Cellular phone distractions inhibit faculty delivering and students learning the curriculum by reducing student attendance and active engagement. Arguably, cellular phone usage during precious class times can be a risk factor for student attrition, but scarce solutions have been offered to address this problem in colleges. The Flipd App, a cellular phone distraction reduction technology was tested on 266 college students. The results showed a positive linear relationship between usage and attendance rates and a negative linear relationship between usage and ≥ 3 absence rates, and ∼10% of students resisted its use. The Flipd App may serve as a predictive educational intervention tool that increases active learning, reduces attrition, and increases retention. It may be useful in classes with less hands-on activities to reduce distractions and increase active student engagement. The Flipd App may prove useful in helping college students curb their screen time habits from the Fear of Missing Out to the Joy of Missing Out.
AlschulerM.YarabJ. (2018). Preventing student veteran attrition: What more can we do?Journal of College Student Retention: Research, Theory & Practice, 20(1), 47–66.
2.
AltD. (2015). College students’ academic motivation, media engagement and fear of missing out. Computers in Human Behavior, 49, 111–119.
3.
AncisJ. R.SedlacekW. E.MohrJ. J. (2011). Student perceptions of campus cultural climate by race. Journal of Counseling & Development, 78(2), 180–185.
4.
ArandaJ. H.BaigS. (2018). Toward “JOMO”: The joy of missing out and the freedom of disconnecting. Digital Memories and Emotions, Mobil HCl’18:19:1–19:8. https://doi.org/10.1145/3229434.3229468
5.
ArthC.GruberL.GrassetR.LanglotzT.MulloniA.SchmalstiegD.WagnerD. (2015). The history of mobile augmented reality: Developments in mobile AR over the last almost 50 years (Report No. ICG–TR–2015-001, pp. 1–41). Institute for Computer Graphics and Vision. https://arxiv.org/pdf/1505.01319.pdf
6.
AustinA. (2002). Preparing the next generation of faculty: Graduate school as socialization to the academic career. The Journal of Higher Education, 73(1), 94–122.
7.
AustinA. E.McDanielsM. (2006). Preparing the professoriate of the future: Graduate student socialization for faculty roles. In SmartJ. C. (Ed.), Higher education: Handbook of theory and research (Vol. 21, pp. 397–456). Springer Press.
8.
BarberaS. A.BerkshireS. D.BoronatC. B.KennedyM. H. (2017). Review of undergraduate student retention and graduation since 2010: Patterns, predictions, and recommendations for 2020. Journal of College Student Retention: Research, Theory & Practice, 0(0), 1–24. https://doi.org/10.1177/1521025117738233
9.
BerryM. J.WestfallA. (2015). Dial D for distraction: The making and breaking of cell phone policies in the college classroom. College Teaching, 63(2), 62–71.
10.
BhallaM. R.BhallaA. V. (2010). Generations of mobile wireless technology: A survey. International Journal of Computer Applications, 5(4), 26–32.
11.
BhallaV.SinglaT.GahlotA.GuptaV. (2013). Bluetooth based attendance management system. International Journal of Innovations in Engineering and Technology, 3(1), 227–233.
12.
BianchiA.PhillipsJ. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39–51. https://doi.org/10.1089/cpb.2005.8.39
BuglassS. L.BinderJ. F.BettsL. R.UnderwoodJ. D. M. (2017). Motivators of online vulnerability: The impact of social network site use and FOMO. Computers in Human Behavior, 66, 248–255.
15.
BurnsS. M.LohenryK. (2010). Cellular phone use in class: Implications for teaching and learning a pilot study. College Student Journal, 44(3), 805–810.
16.
CampbellC. M.MislevyJ. L. (2013). Student perceptions matter: Early signs of undergraduate student retention/attrition. Journal of College Student Retention: Research, Theory & Practice, 14(4), 467–493.
17.
CampbellJ. P.DeBloisP. B.OblingerD. G. (2007). Academic analytics: A new tool for a new era. EDUCASE Review, 42(4), 40–57.
18.
CampbellS. W. (2005). Perceptions of mobile phones in college classrooms: Ringing, cheating, and classroom policies. Communication Education, 55(3), 280–294.
19.
ChawhanS. S.GirhaleM. P.MankarG. (2013). Mobile phone based attendance system. Journal of Computer Engineering, 10(3), 48–50.
20.
ChoS.LeeE. (2016). Distraction by smartphone use during clinical practice and opinions about smartphone policies: A cross-sectional descriptive study of nursing students. Nurse Education Today, 40, 128–133.
21.
ColtonG. M.ConnorU. J.ShultzE. L.EasterL. M. (1999). Fighting attrition: One freshman year program that targets academic progress and retention for at-risk students. Journal of College Student Retention: Research, Theory & Practice, 1(2), 147–162.
22.
DaempfleP. A. (2003). An analysis of the high attrition rates among first year college science, math, and engineering majors. Journal of College Student Retention: Research, Theory & Practice, 5(1), 37–52.
23.
DelenD. (2011). Predicting student attrition with data mining methods. Journal of College Student Retention: Research, Theory & Practice, 13(1), 17–35.
24.
DeuzeM. (2005). Towards professional participatory storytelling in journalism and advertising. First Monday, 10(7), 1396–0466. https://doi.org/https://doi.org/10.5210/fm.v10i7.1257
25.
DhirA.YossatornY.KaurP.ChenS. (2018). Online social media fatigue and psychological wellbeing – A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152.
26.
DivanH. A.KheifetsL.ObelC.OlsenJ. (2012). Cell phone use and behavioural problems in young children. Journal of Epidemiology & Community Health, 66(6), 524–529.
27.
EagleN.PentlandA. (2006). Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10(4), 255–268.
28.
EhrenbergR. G.ZhangL. (2005). Do tenured and tenure-track faculty matter?The Journal of Human Resources, 53(3), 647–659.
29.
FoxA. B.RosenJ.CrawfordM. (2009). Distractions, distractions: Does instant messaging affect college students’ performance on a concurrent reading comprehension task?CyberPsychology & Behavior, 12(1), 51–53. https://doi.org/10.1089/cpb.2008.0107
30.
FriedmanM. C. (2014). Notes on note-taking: Review of research and insights for students and instructors. Harvard Initiative for Learning and Teaching, 1–34.
31.
GaneshV. R. (2016). Android college management system. International Journal of Advanced Research in Computer Engineering and Technology, 5(4), 882–885.
32.
GemmellJ.ArisA.LuederR. (2005). Telling stories with Mylifebits [Paper presentation]. 2005 IEEE International Conference on Multimedia and Expo (pp. 1536–1539), Amsterdam, Netherlands.
33.
Gemmell, J., Bell, G., Lueder, R., Drucker, S., & Wong, C. (2002). MyLifeBits: Fulfilling the Memex vision. MULTIMEDIA '02: Proceedings of the tenth ACM international conference on Multimedia, (pp. 235–238). https://doi.org/10.1145/641007.641053
34.
GiachettiC.MarchiG. (2010). Evolution of firms’ product strategy over the life cycle of technology-based industries: A case study of the global mobile phone industry, 1980-2009. Business History, 52(7), 1123–1150.
35.
GilroyM. (2004). Invasion of the classroom cell phones. The Educational Digest, Ann Arbor, 69(6), 56–60.
36.
GlynnJ. G.SauerP. L.MillerT. E. (2005). Configural invariance of a model of student attrition. Journal of College Student Retention: Research, Theory & Practice, 7(3), 263–281.
37.
GonzálezM. C.HidalgoC. A.BarabásiA. L. (2008). Understanding individual human mobility patterns. Nature, 453, 779–782.
38.
HaddonL. (2002). Domestication and mobile telephony. In KatzJ. E. (Ed.), Machines that become us: The social context of personal communication technology (pp. 43–56). Routledge Press.
39.
HausmanJ. (2004). Cellular 3G broadband and WiFi. In CooperR.MaddenG. (Eds.), Frontiers of broad band, electronic and mobile commerce: Contributions to economics (pp. 9–25). Springer Nature.
40.
HetzP. R.DawsonC. L.CullenT. A. (2015). Social media use and the fear of missing out (FOMA) while studying abroad. Journal of Research on Technology in Education, 47(4), 259–272.
41.
HudsonW. E.Sr. (2005). Can an early alert excessive absenteeism warning system be effective in freshman students?Journal of College Student Retention: Research, Theory & Practice, 7(3), 217–226.
42.
JacobsenW. C.ForsteR. (2011). The wired generation: Academic and social outcomes of electronic media use among university students. Cyberpsychology, Behavior, and Social Networking, 14(5), 275–280.
43.
JovićS. (2013). Urban youth’s context-dependent experiences of the most salient aspects of their lives. American Educational Research Association.
44.
JovićS. (2014). Evaluative devices as a narrative tool for enacting relational complexity: A window into implicit meaning in adolescents’ narratives. Narrative Inquiry, 24(1), 113–131.
45.
JovićS. (2015). Who you are is where you are: Urban youth’s context-dependent experiences of the important life aspects. In B. Selau & R. Foneca (Eds.), Cultural-historical approach: Educational research in difference contexts (pp. 161–191). EDIPUCRS.
46.
JovićS. (2018). “We know how it feels on both sides”: Adolescents from contrasting socioeconomic backgrounds narrate injustice. American Educational Research Association.
47.
KahhatR.KimJ.XuM.AllenbyB.WilliamsE.ZhangP. (2008). Exploring e-waste management systems in the United States. Resources, Conservation and Recycling, 52(7), 955–964.
48.
KamerJ. A.IshitaniT. T. (2019). First-year, non-traditional student retention at four-year institutions: How predictors of attrition vary across time. Journal of College Student Retention: Research, Theory & Practice, 0(0), 1–20. https://doi.org/10.1177/1521025119858732
49.
KarlenJ. M. (2003). Attrition of women business majors in an urban community college. Journal of College Student Retention: Research, Theory & Practice, 5(1), 1–9.
50.
KezarA.SamC. (2010). Special issue: Understanding the new majority of non-tenure-track faculty in higher education-demographics, experiences, and plans of action. ASHE Higher Education Report, 36(4), 1–133.
51.
KimJ.LeeE.ThomasT.DombrowskiC. (2009). Storytelling in new media: The case of alternate reality games, 2001-2009. First Monday, 14(6), 1396–0466. https://doi.org/10.5210/fm.v14i6.2484
52.
KleinrockL. (2008). History of the internet and its flexible future. IEEE Wireless Communications, 15(1), 8–18.
53.
KuhG. D.CruceT. M.ShoupR.KinzieJ.GonyeaR. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence. The Journal of Higher Education, 79(5), 540–563.
54.
LevinsonP. (2004). The story of the world’s most mobile medium and how it has transformed everything!St. Martin’s Press.
55.
LevinthalD. A. (1998). The slow pace of rapid technological change: Gradualism and punctuation in technological.Industrial and Corporate Change, 7(2), 217–247.
56.
LittleS. G.Akin-LittleA. (2008). Psychology’s contributions to classroom management. Psychology in the Schools, 45(3), 227–234.
57.
LottJ. L.GardnerS.PowersD. A. (2009). Doctoral student attrition in the STEM fields: An exploratory event history analysis. Journal of College Student Retention: Research, Theory & Practice, 11(2), 247–266.
58.
MaherM. A.WoffordA. M.RoksaJ.FeldonD. F. (2017). Exploring early exits: Doctoral attrition in the biomedical sciences. Journal of College Student Retention: Research, Theory & Practice, 0(0), 1–22. https://doi.org/10.1177/1521025117736871
59.
McCoyB. R. (2016). Digital distractions in the classroom phase II: Student classroom use of digital devices for non-class related purposes. Faculty Publications, College of Journalism and Mass Communications, 90(Winter), 1–44.
60.
MervisJ. (2010). Better intro courses seen as key to reducing attrition of STEM majors. Science, 330(6002), 306.
61.
MillerM. (2017). Is the educational technology revolution losing steam? What academic leaders can do to keep us moving forward. Change: The Magazine for Higher Learning, 49(2), 18–25.
62.
MukherjiB. R.NeuwirthL. S.LimonicL. (2017). Making the case for real diversity: Redefining underrepresented minority students in public universities. Sage Open, Special Diversity Edition (Apr.–June), 7(2), 1–10. https://doi.org/10.1177/2158244017707796
63.
NeuwirthL. S.DaciusT. F.Jr.MukherjiB. R. (2018a). Teaching neuroanatomy through a historical context. The Journal for Undergraduate Neuroscience Education, 16(2), E26–E31.
64.
NeuwirthL. S.EbrahimiA.MukherjiB. R.ParkL. (2018b). Addressing diverse college students and interdisciplinary learning experiences through online virtual laboratory instruction: A theoretical approach to error-based learning in biopsychology. In UrsynA. (Ed.), Visual approaches to cognitive education with technology integration (pp. 283–303). IGI Global. https://doi.org/10.4018/978-1-5225-5332-8.ch012
NovakG. M. (2011). Just-in-time teaching. New Directions for Teaching and Learning. Special Issue: Evidence-Based Teaching, 128, 63–73. https://doi.org/10.1002/tl.469
67.
OberstU.WegmannE.StodtB.BrandM.ChamarroA. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51–60.
68.
ParkC. L.BowmanJ.CareW. D. (2008). Persistence and attrition: What is being measured?Journal of College Student Retention: Research, Theory & Practice, 10(2), 223–233. https://doi.org/10.2190/CS.10.2.g
69.
PauleyR.CunninghamM.TothP. (1999). Doctoral student attrition and retention: A study of a non-traditional Ed.D. program. Journal of College Student Retention: Research, Theory & Practice, 1(3), 225–238.
70.
PerrineR. M.SpainJ. W. (2008). Impact of a pre-semester college orientation program: Hidden benefits?Journal of College Student Retention: Research, Theory & Practice, 10(2), 155–169.
71.
PrzybylskiA. K.MurayamaK.DeHannC. R.GladwellV. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1842.
72.
RadunzelJ. (2018). Examining retention and transfer in relation to incoming student data for first-generation and continuing-generation students: What differences exist?Journal of College Student Retention: Research, Theory & Practice, 0(0), 1–29. https://doi.org/10.1177/1521025118813516
RanieriM.BruniI. (2012). Mobile storytelling and informal education in a suburban area: A qualitative study on the potential of digital narratives for young second-generation immigrants. Learning, Median and Technology, 38(2), 217–235.
75.
RichieS. D.HargroveD. S. (2005). An analysis of the effectiveness of telephone intervention in reducing absences and improving grades of college freshmen. Journal of College Student Retention: Research, Theory & Practice, 6(4), 395–412.
76.
RobinsonB. H. (2009). E-waste: An assessment of global production and environmental impacts. Science of the Total Environment, 408(2), 183–191.
77.
RossS. E.NieblingB. C.HeckeryT. M. (1999). Sources of stress among college students. College Student Journal, 33(2), 312–317.
78.
RuddC. M.SaclaridesE. S.George-JacksonC. E.LubienskiS. T. (2018). Tipping points: Doctoral students and consideration of departure. Journal of College Student Retention: Research, Theory & Practice, 20(3), 286–307.
79.
Shelby-CaffeyC.ÚbédaE.JenkinsB. (2014). Digital storytelling revisited: An educator’s use of an innovative literacy practice. The Reading Teacher, 68(3), 191–199.
80.
SievekingN.PerfettoG. (2001). A student-centered individual-level university retention program where attrition is low. Journal of College Student Retention: Research, Theory & Practice, 2(4), 341–353.
81.
ThompsonR. L. (2011). Radicalization and the use of social media. Journal of Strategic Security, 4(4), 167–190.
82.
TindellD. R.BohlanderR. W. (2011). The use and abuse of cell phones and text messaging in the classroom: A survey of college students. Journal of College Teaching, 60(1), 1–9.
83.
TownsendA. M. (2000). Life in the real-time city: Mobile telephones and urban metabolism. Journal of Urban Technology, 7(2), 85–104.
84.
WantR. (2009). When cell phones become computers. IEEE Pervasive Computing, 8(2), 2–5.
85.
WellsM. I. (2007). Dreams deferred but not deterred: A qualitative study on undergraduate nursing student attrition. Journal of College Student Retention: Research, Theory & Practice, 8(4), 439–456.
86.
WeuffenS.FotinatosN.AndrewsT. (2018). Evaluating sociocultural influence of academic support services and programs (SSPs): Impacts on notions of attrition, retention, and success in higher education. Journal of College Student Retention: Research, Theory & Practice, 0(0), 1–21. https://doi.org/10.1177/1521025118803847
87.
WhiteleyS. (2002). Students who enrol to withdraw: Planned attrition from programs of study at university. Journal of College Student Retention: Research, Theory & Practice, 4(3), 281–295.
88.
WolniewiczC. A.TiamiyuM. F.WeeksJ. W.ElhaiJ. D. (2018). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, 262, 618–623.
89.
World Health Organization & National Highway Traffic Safety Administration (U.S.). (2011). Mobile phone use: A growing problem of driver distraction (pp. 1–52). World Health Organization. http://www.who.int/iris/handle/10665/44494
90.
YounT. I. K.PriceT. M. (2009). Learning from the experience of others: The evolution of faculty tenure and promotion rules in comprehensive institutions. The Journal of Higher Education, 80(2), 204–237.
