scholarly journals Schools’ written statements about the use of digital devices and reading performance

2020 ◽  
Vol 12 (2) ◽  
pp. 749 ◽  
Author(s):  
Esteban Vázquez-Cano ◽  
José Gómez-Galán ◽  
Alfonso Infante-Moro ◽  
Eloy López-Meneses

This article describes an investigation that made a comparative analysis of the influence of the use of technology for non-academic activities on the reading performance of students in 21 countries within the Organisation for Economic Co-operation and Development (OECD), as measured by the Program for International Student Assessment (PISA). To do this, we coded the SumIC001-008-010 variables (“Devices available at home” and “How often do you use digital devices for the following activities outside school”) in the PISA survey and quantified the effect by the proportion of variance explained of each variable in the model for each country. The results show that the reading score increases according to the variable for type and quantity of devices at home but falls drastically in all 21 countries when the “SumIC001” variable exceeds 15 points. Our research also found that the two activities that most negatively impacted reading performance if done on a regular basis were “playing online games via social networks” and “uploading your own created contents.” These results would seem to confirm that the non-sustainability and prolonged use of technology outside school is objectively negative for the development of reading competence in young people.


2000 ◽  
Vol 16 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Padeliadu Susana ◽  
Georgios D. Sideridis

Abstract This study investigated the discriminant validation of the Test of Reading Performance (TORP), a new scale designed to evaluate the reading performance of elementary-school students. The sample consisted of 181 elementary-school students drawn from public elementary schools in northern Greece using stratified random procedures. The TORP was hypothesized to measure six constructs, namely: “letter knowledge,” “phoneme blending,” “word identification,” “syntax,” “morphology,” and “passage comprehension.” Using standard deviations (SD) from the mean, three groups of students were formed as follows: A group of low achievers in reading (N = 9) including students who scored between -1 and -1.5 SD from the mean of the group. A group of students at risk of reading difficulties (N = 6) including students who scored between -1.5 and -2 SDs below the mean of the group. A group of students at risk of serious reading difficulties (N = 6) including students who scored -2 or more SDs below the mean of the group. The rest of the students (no risk, N = 122) comprised the fourth group. Using discriminant analyses it was evaluated how well the linear combination of the 15 variables that comprised the TORP could discriminate students of different reading ability. Results indicated that correct classification rates for low achievers, those at risk for reading problems, those at risk of serious reading problems, and the no-risk group were 89%, 100%, 83%, and 97%, respectively. Evidence for partial validation of the TORP was provided through the use of confirmatory factor analysis and indices of sensitivity and specificity. It is concluded that the TORP can be ut ilized for the identification of children at risk for low achievement in reading. Analysis of the misclassified cases indicated that increased variability might have been responsible for the existing misclassification. More research is needed to determine the discriminant validation of TORP with samples of children with specific reading disabilities.


2018 ◽  
Vol 33 (1) ◽  
pp. 160-168 ◽  
Author(s):  
Guadalupe Guzman ◽  
Taryn S. Goldberg ◽  
H. Lee Swanson

2020 ◽  
Author(s):  
Tyler Colasante ◽  
Lauren Lin ◽  
Kalee DeFrance ◽  
Tom Hollenstein

In the current digital age, emotional support is increasingly received through digital devices. However, virtually all studies assessing the benefits of emotional support have focused on in-person support. Using an experience sampling methodology, we assessed participants’ negative emotions, digital and in-person support for those emotions, and success in regulating them three times per day for 14 days, thus covering a wide range of digital support scenarios (N = 164 participants with 6,530 collective measurement occasions). We also considered whether participants were alone versus with others at the time of their negative emotion and higher versus lower in social avoidance as plausible moderators of when digital support was utilized and effective. We expected more pronounced use and efficacy of digital support when participants were alone and higher in trait social avoidance. However, digital support was used and perceived as effective for regulating negative emotions regardless of these factors and its beneficial effects were on par with those of traditional in-person support. The unique benefits of digital support may not be restricted to socially isolated or socially avoidant users. These findings are timely given the widespread anxiety and isolation under the current COVID-19 pandemic. If transcending time and space with digital emotional support is the new norm, the good news is that it seems to be working.


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