Abstract:The digital divide limits opportunities for those without ready access to Internet. Movement online of essential activities during COVID‐19 took inadequate Internet service from inconvenient to emergency/crisis for many households. A negative correlation between rurality and Internet speed was found at the county level, highlighting the struggle for rural areas. Schools tackle challenges of providing equitable educational access by attempting to provide access for students, while even households with service a… Show more
“…Further examples can be seen, without resulting in a review, in relation to new directions of digital health that are significantly increased at the moment, such as teleophthalmology [ 25 ] or totally new ones such as digital contact tracing [ 8 , 9 ].…”
In general, during the COVID-19 pandemic there has been a growth in the use of digital technological solutions in many sectors, from that of consumption, to Digital Health and in particular to mobile health (mHealth) where an important role has been played by mobile technology (mTech). However, this has not always happened in a uniform way. In fact, in many cases, citizens found themselves unable to take advantage of these opportunities due to the phenomenon of the Digital Divide (DD). It depends on multifaceted aspects ranging from the lack of access to instrumental and network resources, to cultural and social barriers and also to possible forms of communication disability. In the study we set ourselves the articulated goal of developing a probing methodology that addresses the problems connected to DD in a broad sense, capable of minimizing the bias of a purely electronic submission and evaluating its effectiveness and outcome. At the moment, we have submitted the survey both electronically (with an embedded solution to spread it inside the families/acquaintances) and using the wire phone. The results highlighted three polarities (a) the coherence of the two methods; (b) the outcome of the entire submission in relation to key issues (e.g., familiarity on contact tracing Apps, medical Apps, social Apps, messaging Apps, Digital-health, non-medical Apps); (c) a Digital Divide strongly dependent on age and in particular for the elderly is mainly evident in the use of mTech in general and in particular in mHealth applications. Future developments of the study foresee, after adequate data-mining, an in-depth study of all the aspects proposed in the survey, from those relating to access to resources, training, disability and other cultural factors.
“…Further examples can be seen, without resulting in a review, in relation to new directions of digital health that are significantly increased at the moment, such as teleophthalmology [ 25 ] or totally new ones such as digital contact tracing [ 8 , 9 ].…”
In general, during the COVID-19 pandemic there has been a growth in the use of digital technological solutions in many sectors, from that of consumption, to Digital Health and in particular to mobile health (mHealth) where an important role has been played by mobile technology (mTech). However, this has not always happened in a uniform way. In fact, in many cases, citizens found themselves unable to take advantage of these opportunities due to the phenomenon of the Digital Divide (DD). It depends on multifaceted aspects ranging from the lack of access to instrumental and network resources, to cultural and social barriers and also to possible forms of communication disability. In the study we set ourselves the articulated goal of developing a probing methodology that addresses the problems connected to DD in a broad sense, capable of minimizing the bias of a purely electronic submission and evaluating its effectiveness and outcome. At the moment, we have submitted the survey both electronically (with an embedded solution to spread it inside the families/acquaintances) and using the wire phone. The results highlighted three polarities (a) the coherence of the two methods; (b) the outcome of the entire submission in relation to key issues (e.g., familiarity on contact tracing Apps, medical Apps, social Apps, messaging Apps, Digital-health, non-medical Apps); (c) a Digital Divide strongly dependent on age and in particular for the elderly is mainly evident in the use of mTech in general and in particular in mHealth applications. Future developments of the study foresee, after adequate data-mining, an in-depth study of all the aspects proposed in the survey, from those relating to access to resources, training, disability and other cultural factors.
“…However, this has not always happened in a uniform way. The digital divide was a cause of this [ 10 , 11 ].…”
Section: Discussionmentioning
confidence: 99%
“…The Covid-19 pandemic has hit every corner of the planet; however, the access to these technological solutions has not always been and still is not uniform due to the phenomenon called digital divide which depends on multifaceted aspects ranging from the lack of access to instrumental and network resources, to cultural and social barriers [ 10 , 11 ] and also to possible forms of communication disability.…”
Section: The Covid-19: a Pandemic Exploded During The Mobile Technmentioning
confidence: 99%
“…An important obstacle to a full and complete use of technologies in the ways described above has in some cases been represented by the digital divide [ 10 , 11 ] which is still mainly caused by the following problems: Access to the data network limited or by the availability of resources in the region or in some cases by political reasons, such as for example due to tensions between ethnic groups and/or groups belonging to different government positions within the same state. Social factors .…”
Section: The Obstacles Caused By the
Digital Dividementioning
“…This is likely the result of more students living on or near campus with better access to reliable and fast internet connections. Many students of agronomy, soils, and environmental science come from rural areas (McCallister et al, 2005;Miller, 2011) where access to reliable and fast internet connections is often a concern (Lai & Widmar, 2020). Aristovnik et al (2020) and Mardis (2013) also reported that students from rural areas globally had problems with access to reliable internet during the COVID-19 pandemic.…”
The COVID‐19 pandemic required changes in college course delivery, which may influence student perceptions of their education. We examined those perceptions among Students of Agronomy, Soil, and Environmental Sciences (SASES). The goals were to determine how changes in education during the COVID‐19 pandemic (a) changed student perceptions of online education, (b) shifted student comfort with online education and communication, and (c) highlighted issues limiting student success. A link to an online survey was sent to SASES members in late 2020 resulting in 31 responses. Course format shifted from mostly face‐to‐face delivery to synchronous and asynchronous online delivery following the COVID‐19 shutdown. Students perceived decreased instructor effort and increased student effort. Nearly all students had access to devices. However, access to fast, reliable internet was a common issue. A small percentage of students were more likely to take online courses after the pandemic, yet a majority were now more comfortable taking online classes and using virtual meeting software. Student concern for COVID‐19 was low. However, most reported wearing masks in buildings and on campus. Students reported increases and decreases in hours worked, with both changes resulting in perceived positive and negative academic impacts. These results should be considered by instructors and administrators planning instruction format changes during and after the COVID‐19 pandemic.
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