Smartphones and laptops: How do these mobile devices influence the teaching-learning process?

Smartphones and laptops: How do these mobile devices influence the teaching-learning process?

Ricardo-Adán SALAS-RUEDA

ÖZET
The aim of this quantitative research is to analyze the students' perceptions about the use of smartphones and laptops in the educational process through data science. The sample is composed of 80 students who took the careers of Administration, Commerce, Accounting and Marketing at a Mexican university during the 2017 school year. The results of machine learning (linear regression) indicate that the use of mobile devices in the classroom positively influences the search for information of the courses and realization of school activities through smartphones and laptops. Likewise, data science identifies 4 predictive models about the use of smartphones and laptops in the educational field through the decision tree technique. Finally, the incorporation of mobile devices in the classroom improves the teaching-learning conditions.

ABSTRACT
The aim of this quantitative research is to analyze the students' perceptions about the use of smartphones and laptops in the educational process through data science. The sample is composed of 80 students who took the careers of Administration, Commerce, Accounting and Marketing at a Mexican university during the 2017 school year. The results of machine learning (linear regression) indicate that the use of mobile devices in the classroom positively influences the search for information of the courses and realization of school activities through smartphones and laptops. Likewise, data science identifies 4 predictive models about the use of smartphones and laptops in the educational field through the decision tree technique. Finally, the incorporation of mobile devices in the classroom improves the teaching-learning conditions.

ANAHTAR KELİMELER: Mobile devices, higher education, smartphones, laptops, data science, machine learning, educational technology

KEYWORDS: Mobile devices, higher education, smartphones, laptops, data science, machine learning, educational technology

DOI : [PDF]