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Reynol Junco

Researcher at Lock Haven University of Pennsylvania

Publications -  28
Citations -  6148

Reynol Junco is an academic researcher from Lock Haven University of Pennsylvania. The author has contributed to research in topics: Social media & Human multitasking. The author has an hindex of 18, co-authored 28 publications receiving 5560 citations. Previous affiliations of Reynol Junco include Iowa State University & Harvard University.

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Journal ArticleDOI

The Effect of Twitter on College Student Engagement and Grades

TL;DR: Experimental evidence that Twitter can be used as an educational tool to help engage students and to mobilize faculty into a more active and participatory role is provided.
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The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement

TL;DR: Results indicate that Facebook use was significantly negatively predictive of engagement scale score and positively predictive of time spent in co-curricular activities, and some Facebook activities were positively predicting of the dependent variables, while others were negatively predictive.
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Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance

TL;DR: Using a large sample of college students to examine the relationship among multiple measures of frequency of Facebook use, participation in Facebook activities, and time spent preparing for class and actual overall GPA revealed that time spent on Facebook was strongly and significantly negatively related to overall GPA.
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No A 4 U: The relationship between multitasking and academic performance

TL;DR: It was found that students reported spending a large amount of time using ICTs on a daily basis, and Hierarchical (blocked) linear regression analyses revealed that using Facebook and texting while doing schoolwork were negatively associated with overall college GPA.
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Comparing actual and self-reported measures of Facebook use

TL;DR: This study provides the first test of the criterion validity of measures of Facebook frequency by comparing self-reported time spent on the site and number of logins against actual usage as measured by computer monitoring software.