Factors (not) affecting what students do with computers and internet at home

Hinostroza, J. Enrique; Matamala, Carolina; Labbé, Christian; Claro, Magdalena; Cabello, Tania

doi:10.1080/17439884.2014.883407

Cited by 31 publications

(33 citation statements)

References 20 publications

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“…Alternatively, Hinostroza et al . () found no difference in use after equating for access to a computer. This study adds family income to family background factors in the model to test the explanatory power of economic variation on ICT use by teens.…”

Section: Theoretical Background and Research Questionsmentioning

confidence: 93%

“…In a study applying the theory of planned behavior to explain ICT intention to use, gender influenced which factors in the model were most predictive (Venkatesh, Morris, & Ackerman, 2000). An educational study found female students spend more time on academic uses while male students spend more time on gaming activities (Hinostroza et al, 2015). Research found a significant difference in which boys outperformed girls in digital competence (Calvani, Fini, Ranieri, & Picci, 2012).…”

Section: Gender and Family Backgroundmentioning

confidence: 99%

“…A recent review of research on social media suggests that students from low socio-economic background may not have access to technologies needed for the social media experience (Deaton, 2015). Alternatively, Hinostroza et al (2015) found no difference in use after Vol 50 No 6 2019 equating for access to a computer. This study adds family income to family background factors in the model to test the explanatory power of economic variation on ICT use by teens.…”

Section: Gender and Family Backgroundmentioning

confidence: 99%

“…Conflicting research questions whether disparities continue for student access to technology based on gender and socio‐economic factors (Hinostroza, Matamala, Labbé, Claro, & Cabello, ). Access to tools is prerequisite to use.…”

Section: Introductionmentioning

confidence: 99%

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Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

Grant¹

2019

Brit J Educational Tech

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There is a need to understand antecedents to US teens’ use of information and communication technology (ICT). Research on the “digital divide” for access to ICT reports conflicting findings based on gender and demographic factors of parent income and education. This study expanded the “tool‐will‐skill” framework to examine how demographic factors, access to ICT tools, teen will factors and social networking skill explain variation in Internet use among US teens. The study analyzed national data from Pew Research Center’s survey of 1,060 US teens. Principal component analysis (PCA) identified six latent variables for teen will. A pre‐diagram depicts a conceptual framework and causal assumption of relationships between demographic factors, tool factors (ie, Internet access, smartphone access and tablet access), will factors (from PCA) and skill factors (Facebook, Instagram, Snapchat and Twitter). Multiple linear path analysis was conducted, and results reported. Recommendations are suggested for instructional practice, educational policy and future research.

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Section: Theoretical Background and Research Questionsmentioning

confidence: 93%

Section: Gender and Family Backgroundmentioning

confidence: 99%

Section: Gender and Family Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

Grant¹

2019

Brit J Educational Tech

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“…La primera incluye a aquellas investigaciones que describen la frecuencia de actividades con TIC llevadas a cabo por grupos de usuarios. En este tipo de enfoque, se tiende a construir diferentes tipologías de usuarios basadas en categorías generalmente similares, tales como, entretenimiento, comunicación, búsqueda de información, productividad y otros (Hinostroza, Matamala, Labbé, Claro & Cabello, 2015).…”

Section: Usos De Tic En Educación Entre Variables De Contexto E Indiunclassified

Los factores individuales y su efecto en los resultados escolares. Una medición a partir del SIMCE TIC 2013

Mora

Martínez

Serrano

2018

Cal Edu

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RESUMENEste trabajo presenta los resultados del estudio "Factores individuales y su efecto en los resultados escolares. Una medición a partir del Simce TIC 2013" en estudiantes chilenos. El objetivo de esta investigación fue describir las relaciones entre el tipo de uso, la autopercepción de habilidades TIC y la actitud frente al uso de las TIC, en relación con los resultados del Simce TIC 2013, en estudiantes chilenos de segundo año medio. A través de un conjunto de análisis estadísticos, se obtuvo como resultado la existencia de factores asociados a dimensiones de habilidades TIC para el aprendizaje, actitud frente al uso y tipos de uso. En cuanto a los resultados, es posible plantear que existe relación entre las variables analizadas en la investigación. El modelo explica el 24,4% de la varianza del puntaje Simce TIC.Palabras clave: actitud frente al uso de TIC, análisis factorial exploratorio, autopercepción de habilidades TIC, análisis de sendero, tipos de uso de TIC. INDIVIDUAL FACTORS AND THEIR EFFECT ON STUDENT OUTCOMES. AN ANALYSIS OF DATA FROM SIMCE TIC 2013 ABSTRACT

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Consensus of Individual and Group Characteristics for ICT Adoption and Appropriation

Agudelo,

López,

Castañeda

2023

Lecture Notes in Networks and Systems

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Factors (not) affecting what students do with computers and internet at home

Cited by 31 publications

References 20 publications

Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

Predicting Web 2.0 use among US teens—Expanding the power of the skill, will and tool model

Los factores individuales y su efecto en los resultados escolares. Una medición a partir del SIMCE TIC 2013

Consensus of Individual and Group Characteristics for ICT Adoption and Appropriation

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