Abstract
Technology is recognized as a valuable learning tool, but research indicates that students are also distracted by the use of technology in class. Since college students constantly rely on their devices for learning, it has become imperative for instructors to find effective ways of integrating technology into their lessons while reducing digital distractions. In this study, we investigated the effects of behavior strategies related to in-class device usage among undergraduate students. Students were provided with visual prompts corresponding to various class activities to direct their use of devices in class. At the end of the semester, we surveyed the students about their perspectives on the visual prompts strategy for device usage. The majority of students found value in the use of technology devices in class for their learning (efficient work, notetaking, concentration) and indicated overall positive effects of the visual prompts strategy. For successful technology integration in college classrooms, instructors should consider using strategies such as visual prompts to enhance students’ learning experience and reduce digital distraction.
References
Aguilar-Roca, N., Williams, A., & O’Dowd, D. K. (2012). The impact of laptop-free zones on student performance and attitudes in large lectures. Computers & Education, 59(4), 1300–1308. https://doi.org/10.1016/j.compedu.2012.05.002
Alberto, P., & Troutman, A. (2013). Applied behavior analysis for teachers (9th ed.). Pearson.
Amelink, C. T., Scales, G., & Tront, J. G. (2012). Student use of the tablet PC: Impact on student learning behaviors. Advances in Engineering Education, 3(1), 1–17. https://files.eric.ed.gov/fulltext/EJ1076055.pdf
Awwad, F., & Ayesh, A. (2013). Effectiveness of laptop usage in UAE university undergraduate teaching. Turkish Online Journal of Educational Technology, 12(2), 77–88. https://files.eric.ed.gov/fulltext/EJ1015528.pdf
Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40(4), 199–209. https://doi.org/10.1207/s15326985ep4004_2
Bellur, S., Nowak, K. L., & Hull, K. S. (2015). Make it our time: In class multitaskers have lower academic performance. Computers in Human Behavior, 53, 63–70. https://doi.org/10.1016/j.chb.2015.06.027
Berry, M. J., & Westfall, A. (2015). Dial D for distraction: The making and breaking of cell phone policies in the college classroom. College Teaching, 63(2), 62–71. https://doi.org/10.1080/87567555.2015.1005040
Bjornsen, C. A., & Archer, K. J. (2015). Relations between college students’ cell phone use during class and grades. Scholarship of Teaching and Learning in Psychology, 1(4), 326–336. https://doi.org/10.1037/stl0000045
Broadbent, D. E. (1958). Perception and communication. Pergamon Press.
Broeckelman-Post, M. A., & MacArthur, B. L. (2018). Are we violating student expectations? Availability, workload, class time use, and technology policies in undergraduate courses. Journalism & Mass Communication Educator, 73(4), 439–453. https://doi.org/10.1177/1077695817736687
Burak, L. (2012) Multitasking in the university classroom. International Journal for the Scholarship of Teaching and Learning, 6(2). Article 8. https://doi.org/10.20429/ijsotl.2012.060208
Carrier, L. M., Rosen, L. D., Cheever, N. A., & Lim, A. F. (2015). Causes, effects, and practicalities of everyday multitasking. Developmental Review, 35, 64–78. https://doi.org/10.1016/j.dr.2014.12.005
Carter, S. P., Greenberg, K., & Walker, M. S. (2017). Should professors ban laptops? How classroom computer use affects student learning. Education Next, 17(4), 68–74.
Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior, 54, 34–42. https://doi.org/10.1016/j.chb.2015.07.047
Chen, L., Nath, R., & Tang, Z. (2020). Understanding the determinants of digital distraction: An automatic thinking behavior perspective. Computers in Human Behavior, 104, 106–195. https://doi.org/10.1016/j.chb.2019.106195
Clayton, M. C., Helms, B., & Simpson, C. (2006). Active prompting to decrease cellphone use and increase seat belt use while driving. Journal of Applied Behavior Analysis, 39, 341–349. https://doi.org/10.1901/jaba.2006.153-04
De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010). Learning by generating vs. receiving instructional explanations: Two approaches to enhance attention cueing in animations. Computers & Education, 55, 681–691. https://doi.org/10.1016/j.compedu.2010.02.027
Demirbilek, M., & Talan, T. (2018). The effect of social media multitasking on classroom performance. Active Learning in Higher Education, 19(2), 117–129. https://doi.org/10.1177/1469787417721382
Elliott-Dorans, L. R. (2018). To ban or not to ban? The effect of permissive versus restrictive laptop policies on student outcomes and teaching evaluations. Computers & Education, 126, 183–200. https://doi.org/10.1016/j.compedu.2018.07.008
Finn, A. N., & Ledbetter, A. M. (2014). Teacher verbal aggressiveness and credibility mediate the relationship between teacher technology policies and perceived student learning. Communication Education, 63(3), 210–234. https://doi.org/10.1080/03634523.2014.919009
Flanigan, A. E., & Babchuk, W. A. (2015). Social media as academic quicksand: A phenomenological study of student experiences in and out of the classroom. Learning and Individual DIfferences, 44, 40–45. https://doi.org/10.1016/j.lindif.2015.11.003
Flanigan, A. E., & Babchuk, W. A. (2022). Digital distraction in the classroom: Exploring instructor perceptions and reactions. Teaching in Higher Education, 27(3), 352–370. https://doi.org/10.1080/13562517.2020.1724937
Flanigan, A. E., & Kiewra, K. A. (2018). What college instructors can do about student cyber-slacking. Educational Psychology Review, 30, 585–597. https://doi.org/10.1007/s10648-017-9418-2
Flanigan, A. E., & Kim, J. H. (2022). Digital distractions in the college classroom. IGI Global.
Flanigan, A. E., & Titsworth, S. (2020). The impact of digital distraction on lecture note taking and student learning. Instructional Science, 48(5), 495–524. https://doi.org/10.1007/s11251-020-09517-2
Flanigan, A. E., Brady, A. C., Dai, Y., & Ray, E. (2023). Managing student digital distraction in the college classroom: A self-determination theory perspective. Educational Psychology Review, 35(2), 60. https://doi.org/10.1007/s10648-023-09780-y
Flanigan, A. E., Hosek, A. M., Frisby, B., Babchuk, W. A., & Ray, E. (2022). Student perceptions of digital distraction prevention and student–instructor rapport. Communication Education, 72(3), 217–236. https://doi.org/10.1080/03634523.2022.2149828
Gately, S. E. (2008). Facilitating reading comprehension for students on the autism spectrum. Teaching Exceptional Children, 40, 40–45. https://doi.org/10.1177/004005990804000304
Glass, A. L., & Kang, M. (2019). Dividing attention in the classroom reduces exam performance. Educational Psychologist, 39(3), 395–408. https://doi.org/10.1080/01443410.2018.1489046
Grapin, S. E., Llosa, L., Haas, A., & Lee, O. (2021). Rethinking instructional strategies with English learners in the content areas. TESOL Journal, 12(2), 1–12. https://doi.org/10.1002/tesj.557
Guinness, K. E., Beaulieu, L., & MacDonald, J. M. (2018). Effects of technology breaks on media multitasking with college students. Behavioral Interventions, 33(4), 427–439. https://doi.org/10.1002/bin.1529
Hassett, D. D., & Schieble, M. B. (2007). Finding space and time for the visual in K-12 literacy instruction. English Journal, 97(1), 62–68. https://doi.org/10.2307/30047210
Hutcheon, T. G., Lian, A., & Richard, A. (2019). The impact of a technology ban on students’ perceptions and performance in introduction to psychology. Teaching of Psychology, 46(1), 47–54. https://doi.org/10.1177/0098628318816141
Jamet, E., & Fernandez, J. (2016). Enhancing interactive tutorial effectiveness through visual cueing. Education Technology Research and Development, 64, 631–641. https://doi.org/10.1007/s11423-016-9437-6
Johnson, H. D., Sholcosky, D., Gabello, K., Ragni, R., & Ogonosky, N. (2003). Sex differences in public restroom handwashing behavior associated with visual behavior prompts. Perceptual and Motor Skills, 97(3), 805–810. https://doi.org/10.2466/PMS.97.7.805-810
Kay, R. H., & Lauricella, S. (2011). Exploring the benefits and challenges of using laptop computers in higher education classrooms: A formative analysis. Canadian Journal of Learning and Technology, 37(1). https://doi.org/10.21432/T2S598
Kim, K. & Jo, I-H. (2020). The effect of visual Cues on cognitive load depending on self-regulation in video-based learning. Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020), 776–780.
Kim, I., Kim, R., Kim, H., Kim, D., Han, K., Lee, P. H., Mark, G., & Lee, U. (2019). Understanding smartphone usage in college classrooms: A long-term measurement study. Computers & Education, 141, 1–16. https://doi.org/10.1016/j.compedu.2019.103611
Kornhauser, Z. G. C., Paul, A. L., & Siedlecki, K. L. (2016). An examination of students’ use of technology for non-academic purposes in the college classroom. Journal of Teaching and Learning with Technology, 5(1), 1–15. https://doi.org/10.14434/jotlt.v5n1.13781
Kuznekoff, J. H., Munz, S., & Titsworth, S. (2015). Mobile phones in the classroom: Examining the effects of texting, twitter, and message content on student learning. Communication Education, 64(3), 344–365. https://doi.org/10.1080/03634523.2015.1038727
Lin, L., & Atkinson, R. K. (2011). Using animations and visual cueing to support learning of scientific concepts and processes. Computers & Education, 56, 650–658. https://doi.org/10.1016/j.compedu.2010.10.007
Lin, L., Atkinson, R. K., Savenye, W. C., & Nelson, B. C. (2016). Effects of visual cues and self-explanation prompts: Empirical evidence in a multimedia environment. Interactive Learning Environments, 24(4), 799–813. https://doi.org/10.1080/10494820.2014.924531
Lindroth, T., & Bergquist, M. (2010). Laptops in an educational practice: Promoting the personal learning situation. Computers & Education, 54(2), 311–320. https://doi.org/10.1016/j.compedu.2009.07.014
Marquis, E., Jung, B., Schormans, A. F., Lukmanji, S., Wilton, R., & Baptiste, S. (2016). Developing inclusive educators: Enhancing the accessibility of teaching and learning in higher education. International Journal for Academic Development, 21(4), 337–349. https://doi.org/10.1080/1360144X.2016.1181071
May, K. E., & Elder, A. D. (2018). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Technology in Higher Education, 15(1), 13. https://doi.org/10.1186/s41239-018-0096-z
McCoy, B. R. (2020). Gen Z and digital distractions in the classroom: Student classroom use of digital devices for non-class related purposes. Journal of Media Education, 11(2), 5–23.
Michinov, N., & Hutain, J. (2023). Displaying the teachers’ slideshow on students’ devices prevents multitasking and promotes engagement during lectures. Active Learning in Higher Education. Online First Publication. https://doi.org/10.1177/14697874231176987
Parry, D. A., & le Roux, D. B. (2018). In-lecture media use and academic performance: Investigating demographic and intentional moderators. South African Computer Journal, 30(1), 85–107. https://doi.org/10.18489/sacj.v30i1.434
Patterson, R., & Patterson, R. M. (2017). Computer and productivity: Evidence from laptop use in the college classroom. Economics of Education Review, 57, 66–79. https://doi.org/10.1016/j.econedurev.2017.02.004
Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9, 1–6.
Ragan, E. D., Jennings, S. R., Massey, J. D., & Doolittle, P. E. (2014). Unregulated use of laptops over time in large lecture halls. Computers & Education, 78, 78–86. https://doi.org/10.1016/j.compedu.2014.05.002
Redner, R., Lang, L. M., & Brandt, K. P. (2020). Evaluation of an electronics intervention on electronics use in a college classroom. Behavior Analysis: Research and Practice, 20(1), 4–12. https://doi.org/10.1037/bar0000158
Ryan, M. (2022). Digital trend report. McGraw Hill.
Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24–31. https://doi.org/10.1016/j.compedu.2012.10.003
Santos, J. M., & Castro, R. D. R. (2021). Technological pedagogical content knowledge (TPACK) in action: Application of learning in the classroom by pre-service teachers. Social Sciences & Humanities Open, 3(1), 100–110. https://doi.org/10.1016/j.ssaho.2021.100110
Santos, I. M., Bocheco, O., & Habak, C. (2018). A survey of student and instructor perceptions of personal mobile technology usage and policies for the classroom. Education and Information Technologies, 23(2), 617–632. https://doi.org/10.1007/s10639-017-9625-y
Santos, I. M., Bocheco, O., Vizzotto, L., & Moro, E. J. (2021). Students as contributors: Undergraduates’ perceptions of mobile technology use and policies for the classroom. TechTrends, 65(2), 152–163. https://doi.org/10.1007/s11528-020-00559-4
Simmons, E. S., Lanter, E., & Lyons, M. C. (2014). Supporting mainstream educational success. In F. R. Volkmar, S. J. Rogers, R. Paul, & K. A. Pelphrey (Eds.), Handbook of autism and pervasive developmental disorders: Assessment, interventions, and policy (Vol. 2, 4th ed., pp. 838–857). John Wiley & Sons, Inc.
Spence, A., Beasley, K., Gravenkemper, H., Hoefler, A., Ngo, A., Ortiz, D., & Campisi, J. (2020). Social media use while listening to new material negatively affects short-term memory in college students. Physiology & Behavior, 227, 113–172. https://doi.org/10.1016/j.physbeh.2020.113172
Stowell, J. R. (2015). Use of clickers vs. Mobile devices for classroom polling. Computers & Education, 82, 329–334. https://doi.org/10.1016/j.compedu.2014.12.008
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.
Tassone, A., Liu, J. J., Reed, M., & Vickers, K. (2020). Multitasking in the classroom: Testing an educational intervention as a method of reducing multitasking. Active Learning in Higher Education, 21, 128–141. https://doi.org/10.1177/1469787417740772
Vahedi, Z., Zannella, L., & Want, S. C. (2021). Students’ use of information and communication technologies in the classroom: Uses, restriction, and integration. Active Learning in Higher Education, 22(3), 215–228. https://doi.org/10.1177/1469787419861926
Wammes, J. D., Ralph, B. C. W., Mills, C., Bosch, N., Duncan, T. L., & Smilek, D. (2019). Disengagement during lectures: Media multitasking and mind wandering in university classrooms. Computers & Education, 132, 76–89. https://doi.org/10.1016/j.compedu.2018.12.007
Wang, C.-H., Salisbury-Glennon, J. D., Dai, Y., Lee, S., & Dong, J. (2022). Empowering college students to decrease digital distraction through the use of self-regulated learning strategies. Contemporary Educational Technology, 14(4), ep388. https://doi.org/10.30935/cedtech/12456
Wong, C., Odom, S. L., Hume, K., Cox, A. W., Fettig, A., Kucharczyk, S., ... Schultz, T. R. (2014). Evidence-based practices for children, youth, and young adults with autism spectrum disorder. Frank Porter Graham Child Development Institute, Autism Evidence-Based Practice Review Group. https://autismpdc.fpg.unc.edu/sites/autismpdc.fpg.unc.edu/files/2014-EBP-Report.pdf
Wood, E., Zivcakova, L., Gentile, P., Archer, K., De Pasquale, D., & Nosko, A. (2012). Examining the impact of off-task multi-tasking with technology on real-time classroom learning. Computers & Education, 58(1), 365–374. https://doi.org/10.1016/j.compedu.2011.08.029
Wu, J., Mei, W., & Ugrin, J. C. (2018). Student cyberloafing in and out of the classroom in China and the relationship with student performance. Cyberpsychology, Behavior and Social Networking, 21(3), 199–204. https://doi.org/10.1089/cyber.2017.0397
Zhou, Y., & Deng, L. (2022). A systematic review of media multitasking in educational contexts: Trends, gaps, and antecedents. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2022.2032760
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Park, J., Ok, M.W. Use of Visual Prompts as a Pedagogical Strategy to Reduce Digital Distraction in College Classes. TechTrends 68, 325–337 (2024). https://doi.org/10.1007/s11528-024-00930-9
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DOI: https://doi.org/10.1007/s11528-024-00930-9