scholarly journals Student use of mobile devices in university lectures

2014 ◽  
Vol 30 (4) ◽  
Author(s):  
Neil Roberts ◽  
Michael Rees
Keyword(s):  
Focus Group ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Device ◽  
Laptop Computers ◽  
Common Activity ◽  
Survey Results ◽  
Device Use

<p>Mobile devices are increasingly used by students in university lectures. This has resulted in controversy and the banning of mobile devices in some lectures. Although there has been some research into how students use laptop computers in lectures, there has been little investigation into the wider use of mobile devices. This study was designed to investigate which mobile devices students use, what they use them for and the duration of each activity within 1 hour lectures. Students in six cross faculty core classes (n=74 students total) at Bond University responded to a survey asking them to document and comment on their mobile device use over the previous hour at the end of their lecture. A focus group of students who had not been surveyed was conducted to cross-validate the survey results. The key results were that 66% of students responding to the survey reported using a mobile device in the lecture. Of this group, 45% used a mobile phone and 38% a laptop. The most common activity was typing notes on a laptop, followed by accessing lecture slides. The vast majority of mobile device usage was on task and related to the lecture<strong>.</strong></p>

scholarly journals 0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A5-A5
Author(s):  
A Gozar ◽  
A Seixas ◽  
L Hale ◽  
C Branas ◽  
M Barrett ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Device ◽  
Productivity Loss ◽  
Work Productivity ◽  
Well Being ◽  
Mobile Phone Use ◽  
Mediating Role ◽  
Mobile Phone Usage ◽  
Device Use ◽  
Healthy Activity

Abstract Introduction Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety. Methods Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety. Results The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p&lt;0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p&lt;0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant. Conclusion Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity. Support The SHADES study was funded by R21ES022931 Dr. Grandner is supported by R01MD011600

scholarly journals The association of mobile device use of electronic health record with the wellbeing of nurses: cross-sectional survey study (Preprint)

2021 ◽  
Author(s):  
Tarja Heponiemi ◽  
Anu Kaihlanen ◽  
Kia Gluschkoff ◽  
Kaija Saranto ◽  
Sari Nissinen ◽  
...  
Keyword(s):  
Health Care ◽  
Mobile Devices ◽  
Mobile Device ◽  
Time Pressure ◽  
Ease Of Use ◽  
Survey Study ◽  
Technical Quality ◽  
Cross Sectional ◽  
Low Levels ◽  
Device Use

BACKGROUND Mobile devices such as tablets and smartphones are increasingly used in health care in many developed countries. Nurses form the largest group in health care that uses electronic health records (EHRs) and their mobile versions. Mobile devices are suggested to promote nurses’ workflow, constant updating of patient information and improve the communication within the health care team. However, little is known about their effect on nurses’ wellbeing. OBJECTIVE The present study aimed to examine the association of mobile device use of the EHR with nurses’ perceived time pressure, stress related to information systems (SRIS) and self-rated stress. Moreover, we examined whether mobile device use modifies the associations of EHR usability (ease of use and technical quality), experience in using EHRs and number of systems in daily use with these wellbeing indicators. METHODS The present study was a cross-sectional population-based survey study among 3,610 Finnish registered nurses gathered in 2020. The associations were examined using analyses of covariance and logistic regression adjusted for age, gender and employment sector (hospital, primary care, social service and other). RESULTS Those who used mobile version of their EHR had higher levels of time pressure ( F(1)= 14.96, p < .001) and SRIS ( F(1)= 6.11, p = .01) compared to those who did not use mobile versions. Moreover, the interactions of mobile device use with experience in using EHRs (F(1) = 14.93, p < .001), ease of use (F(1) = 10.16, p = .001) and technical quality (F(1) = 6.45, p = .01) were significant for SRIS. Inexperience in using EHRs, low levels of ease of use and technical quality were associated with higher SRIS and this association was more pronounced among those who used mobile devices. That is, the highest levels of SRIS were perceived among those who used mobile devices and were inexperienced EHR users, perceived low levels of ease of use or low levels of technical quality of their EHR. CONCLUSIONS According to our results it seems that at the moment mobile device use is not beneficial for the nurses’ wellbeing. In addition, mobile device use seems to intensify the negative effects of usability problems of the EHRs. Especially inexperienced users of EHRs seem be at disadvantage when using mobile devices. Thus, we suggest that EHRs and their mobile versions should be improved in a manner that they would be easier to use and would better support the nurses’ workflow. For example, improvements to problems related to small display, user interface and difficult data entry of mobile versions might be useful. Moreover, more training related to EHRs, their mobile versions and workflow related to these should be provided to nurses.

Impact of a “No Mobile Device” Policy on Developmental Surveillance in a Pediatric Clinic

2018 ◽  
Vol 57 (10) ◽  
pp. 1216-1223
Author(s):  
Paul A. Regan ◽  
Benjamin N. Fogel ◽  
Steven D. Hicks
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Controlled Trial ◽  
Intervention Group ◽  
Fine Motor ◽  
Office Visits ◽  
Developmental Surveillance ◽  
Pediatric Clinic ◽  
Ages And Stages Questionnaire ◽  
Device Use

Children commonly use mobile devices at pediatric office visits. This practice may affect patient-provider interaction and undermine accuracy of developmental surveillance. A randomized, provider-blinded, controlled trial examined whether a policy prohibiting mobile device use in a pediatric clinic improved accuracy of pediatricians’ developmental surveillance. Children, aged 18 to 36 months, were randomized to device-prohibited (intervention; n = 58) or device-allowed (control; n = 54) groups. After a 30-minute well-visit, development was evaluated as “normal,” “borderline,” or “delayed” in 5 categories using the Ages and Stages Questionnaire (ASQ-3). ASQ-3 results were compared with providers’ clinical assessment in each category. Provider-ASQ discrepancies were more common for intervention participants ( P = .025). Providers “missed” more ASQ-3 “delayed” scores ( P = .005) in the intervention group, particularly in the fine motor domain ( P = .018). Prohibiting mobile device use at well-visits did not improve accuracy of providers’ developmental surveillance. Mobile devices may entertain children at well-visits, allowing opportunities for parent-provider discussion, or observation of fine motor skills.

Comparative Study of Elementary and Secondary Teacher Perceptions of Mobile Technology in Classrooms

2018 ◽  
Vol 10 (1) ◽  
pp. 12-33 ◽  
Author(s):  
David De Jong ◽  
Trent Grundmeyer ◽  
Chad Anderson
Keyword(s):  
Comparative Study ◽  
Teacher Perceptions ◽  
Mobile Devices ◽  
Secondary Teachers ◽  
Mobile Technology ◽  
Mobile Device ◽  
Secondary Teacher ◽  
Technology In The Classroom ◽  
Survey Results ◽  
And Training

More and more schools are implementing a 1:1 mobile device initiative for their students because the future of learning will have technology embedded within the curriculum. Teachers are often given the direction to utilize mobile devices in the classroom, but quite often educators do not understand the significance of this technology or agree with its purpose. The purpose of this study was to explore elementary and secondary teacher perceptions of mobile technology in the classroom. According to the survey results, elementary and secondary teachers feel positive about the uses and the importance of mobile technology in the classroom. These positive perceptions by teachers regardless of gender, age, and training indicate that schools should continue to allocate resources to purchase mobile devices for all students.

scholarly journals An Exploratory Study: Mobile Device Use For Academics

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Malia Hoffmann
Keyword(s):  
Higher Education ◽  
Mobile Devices ◽  
Undergraduate Students ◽  
Mobile Device ◽  
Exploratory Study ◽  
Southern California ◽  
Faith Based ◽  
Multiple Devices ◽  
Device Use ◽  
Formal Class

This exploratory study surveyed how undergraduate students and higher education instructors at two small faith-based universities in Southern California used mobile devices in and outside of the class for academic purposes. The researcher cross-referenced the results from the two groups to make correlations. The results of this study showed that nearly all instructor participants had multiple devices and almost half of the student participants had two or more devices as well. Those devices are being used in and outside of formal class for academics in very basic and emerging way that are just touching the surface of their capabilities. This study found that students use their devices in class to read, reference, or search materials. Faculty reported using their devices as presentation devices most often.

scholarly journals Seeing by the Starbucks: The Social Context of Mobile Maps and Users’ Geographic Knowledges

2019 ◽  
Author(s):  
Craig M. Dalton ◽  
Jim Thatcher
Keyword(s):  
Social Context ◽  
Mobile Devices ◽  
Mobile Device ◽  
Digital Data ◽  
Business Strategies ◽  
The Social ◽  
Geographic Knowledge ◽  
Location Finding ◽  
Device Use ◽  
Mobile Maps

Locating places using maps on mobile devices is an increasingly common practice in modern life. Such maps, including Google Maps and Apple Maps, inform and shape users’ geographic understandings. Existing research finds that those who navigate with mobile devices tend to recall landmarks rather than more comprehensive forms of geographic knowledge. However, most of that research gives minimal consideration to social context. Utilizing a qualitative approach and drawing on critical work on vision, maps, and digital data, we explore the contextual, economic circumstances that partially shape the production of users’ geographic knowledge through their consumption of mobile device maps. In a focus group experiment, mobile device map users frequently referred to a particular business, a Starbucks location, in a location-finding task. This indicates that social, contextual considerations are important to informing geographic knowledges; the map application providers’ business strategies, chiefly advertising, lead to an emphasis on business-type points of interest in mobile maps, which could shape users’ subsequent geographic knowledges. This has implications not only for mobile device use, but how technology companies’ maps potentially affect everyday understandings of the world around us. 

scholarly journals Mobile device use and the cognitive function and depressive symptoms of older adults living in residential care homes

2020 ◽  
Author(s):  
Lu Lin ◽  
Xiuchen Jing ◽  
Shujiao Lv ◽  
Jinghong Liang ◽  
Li Tian ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Cognitive Function ◽  
Mobile Devices ◽  
Residential Care ◽  
Mobile Device ◽  
Care Homes ◽  
Device Use ◽  
The Impact ◽  
Moca Score

Abstract Background With the fast-paced aging and increasing digitalization of society, there has been a growing interest in the effect of mobile device use on cognitive function and depression in older adults. However, research examining this issue among older adults in residential care homes (RCHs) is scant. Therefore, this study aimed to examine the impact of mobile device use on the cognitive function and depressive symptoms of older adults living in RCHs. Methods A cross-sectional survey was conducted using a sociodemographic questionnaire, the Montreal Cognitive Assessment (MoCA) and the 15-item Geriatric Depression Scale (GDS-15). Results A total of 235 senior residents (aged 82.58 ± 5.54) in four RCHs were surveyed. Users of mobile devices had a significantly higher total MoCA score (25.02 ± 4.14) and a significantly lower GDS-15 score (3.28±2.74) than non-users (MoCA: 19.34 ± 5.21, GDS-15: 4.69±2.90). Multivariate linear regression indicate that mobile device use is significantly associated with total MoCA score, six of the seven sub-scores (visuospatial abilities and execution functions, attention, language, abstraction, delayed recall, and orientation)(P<0.05). Logistic regression showed that mobile device use was significantly associated with the level of depressive symptoms (OR=0.458, 95%CI=0.249-0.845). Conclusions Use of mobile devices has a significant association with the cognitive function and depressive symptoms of older adults living in RCHs, and thus should be encouraged as a measure to maintain and improve cognition and prevent depression.

Understanding the role of the bring-your-own-device policy in medical education and healthcare delivery at the University of Botswana’s Faculty of Medicine

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khutsafalo Kadimo ◽  
Athulang Mutshewa ◽  
Masego B. Kebaetse
Keyword(s):  
Medical Education ◽  
Mobile Devices ◽  
Mobile Device ◽  
Healthcare Delivery ◽  
Medical Schools ◽  
Bring Your Own Device ◽  
Content Type ◽  
Healthcare Facilities ◽  
Device Use ◽  
The University

Purpose Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine. Design/methodology/approach Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data. Findings The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes. Research limitations/implications BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections. Practical implications BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning. Originality/value The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.

Device use in Web Surveys

2016 ◽  
Vol 58 (4) ◽  
pp. 523-544 ◽  
Author(s):  
Aigul Mavletova ◽  
Mick P. Couper
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Internet ◽  
Participation Rates ◽  
Web Surveys ◽  
Mobile Web ◽  
Percentage Points ◽  
Internet Users ◽  
Sample Composition ◽  
Device Use

This paper hypothesises that conditional differential incentives can increase overall participation rates and the proportion of respondents who use a particular device in web surveys. Previous studies have not found effective ways of encouraging participants to use smartphones to complete web surveys. We conducted an experiment using a volunteer online access panel in Russia with 5,474 invitations sent to regular mobile internet users. We varied the invitation mode (SMS vs email) and encouragement to use a particular device for completing the survey: mobile phone or personal computer (PC). SMS increased the proportion of mobile web respondents, while email increased the proportion of PC web respondents. As expected, differential incentives increased the overall participation rates by 8–10 percentage points if higher incentives were offered for completing the survey on a mobile phone. Contrary to expectations, offering higher incentives to PC web respondents did not produce higher participation rates compared to the control condition. Both encouraging the use of a mobile phone and offering higher incentives were effective at increasing the proportion of respondents using mobile devices. In terms of both participation rates and the proportion of respondents using mobile devices, offering incentives 50% higher was as efficient as offering incentives 100% higher for mobile web respondents. Offering higher incentives to mobile web respondents also had an effect on sample composition. Significantly higher participation rates were found among females and those with higher education.

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