Pre-adolescents’ digital competences in the area of safety. Does frequency of social media use mean safer and more knowledgeable digital usage?

Martín, Azucena Hernández; Pozo, Marta Martín del; Rodríguez, Ana Iglesias

doi:10.1007/s10639-020-10302-4

Cited by 12 publications

(10 citation statements)

References 32 publications

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“…The results indicated a significant difference, with better digital skills observed in those who had not repeated. These findings coincide with the ideas from Garcia & Jimenez ( 2019 ), who affirmed that a low academic performance was closely associated with repeating a year, where the use of digital media to obtain scientific knowledge could improve learning (Hernández-Martín et al, 2021 ; Maria & Awan, 2019 ), with an existing symbiosis between digital competence and academic performance (Alderete & Formichella, 2016 ; Mehrvarz et al, 2021 ). These results point to the need to think about the teachers having a great range of digital resources at the service of pedagogy.…”

Section: Discussionsupporting

confidence: 83%

“…The results indicated that students who utilized social networks to obtain scientific knowledge obtained good grades, as compared to those who only used them for fun or entertainment. Similar results were found by Hernández-Martín et al ( 2021 ), who stated that significant differences in digital competence were found between the students who utilized social networks more than 3 or 4 times per week, and those who used them every day.…”

Section: Theoretical Framework and Related Studiessupporting

confidence: 88%

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Digital Competence of Higher Education Students as a Predictor of Academic Success

Cabero‐Almenara

Castillo²,

Guillén‐Gámez³

et al. 2022

Tech Know Learn

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The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17,301 students from Chile (Latin America) were utilized. A questionnaire composed of a total of 30 items, classified into five endogenous and exogenous dimensions through a causal model, adapted from the works of Gutiérrez-Castillo (Estudio de la competencia digital del alumnado de educación superior. Un análisis de las titulaciones de grado de educación infantil y primaria en la comunidad autónoma de Andalucía. [Tesis doctoral inédita]. Universidad de Sevilla, 2017), Gutiérrez-Castillo & Cabero (Profesorado, Revista De Currículum Y Formación Del Profesorado 20:180–199, 2016) and Gutiérrez-Castillo et al. (Espacios 38:16, 2017), was administered via online to the students. The results showed statistically significant differences in digital competence, as a function of repeating an academic year or not, with better scores for the latter. Also, factors such as the number of digital resources utilized for the teaching–learning process, the previous preparation for managing their studies, as well as the level of education of the parents, mainly the father, significantly had an influence on both types of students. This study highlights the importance of the development of an adequate digital competence which has an influence on the learning of the students and their posterior class promotion.

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Section: Discussionsupporting

confidence: 83%

Section: Theoretical Framework and Related Studiessupporting

confidence: 88%

Digital Competence of Higher Education Students as a Predictor of Academic Success

Cabero‐Almenara

Castillo²,

Guillén‐Gámez³

et al. 2022

Tech Know Learn

View full text Add to dashboard Cite

show abstract

“…Moreover, the literature confirms that there is a strong relationship between attitudes towards technology and its use in educational contexts (Hu et al, 2018). This leads to better student skills, including digital skills (Hernández-Martín et al, 2021). If we focus on the area of mathematics, the application of digital resources can have a positive impact on the academic performance of students (Gómez et al, 2020;Sharp & Hamil, 2018).…”

Section: The Effect Of Digital Resources On Student Learningmentioning

confidence: 82%

Effectiveness of the Flipped Classroom in the Teaching of Mathematics in an Online Environment: Identification of Factors Affecting the Learning Process

PALMERO

Guillén‐Gámez

Magaña

et al. 2023

OLJ

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The purpose of this study was to analyse the effectiveness of the Flipped Classroom methodology for teaching mathematics, geometry in particular, in an online environment. Specifically, we measured: 1) the academic achievement of students who were taught in this way; and 2) perceptions of satisfaction with this methodology and the virtual sessions attended through digital resources. For this purpose, a pre-experimental and ex-post-facto design was used with a sample of 113 Secondary Education students. With regard to academic performance, positive and significant differences were found between the pre-test and the post-test, with previous underachievement in mathematics, efforts made towards learning and the educational level of the parents being predictors. In respect of the students' perceptions, the results showed a favourable satisfaction with the use of the Flipped Classroom, where the environmental context in which the educational process takes place interferes with their perceptions. However, slightly negative perceptions were found on the use of virtual sessions with digital resources, where the frequency of use of some resources and electronic devices has a significant influence. These results add value on how to further integrate this methodology in the subject of mathematics, where the use of digital resources to learn geometry helps to improve the different competences and skills of the students.

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“…The digital competence framework DIGCOMP has been proposed to assess digital competence (Carretero et al 2017 ). DIGCOMP is a critical document for assessing digital competence, and it has been adopted in many contexts (Hernández-Martín et al 2021 ). Retrieving and processing information, communication, and creating and managing learning content have been proposed as categories of digital competence related to education (Ferrari 2013 ).…”

Section: Methodsmentioning

confidence: 99%

Assessment of the digital competencies of university instructors through use of the machine learning method

Yang

2023

SN Soc Sci

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The explosion of COVID-19 has brought new challenges to the education industry, especially higher education. Digital competency is becoming an essential competency for higher education instructors, and how to assess instructors' digital competency is attracting increasing attention in higher education. However, most studies have used self-report questionnaires or manual reviews to assess digital competencies, which are time-consuming and potentially biased, and there is a current need for valid and effective assessment methods. To address this issue, this study uses machine learning to analyze syllabi to assess the extent to which university instructors have incorporated digital competency into their courses. The results show that not only is the proposed method feasible, but the results of the assessment using machine learning are highly consistent with those of the human assessment. This approach contributes to the assessment of digital competency in higher education institutions and provides evidence that can be used as a reference for future research on the development of digital competency in higher education institutions.

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Pre-adolescents’ digital competences in the area of safety. Does frequency of social media use mean safer and more knowledgeable digital usage?

Cited by 12 publications

References 32 publications

Digital Competence of Higher Education Students as a Predictor of Academic Success

Digital Competence of Higher Education Students as a Predictor of Academic Success

Effectiveness of the Flipped Classroom in the Teaching of Mathematics in an Online Environment: Identification of Factors Affecting the Learning Process

Assessment of the digital competencies of university instructors through use of the machine learning method

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