An Empirical Examination of the Educational Impact of Text Message-Induced Task Switching in the Classroom: Educational Implications and Strategies to Enhance Learning

By Larry D. Rosen, Alex F. Lim, L. Mark Carrier, Nancy A. Cheever. 2011

266 citations recorded by the source corpus.

Today´s Net Generation university students multitask more than any prior generation, primarily using electronic communication tools (Carrier et al., 2009). In addition, studies report that many students text during class (Tindell & Bohlander, 2011). This research examines the impact of receiving and sending text messages during a classroom lecture. Recent laboratory research (Ophir, et al., 2009) reported that multitasking impaired performance, particularly among heavy multitaskers. Further, experimental research has shown that "technologically induced" interruptions can be disruptive, causing increased errors and decreased performance (Monk, et al., 2008). This study is the first to experimentally examine the direct impact of text message interruptions on memory recall in a classroom environment. Participants viewed a 30-minute videotaped lecture during which they were interrupted by receiving text messages requiring responses. Participants in four classrooms were randomly assigned to three groups receiving no text messages, four text messages or eight text messages. Based on the actual number of texts received and sent— including those not sent by the experimenter—three comparison groups were defined: No/Low Texting Interruption (zero to 7 text messages sent and received), Moderate Texting Interruption (eight to 15 texts), and High Texting Interruption (16 or more texts). Following the videotaped lecture, a recall test assessed the impact of text message interruptions on memory. In addition, participants were asked about their typical monthly texting and their attitudes toward classroom texting behaviors. Results indicated that the High Texting group scored significantly worse (10.6% lower) than the No/Low Texting Interruption group although there was no significant difference between No/Low Texting Interruption and Moderate Texting Interruption group nor was there a significant difference between the Moderate Texting Interruption group and the High Texting Interruption group. In addition, while nearly three fourths of the participants felt that receiving and sending text messages during class was disruptive to learning, 40% felt it was acceptable to text in class. Results also indicated that those participants who received and sent more words in their texts performed worse on the test although this was moderated by the elapsed time between receiving (or sending) a text with longer delays resulting in better performance. The results of these studies are discussed in terms of Salvucci et al.´s (2009) Unified Theory of the Multita sking Continuum plus the potential use of metacognitive strategies when faced with potentially disruptive multitasking. Educational implications are highlighted and strategies outlined for maximizing performance in media-rich multitasking environments.

Subfields: Clinical Psychology, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3eda8d13875d9e33ef3ea276172626b5ffb7a675

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Citations in the corpus

In-class multitasking and academic performance (2012, background): “Presumably , the negative effects of multitasking on short-term recall of information found in the Wood et al. (2012) and Rosen et al. (2011) studies should translate to longer-term effects on GPA.”
Facebook and texting made me do it: Media-induced task-switching while studying (2013, background): “''This suggests that we should be teaching our students metacognitive strategies that focus on when it is appropriate to take a break and when it is important to focus without distractions'' (Rosen et al., 2011, p. 174).”
No A 4 U: The relationship between multitasking and academic performance (2012, background): “, 2012) and text messaging (Rosen et al., 2011) in the classroom led to worse educational outcomes.”
Student class standing, Facebook use, and academic performance (2015, background): “Previous research on multitasking also points to the possible role of self-regulation as a factor that mediates whether students can focus on a single task (Rosen et al., 2011, 2013.”
An exploration of social networking site use, multitasking, and academic performance among United States and European university students (2013, background): “…multitasking behaviors, which is associated with a decrement in performance (Fried, 2008; Grace-Martin & Gay, 2001;Hembrooke&Gay,2003;Junco &Cotten,2010,2012;Kraushaar & Novak, 2010; Rosen, Lim, Carrier, & Cheever, 2011; Wainer et al., 2008; Wood et al., 2012; Wurst, Smarkola, & Gaffney, 2008).”
Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance (2018, unknown): “Rosen, Lim, Carrier, and Cheever (2011) examined the impact of in-class mobile phone usage during course lecture on test performance.”