliability of recommendation of this technology for learning is the main factor that may affect the Behavioural intention.

Future research can be conducted to analyse the score results obtained and the benefits and drawbacks to encourage the use of mobile devices and apps for learning and then contribute to the innovation in education area. In addition, it should be recommended to compare the collected data by using different subgroups such as profile, age or gender to dwell on the impact of these external variables to the model.

In summary, the understanding of the drivers to motivate the use of new technologies could enhance the quality of learning process, allow students benefit their potential pedagogical and instructional uses and, in short, promote and encourage the adoption of these original resources as innovative ways of teaching and learning.