In-class multitasking and academic performance
By Reynol Junco. Computers in Human Behavior, 2012
369 citations recorded by the source corpus.
Subfields: Computer Science Applications, Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/116865b7ce7c59fe1a75ba6831642b90ab705aa6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- M. Kang
- Arnold Lewis Glass
- Karla Klein Murdock
- Paul A. Kirschner
- Maya Samaha Rupert
- Nazir S. Hawi
- Pedro De Bruyckere
- Şahin Gökçearslan
In Education
- M. Kang
- Arnold Lewis Glass
- Nazir S. Hawi
- Maya Samaha Rupert
- Karla Klein Murdock
- Paul A. Kirschner
- Pedro De Bruyckere
- Şahin Gökçearslan
In Sociology and Political Science
- Reynol Junco
- Nazir S. Hawi
- Maya Samaha Rupert
- M. Kang
- Arnold Lewis Glass
- Karla Klein Murdock
- Paul A. Kirschner
- Jason M. Chein
Citations in the corpus
- Comparing actual and self-reported measures of Facebook use (2013, background): “Researchers have examined how Facebook is related to various aspects of the college student experience including learning (Junco, 2012a; Kirschner & Karpinski, 2010; Kolek & Saunders, 2008; Pasek, More, & Hargittai, 2009), student engagement (Junco, 2012b), multitasking (Junco, 2012c; Junco &…”
- Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students (2016, background): “In a study carried out with a big working group, it was found that social network usage and cyberloafing in the form of texting affected academic success (GPA) negatively (Junco, 2012).”
- What type of content are smartphone users addicted to?: SNS vs. games (2016, background): “Multitasking while studying could lead to multiple negative consequences, including decreased academic performance (e.g., Junco, 2012; Pool, Koolstra, & van der Voort, 2003) and decreased recall of media content (e.g., Jeong& Hwang, 2012, 2015; Srivastava, 2013).”
- Student class standing, Facebook use, and academic performance (2015, methodology): “Junco (2012b) developed the list by asking his Facebook network to identify activities they engage in on the site.”
- Texting while stressed: Implications for students’ burnout, sleep, and well-being. (2013, background): “…of increased cell phone use have been considered in terms of a variety of domains such as social relationships (Kabat-Zinn, 2005), communication skills (Drouin & Davis, 2009), academic performance (Junco, 2012), and personal and public safety (Drews, Yazdani, Godfrey, Cooper, & Strayer, 2009).”
- The myths of the digital native and the multitasker (2017, background): “1) and Lambert and Cuper (2008) who state that “preservice teachers need to use multimedia technologies within the context of students’ familiar, technologyrich living spaces” (p.”
- To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance (2016, background): “Whether learning in class, studying outside class, or engaging in homework either alone or as a member of a team, most students t d to smartphone multitask (Jacobsen & Forste, 2011; Junco, 2012).”
- Smartphones and Cognition: A Review of Research Exploring the Links between Mobile Technology Habits and Cognitive Functioning (2017, background): “…and Murphy, 2014; Lepp et al., 2014), instant messaging (Levine et al., 2007; Fox et al., 2009), social networking (Kirschner and Karpinski, 2010; Junco, 2012b; Karpinski et al., 2012; Paul et al., 2012), media multitasking (Junco, 2012a; Rosen et al., 2013; Sana et al., 2013), and general…”
- Impact of mobile technology on student attitudes, engagement, and learning (2017, background): “Students may also be distracted by multitasking on devices and distract fellow students by their technology use (Bellur, Nowak, & Hull, 2015; Dietz & Henrich, 2014; Junco, 2012; Ravizza, Hambrick, & Fenn, 2014; Sana, Weston, & Cepeda, 2013).”
- Dividing attention in the classroom reduces exam performance (2018, methodology): “These results (Fried, 2008; Jacobsen & Forste, 2011; Junco, 2012; Kraushaar & Novak, 2010; Ravizza et al., 2014, 2017) cannot rule out the plausible hypothesis that the students who are more likely to divide attention between academic and non-academic tasks in class are also more likely to do so out”